<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Projects on 一橋大学 ソーシャル・データサイエンス学部・研究科 グラフィクス&amp;ビジョン研究室 (谷田川達也研究室)</title><link>https://tatsylab.github.io/projects/</link><description>Recent content in Projects on 一橋大学 ソーシャル・データサイエンス学部・研究科 グラフィクス&amp;ビジョン研究室 (谷田川達也研究室)</description><generator>Hugo</generator><language>ja-JP</language><atom:link href="https://tatsylab.github.io/projects/index.xml" rel="self" type="application/rss+xml"/><item><title>Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform</title><link>https://tatsylab.github.io/projects/yamauchi2023binscan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/yamauchi2023binscan/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;yamauchi2023binscan&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yamauchi, Yuta and Yatagawa, Tatsuya and Ohtake, Yutaka and Suzuki, Hiromasa}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Computational Visual Media}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{9}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{319--333}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2023}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1007/s41095-022-0296-2}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Data Compression for Measured Heterogeneous Subsurface Scattering via Scattering Profile Blending</title><link>https://tatsylab.github.io/projects/yatagawa2020ssscomp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/yatagawa2020ssscomp/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt; &lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;yatagawa19data&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Data compression for measured subsurfce scattering via scattering profile blending}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yatagawa, Tatsuya and Todo, Hideki and Yamaguchi, Yasushi and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{The Visual Computer}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{36}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{3}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{541--558}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2020}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1007/s00371-018-01626-x}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;publisher&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Springer}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="movie"&gt;Movie&lt;/h2&gt;


&lt;div class="embed-container"&gt;
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&lt;br/&gt;


&lt;h2 id="demos"&gt;Demos&lt;/h2&gt;
&lt;p&gt;

&lt;strong style="font-size: 1.2rem; color:#bd2130;"&gt;You can click the image to start playing video.&lt;/strong&gt;&lt;br/&gt;


* The following videos are rendered in advance rather than being rendered at run time using WebGL.&lt;/p&gt;



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&lt;/div&gt;</description></item><item><title>Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks</title><link>https://tatsylab.github.io/projects/hattori2021dmp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/hattori2021dmp/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;hattori2021dmp&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{{Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks}}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Hattori, Shota and Yatagawa, Tatsuya and Ohtake, Yutaka and Suzuki, Hiromasa}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{CVPR Workshop on Learning to Generate 3D Shapes and Scenes}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2021}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;url&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{https://arxiv.org/abs/2107.02909}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Degree of local symmetry for geometry-aware selective part visualisation on CT volumes</title><link>https://tatsylab.github.io/projects/yasunami2022dls/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/yasunami2022dls/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;yasunami2022degree&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Degree of local symmetry for geometry-aware selective part visualisation on CT volumes}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Yasunami, Nobumichi and Yatagawa, Tatsuya and Ohtake, Yutaka and Suzuki, Hiromasa}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Nondestructive Testing and Evaluation}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{1--13}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{2022}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;publisher&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Taylor \&amp;amp; Francis}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{10.1080/10589759.2022.2090556}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;&lt;span class="c"&gt;```&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Efficient Metropolis Path Sampling for Material Editing and Re-rendering</title><link>https://tatsylab.github.io/projects/yamaguchi2018epsmlt/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/yamaguchi2018epsmlt/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt; &lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;yamaguchi18efficient&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Pacific Graphics Short Papers}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;editor&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Fu, Hongbo and Ghosh, Abhijeet and Kopf, Johannes}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{{Efficient Metropolis Path Sampling for Material Editing and Re-rendering}}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yamaguchi, Tomoya and Yatagawa, Tatsuya and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2018}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;publisher&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{The Eurographics Association}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;ISBN&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{978-3-03868-073-4}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;DOI&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.2312/pg.20181271}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="results"&gt;Results&lt;/h2&gt;


&lt;!-- Cornell box (left wall) --&gt;
&lt;div class="row image-container text-center" id="rgb"&gt;
 &lt;h2&gt;Cornell box #1&lt;/h2&gt;
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 &lt;button type="button" id="ours_64" class="button"&gt;Ours (64, 192)&lt;/button&gt;
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&lt;!-- Cornell box (tall box)--&gt;
&lt;div class="row image-container" id="glossy"&gt;
 &lt;h2&gt;Cornell box #2&lt;/h2&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img class="target" src="media/glossy/before.png"/&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;button type="button" id="before" class="button" meta="selected"&gt;Before edit&lt;/button&gt;
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 &lt;button type="button" id="rousselle" class="button"&gt;Rousselle '16&lt;/button&gt;
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 &lt;div class="twelve columns"&gt;
 &lt;button type="button" id="ours_64" class="button"&gt;Ours (64, 192)&lt;/button&gt;
 &lt;button type="button" id="ours_128" class="button"&gt;Ours (128, 128)&lt;/button&gt;
 &lt;button type="button" id="ours_256" class="button"&gt;Ours (256, 0)&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;

