News
Feb 16, 2024
Dr. Yatagawa’s mini-lecture, “Does AI have a bias? Machine learning and inductive bias” is now available at the Yumenavi lecture website (in Japanese). [Reference (JP)]
Feb 9, 2024
A collaborative study of Dr. Yatagawa and the University of Tokyo has been published in IEEE Transactions on Visualization and Computer Graphics. [Reference] [Paper]
Jan 7, 2024
A collaborative study of Dr. Yatagawa with the University of Tokyo and Konica Minolta, Inc. has been presented at International Conference on Industrial Computed Tomography (iCT) 2024 at Wels, Austria. [Reference]
Jan 4, 2024
A collaborative study of Dr. Yatagawa with Arizona State University and Chiba University has been presented at IEEE/CVF Winter Conference on Applications of Computer Vision at Hawaii, USA. [Reference]
Dec 20, 2023
A collaborative study of Dr. Yatagawa with Waseda University received the student’s outstanding presentation award from IPSJ SIG-CGVI. [Reference (JP)]
Dec 5, 2023
A collaborative study of Dr. Yatagawa with the University of Tokyo and Lattice Technology Co.,Ltd. has been published in Advanced Engineering Informatics. [Reference]
Oct 8, 2023
A collaborative study of Dr. Yatagawa with Waseda University and Chiba University has been presented at IEEE International Conference on Image Processing at Kuala Lumpur, Malaysia. [Reference] [Paper]
Oct 2, 2023
A collaborative study of Dr. Yatagawa with the University of Tokyo has been presented at IEEE/CVF International Conference on Computer Vision Workshop at Paris, France. [Reference] [Paper]
Sep 20, 2023
A collaborative study of Dr. Yatagawa with Chiba University and Waseda University received the FORUM 8 award in Visual Computing 2023 (domestic conference). [Reference (JP)]
Sep 17, 2023
Dr. Yatagawa gave a tutorial talk, “Deep Learning for 3D Meshes” (in Japanese) at Visual Computing 2023. [Reference (JP)] [Slides (JP)]
Jun 8, 2023
Dr. Yatagawa received the “Academic Encouragement Award” from Japan Society of Nondestructive Inspection (JSNDI).
Feb 28, 2023
A collaborative study of Dr. Yatagawa with Waseda University and Chiba University received the “Best Presentation Award” from JSPS SIG-CGVI. [Reference]
Oct 1, 2022
Graphics and Vision Lab. by Tatsuya Yatagawa is launched at the Faculty of Social Data Science, Hitotsubashi University. [Reference]
Research
Our lab studies on computer graphics and computer vision techniques, focusing on image, video, and geometry processing for 2D and 3D real-world data and their purpose-specific visualization. You can find recent work of our lab in the following list.
You can also find the entire list of projects from the [RESEARCH] page.
If you are interested in joining our lab as an under- and post-graduate student (and also postdoc), please also visit the [JOIN US] page.
graphics
geometry
deep learning
Reference:
Shota Hattori, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Learning Self-Prior for Mesh Inpainting Using Self-Supervised Graph Convolutional Networks," IEEE Transactions on Visualization and Computer Graphics (2024).
graphics
rendering
Reference:
Yuta Tsuji, Tatsuya Yatagawa, Hiroyuki Kubo, Shigeo Morishima, "Event-Based Camera Simulation Using Monte Carlo Path Tracing with Adaptive Denoising," IEEE International Conference on Image Processing 2023.
applications
NDT
Reference:
Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, Toru Aoki, Jun Hotta, "End-to-End Deep Learning for Reconstructing Segmented 3D CT Image from Multi-Energy X-ray Projections," IEEE/CVF Conference on Computer Vision Workshop 2023.
applications
NDT
Reference:
Siqi Wang, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Sparse-View Cone-Beam CT Reconstruction by Bar-by-Bar Neural FDK Algorithm," Nondestructive Testing and Evaluation (2023).
graphics
geometry
applications
Reference:
Yuta Yamauchi, Tatsuya Yatagawa, Yutaka Ohtake, Hiromasa Suzuki, "Bin-scanning: Segmentation of X-ray CT volume of binned parts using Morse skeleton graph of distance transform," Computational Visual Media (2023).
Access
186-8601
2-1, Naka, Kunitachi, Tokyo
Room 229, East Main Bldg.
2-1, Naka, Kunitachi, Tokyo
Room 229, East Main Bldg.
Hitotsubashi University
School of Social Data Science
Graphics and Vision Labratory
Graphics and Vision Labratory