Papers

• Tianxing Li, Zhi Qiao, Zihui Li, Rui Shi, Qing Zhu. GarTrans: Transformer-Based Architecture for Dynamic and Detailed Garment Deformation. Computational Visual Media, accept.

• Tianxing Li, Rui Shi, Qing Zhu, Takashi Kanai. SwinGar: Spectrum-Inspired Neural Dynamic Deformation for Free-Swinging Garments. IEEE Transactions on Visualization and Computer Graphics, 30(10), pp.6913-6927, 2024. (presented at Pacific Graphics 2024)

• Tianxing Li, Rui Shi, Zihui Li, Takashi Kanai, Qing Zhu. Efficient deformation learning of varied garments with a structure-preserving multilevel framework. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2024.

• Rui Shi, Tianxing Li, Liguo Zhang, Yasushi Yamaguchi. Visualization Comparison of Vision Transformers and Convolutional Neural Networks. IEEE Transactions on Multimedia, 2024, 26: 2327-2339.

• Tianxing Li, Rui Shi, Takashi Kanai. Detail-Aware Deep Clothing Animations Infused with Multi-Source Attributes. Computer Graphics Forum, 42(1), pp.231-244, 2023. (presented at Eurographics 2023)

• Rui Shi, Tianxing Li, Yasushi Yamaguchi. Understanding Contributing Neurons via Attribution Visualization. Neurocomputing, 550:126492, 2023.

• Zhi Qiao, Tianxing Li, Li Hui, Ruijun Liu. A Deep Learning‐Based Framework for Fast Generation of Photorealistic Hair Animations. IET Image Processing, 17(2), pp.375-387, 2023.

• Rui Shi, Tianxing Li, Yasushi Yamaguchi. Region-Conscious Visualization of Output-Targeted Neuron Features. Visual Computing, Article No. 40, 2022.

• Rui Shi, Tianxing Li, Yasushi Yamaguchi. Output-Targeted Baseline for Neuron Attribution Calculation. Image and Vision Computing, 124: 104516, 2022.

• Zhen Luo, Tianxing Li, Takashi Kanai. GarMatNet: A Learning-based Method for Predicting 3D Garment Mesh with Parameterized Materials. 14th ACM SIGGRAPH Conference on Motion, Interaction, and Games (MIG 2021), Article No.4, pp.1-10, 2021.

• Tianxing Li, Rui Shi, Takashi Kanai. MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs. Computer Graphics Forum, 40(2) (Eurographics 2021 Conference Issue), pp.537-548, 2021.

• Tianxing Li, Rui Shi, Takashi Kanai. DenseGATs: A Graph-Attention-Based Network for Nonlinear Character Deformation. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (San Francisco, CA, 15-17 September 2020), Article No.5, May 2020.

• Rui Shi, Tianxing Li, Yasushi Yamaguchi. Class-Discriminative Feature Group and its Visualization. Visual Computing, 2020, Article No.36.

• Rui Shi, Tianxing Li, Yasushi Yamaguchi. Group Visualization of Class-Discriminative Features. Neural Networks, 2020, 129: 75-90.

• Rui Shi, Tianxing Li, Yasushi Yamaguchi. An Attribution-Based Pruning Method for Real-Time Mango Detection with YOLO Network. Computers and Electronics in Agriculture, 2020, 169: 105214.

Workshops & Posters & Invited talks

• Tianxing Li, Rui Shi, Takashi Kanai. MultiResGNet: Approximating Nonlinear Deformation via Multi-Resolution Graphs. Visual Computing 2021, Invited presentation.

• Tianxing Li, Automatic Deformation Refinement for Animated Characters via Deep Graph Networks. Invited presentation at Huawei Technologies Japan K.K.

• Tianxing Li, Rui Shi, Takashi Kanai. DenseGATs: キャラクタの非線形変形のためのグラフアテンションネットワーク. Visual Computing 2020 ポスター, P41, オンライン, 12月, 2020.

• Rui Shi, Tianxing Li, Yasushi Yamaguchi. An Attribution-Based Pruning Method for Single Object Detection Network. Technical Committee on Pattern Recognition and Media Understanding (PRMU), 2019, 119 (10): 17-20.

Patents

• Jian Zhao, Dong Zhao, Tianxing Li, Jianzhong Zhang. A Method for Recognizing Oil Peony Fruit Image Based on Force. Publication number: CN105844264B.
• Tianxing Li, Dong Zhao, Jian Zhao. A Kind of Oil Tree Peony Picking Fruit Actuating Unit. Publication number: CN204598709U.