&lt;!-- Lamp --&gt;
&lt;div class="row image-container" id="lamp"&gt;
 &lt;h2&gt;Lamp&lt;/h2&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img class="target" src="media/lamp/before.png"/&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;button type="button" id="before" class="button" meta="selected"&gt;Before edit&lt;/button&gt;
 &lt;button type="button" id="reference" class="button"&gt;Reference&lt;/button&gt;
 &lt;button type="button" id="pssmlt" class="button"&gt;PSSMLT&lt;/button&gt;
 &lt;button type="button" id="rousselle" class="button"&gt;Rousselle '16&lt;/button&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;button type="button" id="ours_64" class="button"&gt;Ours (64, 192)&lt;/button&gt;
 &lt;button type="button" id="ours_128" class="button"&gt;Ours (128, 128)&lt;/button&gt;
 &lt;button type="button" id="ours_256" class="button"&gt;Ours (256, 0)&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;

&lt;!-- living_picture --&gt;
&lt;div class="row image-container" id="living_picture"&gt;
 &lt;h2&gt;Living room #1&lt;/h2&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img class="target" src="media/living_picture/before.png"/&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;button type="button" id="before" class="button" meta="selected"&gt;Before edit&lt;/button&gt;
 &lt;button type="button" id="reference" class="button"&gt;Reference&lt;/button&gt;
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 &lt;button type="button" id="rousselle" class="button"&gt;Rousselle '16&lt;/button&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;button type="button" id="ours_64" class="button"&gt;Ours (64, 192)&lt;/button&gt;
 &lt;button type="button" id="ours_128" class="button"&gt;Ours (128, 128)&lt;/button&gt;
 &lt;button type="button" id="ours_256" class="button"&gt;Ours (256, 0)&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;

&lt;!-- Living room wall --&gt;
&lt;div class="row image-container" id="living"&gt;
 &lt;h2&gt;Living room #2&lt;/h2&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img class="target" src="media/living/before.png"/&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;button type="button" id="before" class="button" meta="selected"&gt;Before edit&lt;/button&gt;
 &lt;button type="button" id="reference" class="button"&gt;Reference&lt;/button&gt;
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 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;button type="button" id="ours_64" class="button"&gt;Ours (64, 192)&lt;/button&gt;
 &lt;button type="button" id="ours_128" class="button"&gt;Ours (128, 128)&lt;/button&gt;
 &lt;button type="button" id="ours_256" class="button"&gt;Ours (256, 0)&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;</description></item><item><title>End-to-End Deep Learning for Reconstructing Segmented 3D CT Image ffrom Multi-Energy X-ray Projections</title><link>https://tatsylab.github.io/projects/siqi2023ctseg/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/siqi2023ctseg/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;siqi2023ctseg&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Wang, Siqi and Yatagawa, Tatsuya and Ohtake, Yutaka and Aoki, Toru and Hotta, Jun}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{End-to-End Deep Learning for Reconstructing Segmented 3D CT Image from Multi-Energy X-ray Projections}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Proceeding of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshop}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{2574--2582}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{2023}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="poster"&gt;Poster&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://drive.google.com/file/d/1LWnLwsb2btJMrvMTMy3mCdoRiYxo_RkR/view?usp=share_link"&gt;&lt;img src="https://tatsylab.github.io/projects/siqi2023ctseg/siqi2023ctseg_poster.jpg" alt="siqi2023ctseg"&gt;&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Event-based Camera Simulation using Monte Carlo Path Tracing with Adaptive Denoising</title><link>https://tatsylab.github.io/projects/tsuji2023evr/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/tsuji2023evr/</guid><description>&lt;h2 id="movie"&gt;Movie&lt;/h2&gt;
&lt;div class="embed-container youtube" style=""&gt;
 &lt;iframe
 src="https://www.youtube.com/embed/vzWYwCbFwLA"
 title="YouTube video player"
 width="480"
 height="270"
 frameborder="0"
 loading="lazy"
 allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
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 &gt;&lt;/iframe&gt;
&lt;/div&gt;

&lt;h2 id="slides"&gt;Slides&lt;/h2&gt;


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&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;tsuji2023evr&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yuta Tsuji and Tatsuya Yatagawa and Hiroyuki Kubo and Shigeo Morishima}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1109/icip49359.2023.10222771}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2023}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;month&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Proceedings of the International Conference on Image Processing ({ICIP})}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation</title><link>https://tatsylab.github.io/projects/itoh2021ddmc/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/itoh2021ddmc/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;itoh2021ddmc&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{{Extended Differentiable Marching Cubes by Manifold-Preserving Shape Inflation}}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Itoh, Kiichi and Yatagawa, Tatsuya and Ohtake, Yutaka and Suzuki, Hiromasa}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Proceedings of the British Machine Vision Conference (BMVC)}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2021}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;url&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{https://www.bmvc2021-virtualconference.com/conference/papers/paper_0334.html}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>FSNet: An Identity-Aware Generative Model for Image-based Face Swapping</title><link>https://tatsylab.github.io/projects/natsume2018fsnet/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/natsume2018fsnet/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt; &lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;natsume18fsnet&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{FSNet: An Identity-Aware Generative Model for Image-based Face Swapping}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Natsume, Ryota and Yatagawa, Tatsuya and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Proc. of Asian Conference on Computer Vision (ACCV)}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;month&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Dec}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;publisher&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Springer}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2018}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;

&lt;h1&gt;Results - &lt;strong style="font-size: 1.0rem; color: #bd2130; vertical-align: middle;"&gt;Click image to enlarge&lt;/strong&gt;&lt;/h1&gt;




&lt;div class="row"&gt;
 &lt;div class="one-half column"&gt;
 &lt;h3&gt;Face swapping&lt;/h2&gt;
 &lt;img src='./img/fsnet_swap.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
 &lt;div class="one-half column"&gt;
 &lt;h3&gt;Different Face Orientation&lt;/h3&gt;
 &lt;img src='./img/fsnet_orientation.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
&lt;/div&gt;

&lt;div class="row"&gt;
 &lt;div class="one-half column"&gt;
 &lt;h3&gt;Different Illumination&lt;/h2&gt;
 &lt;img src='./img/fsnet_illumination.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
 &lt;div class="one-half column"&gt;
 &lt;h3&gt;Swap between Same Identity&lt;/h3&gt;
 &lt;img src='./img/fsnet_same_person.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
&lt;/div&gt;</description></item><item><title>Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites</title><link>https://tatsylab.github.io/projects/siqi2022fiber/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/siqi2022fiber/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;siqi2022fiber&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Wang, Siqi and Yatagawa, Tatsuya and Suzuki, Hiromasa and Ohtake, Yutaka}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Image Based Measurement of Individual Fiber Lengths for Randomly Oriented Short Fiber Composites}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Journal of Nondestructive Evaluation}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{41}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{45}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;page&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{10.1007/s10921-022-00876-z}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{2022}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Learning Scatter Artifact Correction in Cone-Beam X-Ray CT Using Incomplete Projections with Beam Hole Array</title><link>https://tatsylab.github.io/projects/hattori2024scatter/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/hattori2024scatter/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;hattori2024learning&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Learning Scatter Artifact Correction in Cone-Beam X-Ray CT Using Incomplete Projections with Beam Hole Array}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Hattori, Haruki and Yatagawa, Tatsuya and Ohtake, Yutaka and Suzuki, Hiromasa}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Journal of Nondestructive Evaluation}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{43}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{3}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{99}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{2024}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;publisher&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Springer}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1007/s10921-024-01113-5}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks</title><link>https://tatsylab.github.io/projects/hattori2022ddmp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/hattori2022ddmp/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;hattori2022ddmp&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Learning Self-prior for Mesh Denoising using Dual Graph Convolutional Networks}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Hattori, Shota and Yatagawa, Tatsuya and Ohtake, Yutaka and Suzuki, Hiromasa}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{In Proceedings of the European Conference on Computer Vision (ECCV)}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2022}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1007/978-3-031-20062-5_21}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks</title><link>https://tatsylab.github.io/projects/hattori2024semigcn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/hattori2024semigcn/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;hattori2024semigcn&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Hattori, Shota and Yatagawa, Tatsuya and Ohtake, Yutaka and Suzuki, Hiromasa}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{IEEE Transactions on Visualization and Computer Graphics}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2024}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1109/TVCG.2024.3364365}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification</title><link>https://tatsylab.github.io/projects/sreenithy2024spotlight/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/sreenithy2024spotlight/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@InProceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;Chandran_2024_WACV&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Chandran, Sreenithy and Yatagawa, Tatsuya and Kubo, Hiroyuki and Jayasuriya, Suren}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Learning-Based Spotlight Position Optimization for Non-Line-of-Sight Human Localization and Posture Classification}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;month&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{January}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2024}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{4218-4227}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Light Source Selection in Primary-Sample-Space Neural Photon Sampling</title><link>https://tatsylab.github.io/projects/tsuji2021nppm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/tsuji2021nppm/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;tsuji2021nppm&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Tsuji, Yuta and Yatagawa, Tatsuya and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Light Source Selection in Primary-Sample-Space Neural Photon Sampling}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{SIGGRAPH Asia 2021 Posters}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;articleno&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{38}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;page&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{1--2}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{10.1145/3476124.3488639}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{2021}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="poster"&gt;Poster&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://drive.google.com/file/d/1tL2GKyFPYRmPxBQ4weF1-mnQDe1IMrId/view?usp=sharing"&gt;&lt;img src="https://tatsylab.github.io/projects/tsuji2021nppm/tsuji2021nppm_poster.jpg" alt="tsuji2021nppm"&gt;&lt;/a&gt;&lt;/p&gt;</description></item><item><title>LinSSS: Linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering</title><link>https://tatsylab.github.io/projects/yatagawa2020linsss/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/yatagawa2020linsss/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;yatagawa2020linsss&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{{LinSSS: Linear decomposition of heterogeneous subsurface scattering for real-time screen-space rendering}}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yatagawa, Tatsuya and Yamaguchi, Yasushi and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{The Visual Computer}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{36}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{1979--1992}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2020}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1007/s00371-020-01915-4}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="movie"&gt;Movie&lt;/h2&gt;


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&lt;/div&gt;</description></item><item><title>Monte Carlo Path Tracing and Statistical Event Detection for Event Camera Simulation</title><link>https://tatsylab.github.io/projects/manabe2024evr/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/manabe2024evr/</guid><description>&lt;h2 id="movie"&gt;Movie&lt;/h2&gt;
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&lt;h2 id="slides"&gt;Slides&lt;/h2&gt;



&lt;div class="embed-container"&gt;
 &lt;iframe src="https://drive.google.com/file/d/1l2NmvGH8yghXZxVySbpFF75L3dUW6v71/preview" width="640" height="480" frameborder="0" allowfullscreen&gt;&lt;/iframe&gt;
&lt;/div&gt;

&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;manabe2024evr&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yuichiro Manabe and Tatsuya Yatagawa and Shigeo Morishima and Hiroyuki Kubo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Monte Carlo Path Tracing and Statistical Event Detection for Event Camera Simulation}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Proceedings of the International Conference on Computational Photography ({ICCP})}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2024}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1109/ICCP61108.2024.10644728}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>NeMCoF: Neural Material Composition Fields for Material Decomposition in Sparse-View Spectral X-ray CT</title><link>https://tatsylab.github.io/projects/hotta2025nemcof/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/hotta2025nemcof/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;hotta2025nemcof&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{NeMCoF: Neural Material Composition Fields for Material Decomposition in Sparse-View Spectral X-ray CT}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Hotta, Takumi and Yatagawa, Tatsuya and Ohtake, Yutaka and Aoki, Toru}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Journal of Nondestructive Evaluation}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{44}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{4}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{122}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{2025}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;publisher&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Springer}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{10.1007/s10921-025-01263-0}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Primitive-based Model Reduction for Huge 3D Meshes of Industrial Plants</title><link>https://tatsylab.github.io/projects/haruki2024model/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/haruki2024model/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;hattori2024model&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Primitive-based Model Reduction for Huge 3D Meshes of Industrial Plants}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Hattori, Haruki and Ohtake, Yutaka and Yatagawa, Tatsuya and Miyamoto, Kazutoshi and Hirota, Masashi}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR)}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2024}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="poster"&gt;Poster&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://drive.google.com/file/d/1wgMPMP-U63PhHPJSsCPLC_9i13eCqQs-/view?usp=sharing"&gt;&lt;img src="https://tatsylab.github.io/projects/haruki2024model/haruki2024model_poster.jpg" alt="haruki2024model_poster"&gt;&lt;/a&gt;&lt;/p&gt;</description></item><item><title>Real-time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights</title><link>https://tatsylab.github.io/projects/kuge2019lpal/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/kuge2019lpal/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@journal&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;kuge19lpal&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{{Real-time Indirect Illumination of Emissive Inhomogeneous Volumes using Layered Polygonal Area Lights}}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Kuge, Takahiro and Yatagawa, Tatsuya and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Computer Graphics Forum}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{38}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{7}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{449--460}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2019}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1111/cgf.13851}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="movie"&gt;Movie&lt;/h2&gt;
&lt;div class="embed-container youtube" style=""&gt;
 &lt;iframe
 src="https://www.youtube.com/embed/9WfmoZGQ5fc"
 title="demo"
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&lt;/div&gt;</description></item><item><title>Real-time Rendering of Layered Materials with Anisotropic Normal Distributions</title><link>https://tatsylab.github.io/projects/yamaguchi2019anisolayer/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/yamaguchi2019anisolayer/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;yamaguchi2020anisolayer&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{{Real-time rendering of layered materials with anisotorpic normal distributions}}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yamaguchi, Tomoya and Yatagawa, Tatsuya and Tokuyoshi, Yusuke and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Computational Visual Media}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{6}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{29--36}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2020}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1007/s41095-019-0154-z}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;yamaguchi2019anisolayer&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{{Real-time Rendering of Layered Materials with Anisotorpic Normal Distributions}}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yamaguchi, Tomoya and Yatagawa, Tatsuya and Tokuyoshi, Yusuke and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{SIGGRAPH Asia 2019, Technical Brief}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2019}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1145/3355088.3365165}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;publisher&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{ACM}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="movie"&gt;Movie&lt;/h2&gt;


&lt;div class="embed-container"&gt;
 &lt;iframe width="560" height="315" src="https://www.youtube.com/embed/VM53yLu4QBU" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen&gt;&lt;/iframe&gt;
&lt;/div&gt;</description></item><item><title>Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines</title><link>https://tatsylab.github.io/projects/kuge2021bezlight/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/kuge2021bezlight/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;Kuge2022BezLight&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Takahiro Kuge and Tatsuya Yatagawa and Shigeo Morishima}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="na"&gt;issn&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2331-7418}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Journal of Computer Graphics Techniques (JCGT)}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;month&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{February}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;day&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{18}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{1}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{1--16}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Real-time Shading with Free-form Planar Area Lights using Linearly Transformed Cosines}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;url&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{http://jcgt.org/published/0011/01/01/}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{11}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2022}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="movie"&gt;Movie&lt;/h2&gt;
&lt;div class="embed-container youtube" style=""&gt;
 &lt;iframe
 src="https://www.youtube.com/embed/yfa2H92Uncw"
 title="YouTube video player"
 width="480"
 height="270"
 frameborder="0"
 loading="lazy"
 allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
 referrerpolicy="strict-origin-when-cross-origin"
 allowfullscreen
 &gt;&lt;/iframe&gt;
&lt;/div&gt;

&lt;h2 id="slides-at-i3d-2022"&gt;Slides (at I3D 2022)&lt;/h2&gt;



&lt;script async class="speakerdeck-embed" data-id="102aa3a867314a42bf510630ae6e42db" data-ratio="1.77777777777778" src="//speakerdeck.com/assets/embed.js"&gt;&lt;/script&gt;



&lt;h2 id="poster-at-i3d-2022"&gt;Poster (at I3D 2022)&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://drive.google.com/file/d/1SFdN20tpFsmQy4uOX8-hL4Bnpbm_TiUs/view?usp=sharing"&gt;&lt;img src="https://tatsylab.github.io/projects/kuge2021bezlight/kuge2022bezlight_poster.jpg" alt="kuge2022bezlight"&gt;&lt;/a&gt;&lt;/p&gt;</description></item><item><title>RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces</title><link>https://tatsylab.github.io/projects/natsume2018rsgan/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/natsume2018rsgan/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;natsume18rsgan&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{RSGAN: Face Swapping and Editing using Face and Hair Representation in Latent Spaces}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Natsume, Ryota and Yatagawa, Tatsuya and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{arXiv preprint arXiv:1804.03447}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2018}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;

&lt;h1&gt;Results - &lt;strong style="font-size: 1.0rem; color: #bd2130; vertical-align: middle;"&gt;Click image to enlarge&lt;/strong&gt;&lt;/h1&gt;


&lt;h2 id="face-swap"&gt;Face swap&lt;/h2&gt;


&lt;div class="row"&gt;
 &lt;div class="twelve columns "&gt;
 &lt;img src='./img/faceswap1.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img src='./img/faceswap2.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
&lt;/div&gt;


&lt;h2 id="conditioned-face-swap"&gt;Conditioned face swap&lt;/h2&gt;


&lt;div class="row"&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img src='./img/attribute1.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img src='./img/attribute2.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img src='./img/attribute3.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
&lt;/div&gt;


&lt;h2 id="random-part-sampling"&gt;Random part sampling&lt;/h2&gt;


&lt;div class="row"&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img src='./img/randomsample1.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img src='./img/randomsample2.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img src='./img/randomsample3.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
&lt;/div&gt;


&lt;h2 id="part-interpolation"&gt;Part interpolation&lt;/h2&gt;


&lt;div class="row"&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img src='./img/part_interp1.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
 &lt;div class="twelve columns"&gt;
 &lt;img src='./img/part_interp2.jpg' alt='' class='' style='' /&gt;
 &lt;/div&gt;
&lt;/div&gt;</description></item><item><title>Sparse pixel sampling for appearance edit propagation</title><link>https://tatsylab.github.io/projects/yatagawa2015sps/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/yatagawa2015sps/</guid><description>&lt;nav class="navbar navbar-expand-lg navbar-expand-md navbar-dark bg-dark rounded mb-2"&gt;
 &lt;a class="navbar-bland" href="#"&gt;&lt;/a&gt;
 &lt;button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarSupportedContent" aria-controls="navbarSupportedContent" aria-expanded="false" aria-label="Toggle navigation"&gt;
 &lt;span class="navbar-toggler-icon"&gt;&lt;/span&gt;
 &lt;/button&gt;
 &lt;div class="collapse navbar-collapse" id="navbarSupportedContent"&gt;
 &lt;ul class="navbar-nav mr-auto"&gt;
 &lt;li class="nav-item dropdown"&gt;
 &lt;a href="#" class="nav-link dropdown-toggle active" id="navbarDropdown1" data-toggle="dropdown" role="button"&gt;Image Editing&lt;/a&gt;
 &lt;div class="dropdown-menu bg-dark" aria-labelledby="navbarDropdown1"&gt;
 &lt;a class="dropdown-item" href="./index.html#tower"&gt;Figure 5(a) (Tower)&lt;/a&gt;
 &lt;a class="dropdown-item" href="./index.html#dragonfly"&gt;Figure 5(b) (Dragonfly)&lt;/a&gt;
 &lt;a class="dropdown-item" href="./index.html#cherry"&gt;Figure 5(c) (Cherries)&lt;/a&gt;
 &lt;a class="dropdown-item" href="./index.html#crystal"&gt;Figure 5(d) (Glass animals)&lt;/a&gt;
 &lt;a class="dropdown-item" href="./index.html#tulips"&gt;Figure 7 (Tulips)&lt;/a&gt;
 &lt;/div&gt;
 &lt;/li&gt;
 &lt;li class="nav-item dropdown"&gt;
 &lt;a href="#" class="nav-link dropdown-toggle active" id="navbarDropdown2" data-toggle="dropdown" role="button"&gt;Video Editing&lt;/a&gt;
 &lt;div class="dropdown-menu bg-dark" aria-labelledby="nabvarDropdown2"&gt;
 &lt;a class="dropdown-item" href="./index.html#video"&gt;Figure 6 (Butterfly)&lt;/a&gt;
 &lt;/div&gt;
 &lt;/li&gt;
 &lt;li class="nav-item dropdown"&gt;
 &lt;a href="#" class="nav-link dropdown-toggle active" id="navbarDropdown3" data-toggle="dropdown" role="button"&gt;System Demo&lt;/a&gt;
 &lt;div class="dropdown-menu bg-dark" aria-labelledby="navbarDropdown3"&gt;
 &lt;a class="dropdown-item" href="./index.html#demo"&gt;System demo&lt;/a&gt;
 &lt;/div&gt;
 &lt;/li&gt;
 &lt;li class="nav-item"&gt;&lt;a class="nav-link active" href="#demo-usage"&gt;Demo Usage&lt;/a&gt;&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/div&gt;
&lt;/nav&gt;
&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt; &lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;yatagawa15sparse&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{{Sparse pixel sampling for appearance edit propagation}}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yatagawa, Tatsuya and Yamaguchi, Yasushi}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{The Visual Computer}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{2015}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;month&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Jun}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{31}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{6}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;pages&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{1101--1111}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;ISBN&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{1432-2315}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;DOI&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1007/s00371-015-1094-y}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="image-editing"&gt;Image Editing&lt;/h2&gt;
&lt;div class="image_container" id="tower"&gt;
 &lt;img id="image" alt="tower" style="width: 100%;" src="./results/tower/image_stroked_001.jpg" /&gt;
 &lt;div class="button-group"&gt;
 &lt;button class="button" id="0"&gt;Original&lt;/button&gt;
 &lt;button class="button" id="1"&gt;Result&lt;/button&gt;
 &lt;button class="button" id="2"&gt;Sample placement&lt;/button&gt;
 &lt;button class="button" id="3"&gt;Center edits&lt;/button&gt;
 &lt;button class="button" id="4"&gt;Parameter map&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;
&lt;div class="image_container" id="dragonfly"&gt;
 &lt;img id="image" alt="dragonfly" style="width: 100%;" src="./results/dragonfly/image_stroked_001.jpg" /&gt;
 &lt;div class="button-group"&gt;
 &lt;button class="button" id="0"&gt;Original&lt;/button&gt;
 &lt;button class="button" id="1"&gt;Result&lt;/button&gt;
 &lt;button class="button" id="2"&gt;Sample placement&lt;/button&gt;
 &lt;button class="button" id="3"&gt;Center edits&lt;/button&gt;
 &lt;button class="button" id="4"&gt;Parameter map&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;
&lt;div class="image_container" id="cherry"&gt;
 &lt;img id="image" alt="cherry" style="width: 100%;" src="./results/cherry/image_stroked_001.jpg" /&gt;
 &lt;div class="button-group"&gt;
 &lt;button class="button" id="0"&gt;Original&lt;/button&gt;
 &lt;button class="button" id="1"&gt;Result&lt;/button&gt;
 &lt;button class="button" id="2"&gt;Sample placement&lt;/button&gt;
 &lt;button class="button" id="3"&gt;Center edits&lt;/button&gt;
 &lt;button class="button" id="4"&gt;Parameter map&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;
&lt;div class="image_container" id="crystal"&gt;
 &lt;img id="image" alt="crystal" style="width: 100%;" src="./results/crystal/image_stroked_001.jpg" /&gt;
 &lt;div class="button-group"&gt;
 &lt;button class="button" id="0"&gt;Original&lt;/button&gt;
 &lt;button class="button" id="1"&gt;Result&lt;/button&gt;
 &lt;button class="button" id="2"&gt;Sample placement&lt;/button&gt;
 &lt;button class="button" id="3"&gt;Center edits&lt;/button&gt;
 &lt;button class="button" id="4"&gt;Parameter map&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;
&lt;div class="image_container" id="tulips"&gt;
 &lt;img id="image" alt="tulips" style="width: 100%;" src="./results/tulips/image_stroked_001.jpg" /&gt;
 &lt;div class="button-group"&gt;
 &lt;button class="button" id="0"&gt;Original&lt;/button&gt;
 &lt;button class="button" id="1"&gt;Result&lt;/button&gt;
 &lt;button class="button" id="2"&gt;Sample placement&lt;/button&gt;
 &lt;button class="button" id="3"&gt;Center edits&lt;/button&gt;
 &lt;button class="button" id="4"&gt;Parameter map&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;
&lt;div class="image_container" id="chicks"&gt;
 &lt;img id="image" alt="chicks" style="width: 100%;" src="./results/chicks/image_stroked_001.jpg" /&gt;
 &lt;div class="button-group"&gt;
 &lt;button class="button" id="0"&gt;Original&lt;/button&gt;
 &lt;button class="button" id="2"&gt;Sample placement&lt;/button&gt;
 &lt;button class="button" id="5"&gt;Mask&lt;/button&gt;
 &lt;/div&gt;
&lt;/div&gt;
&lt;h2 id="video-editing"&gt;Video Editing&lt;/h2&gt;
&lt;div class="video_container"&gt;
 &lt;div id="video" style="width: 50%; float: left; padding-right: 10px;"&gt;
 &lt;h3 class="media-title"&gt;Input&lt;/h3&gt;
 &lt;video id="input" width="100%" src="./results/butterfly/input.mp4"&gt;
 Please use a browser which supports the HTML5 video tag.
 &lt;/video&gt;
 &lt;/div&gt;
 &lt;div id="video" style="width: 50%; float: left; padding-right: 10px;"&gt;
 &lt;h3 class="media-title"&gt;Output&lt;/h3&gt;
 &lt;video id="output" width="100%" src="./results/butterfly/output.mp4"&gt;
 Please use a browser which supports the HTML5 video tag.
 &lt;/video&gt;
 &lt;/div&gt;
 &lt;div id="video-button"&gt;
 &lt;button class="button"&gt;&lt;i class="fas fa-play"&gt;&lt;/i&gt;&lt;/button&gt;
 &lt;strong style="color: #bd2130"&gt; &amp;larr; push left button to play&lt;/strong&gt;
 &lt;/div&gt;
&lt;/div&gt;
&lt;h3 id="demo-1"&gt;Demo 1&lt;/h3&gt;
&lt;div class="embed-container"&gt;
 &lt;iframe src="https://player.vimeo.com/video/124372476" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;
&lt;/div&gt;
&lt;h3 id="demo-2-interactive-mode"&gt;Demo 2 (interactive mode)&lt;/h3&gt;
&lt;div class="embed-container"&gt;
 &lt;iframe src="https://player.vimeo.com/video/124372475" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;
&lt;/div&gt;
&lt;h2 id="matlab-demo-usage"&gt;MATLAB demo usage&lt;/h2&gt;
&lt;p&gt;A simple MATLAB implementation of the proposed system is provided in the supplemental materials.
The demo program includes two main scripts:&lt;/p&gt;</description></item><item><title>Sparse-View Cone-Beam CT Reconstruction by Bar-by-Bar Neural FDK Algorithm</title><link>https://tatsylab.github.io/projects/siqi2023bbb/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/siqi2023bbb/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;siqi2023bbb&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Wang, Siqi and Yatagawa, Tatsuya and Suzuki, Hiromasa and Ohtake, Yutaka}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Sparse-View Cone-Beam CT Reconstruction by Bar-by-Bar Neural FDK Algorithm}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{Nondestructive Testing and Evaluation}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;page&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{10.1080/10589759.2023.2195646}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt;&lt;span class="p"&gt;=&lt;/span&gt;&lt;span class="s"&gt;{2023}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>Template-Based Dynamic-Background Removal for Fast Video Completion</title><link>https://tatsylab.github.io/projects/yatagawa2012dbgrem/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/yatagawa2012dbgrem/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;


&lt;div style="text-align: justify"&gt;
Video completion is a technique to remove large portion of area in video by detecting other similar portion from input video.
Recently, preliminarily classifying input video pixel into foreground and background is found to be efficient for accelerating video
completion procedure. Though existing completion algorithms only pay attention to moving foreground, many videos contain moving background.
Therefore they are originally difficult to handle videos with moving background.
Many background subtraction algorithms can extract moving objects without any user guide, but they cannot distinguish moving foreground and
moving background. We presents the novel approach to remove moving background region automatically and apply existing fast completion
algorithms to videos with moving background.
&lt;/div&gt;


&lt;h2 id="results"&gt;Results&lt;/h2&gt;
&lt;h3 id="foreground-extraction"&gt;Foreground Extraction&lt;/h3&gt;


&lt;div class="row"&gt;
 &lt;div class="twelve columns"&gt;
 &lt;div class="embed-container"&gt;
 &lt;iframe src="http://www.youtube.com/embed/PlqMglRV1Pw?rel=0&amp;hd=1" frameborder="0" allowfullscreen&gt;&lt;/iframe&gt;
 &lt;/div&gt;
 &lt;/div&gt;
&lt;/div&gt;

&lt;div class="row text-center"&gt;
 &lt;div class="one-half column"&gt;&lt;span style="font-weight:bold"&gt;(upper left)&lt;/span&gt; input video&lt;/div&gt;
 &lt;div class="one-half column"&gt;&lt;span style="font-weight:bold"&gt;(upper right)&lt;/span&gt; simple thresholding&lt;/div&gt;
&lt;/div&gt;

&lt;div class="row text-center"&gt;
 &lt;div class="one-half column"&gt;&lt;span style="font-weight:bold"&gt;(lower left)&lt;/span&gt; Zivkovic 2004 [1]&lt;/div&gt;
 &lt;div class="one-half column"&gt;&lt;span style="font-weight:bold"&gt;(lower right)&lt;/span&gt; our result&lt;/div&gt;
&lt;/div&gt;


&lt;h3 id="completion-01"&gt;Completion 01&lt;/h3&gt;


&lt;div class="row"&gt;
 &lt;div class="embed-container"&gt;
 &lt;iframe src="http://www.youtube.com/embed/EsDMM2b2RTg?rel=0&amp;hd=1" frameborder="0" allowfullscreen&gt;&lt;/iframe&gt;
 &lt;/div&gt;
&lt;/div&gt;
&lt;div class="row text-center"&gt;
 &lt;div class="one-half column"&gt;&lt;span style="font-weight:bold"&gt;(left)&lt;/span&gt; input video&lt;/div&gt;
 &lt;div class="one-half column"&gt;&lt;span style="font-weight:bold"&gt;(right)&lt;/span&gt; output video&lt;/div&gt;
&lt;/div&gt;


&lt;h2 id="completion-02"&gt;Completion 02&lt;/h2&gt;


&lt;div class="row"&gt;
 &lt;div class="embed-container"&gt;
 &lt;iframe width="600" height="260" src="http://www.youtube.com/embed/Fmnq2GdtHmg?rel=0&amp;hd=1" frameborder="0" allowfullscreen&gt;&lt;/iframe&gt;
 &lt;/div&gt;
&lt;/div&gt;

&lt;div class="row text-center"&gt;
 &lt;div class="one-half column"&gt;&lt;span style="font-weight:bold"&gt;(left)&lt;/span&gt; input video&lt;/div&gt;
 &lt;div class="one-half column"&gt;&lt;span style="font-weight:bold"&gt;(right)&lt;/span&gt; output video&lt;/div&gt;
&lt;/div&gt;</description></item><item><title>Temporally Coherent Video Editing using an Edit Propagation Matrix</title><link>https://tatsylab.github.io/projects/yatagawa2014tcve/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/yatagawa2014tcve/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;yatagawa14efficient&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;	&lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Computers \&amp;amp; Graphics}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;	&lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{{Temporally coherent video editing using an edit propagation matrix}}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;	&lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Yatagawa, Tatsuya and Yamaguchi, Yasushi}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;	&lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2014}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;	&lt;span class="na"&gt;publisher&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Elsevier}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;	&lt;span class="na"&gt;volume&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{43}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;	&lt;span class="na"&gt;pages&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{1--10}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;	&lt;span class="na"&gt;ISSN&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{0097-8493}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;	&lt;span class="na"&gt;DOI&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1016/j.cag.2014.05.001}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="movie"&gt;Movie&lt;/h2&gt;


&lt;div class="embed-container"&gt;
	&lt;iframe src="https://player.vimeo.com/video/102291512" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;
&lt;/div&gt;</description></item><item><title>Towards accelerating polarization path tracing of multi-bounce Smith microfacet BSDFs</title><link>https://tatsylab.github.io/projects/ohba2025polarized/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/ohba2025polarized/</guid><description>&lt;h2 id="poster"&gt;Poster&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://drive.google.com/file/d/1X_vLXxy5Zr7wWCmx5JNzl-QJiQlu-DWQ/view?usp=drive_link"&gt;&lt;img src="https://tatsylab.github.io/projects/ohba2025polarized/ohba2025polarized_poster.jpg" alt="ohba2025polarized"&gt;&lt;/a&gt;&lt;/p&gt;
&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@inproceedings&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;ohba2025towards&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Ohba, Hidehito and Yatagawa, Tatsuya and Morishima, Shigeo}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Towards accelerating polarization path tracing of multi-bounce Smith microfacet BSDFs}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2025}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;publisher&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Association for Computing Machinery}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1145/3721250.3742996}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;booktitle&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Posters}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;articleno&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{76}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;numpages&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;series&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{SIGGRAPH Posters &amp;#39;25}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item><item><title>X-ray 3D Fiber Orientation Tomography via Alternating Optimization of Scattering Coefficients and Directions</title><link>https://tatsylab.github.io/projects/mori2024talbot/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://tatsylab.github.io/projects/mori2024talbot/</guid><description>&lt;h2 id="citation"&gt;Citation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" class="chroma"&gt;&lt;code class="language-bibtex" data-lang="bibtex"&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="nc"&gt;@article&lt;/span&gt;&lt;span class="p"&gt;{&lt;/span&gt;&lt;span class="nl"&gt;mori2024xray&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;title&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{X-ray 3D Fiber Orientation Tomography via Alternating Optimization of Scattering Coefficients and Directions}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;author&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Mori, Tomoki and Ohtake, Yutaka and Yatagawa, Tatsuya and Kido, Kazuhiro and Tsuboi, Yasunori}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;journal&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{Journal of Nondestructive Evaluation}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;volume&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{43}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;number&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;year&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{2024}&lt;/span&gt;&lt;span class="p"&gt;,&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt; &lt;span class="na"&gt;doi&lt;/span&gt; &lt;span class="p"&gt;=&lt;/span&gt; &lt;span class="s"&gt;{10.1007/s10921-024-01066-9}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span class="line"&gt;&lt;span class="cl"&gt;&lt;span class="p"&gt;}&lt;/span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;</description></item></channel></rss>