Shanghai Qi Zhi Institute PI, Assistant Professor at IIIS, Tsinghua.
Yi Li obtained Ph.D. degree from Stanford University under the supervision of Professor Leonidas J. Guibas, and subsequently served as a Research Scientist at Google Research, closely collaborating with Professor Thomas Funkhouser. Prior to that, earned a Bachelor's degree from the Department of Electronic Engineering at Tsinghua University. Research interests encompass 3D perception, computer graphics, and embodied artificial intelligence, aiming to endow robotic agents with the capability to understand and interact with the 3D world. Published over twenty papers in top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, SIGGRAPH, and SIGGRAPH Asia, and served as the Area Chair for CVPR 2022. Widely recognized in the field with over 7500 citations, notable works include ShapeNet, Spectral CNN, PointNet++, among others.
High Dimensional Computer Vision
3D/4D world model construction and open world scene understanding
Simulation for Human-Centered Embodied AI
Human interaction simulation and human-centered embodied AI simulation platform construction
Human-Robot Interaction
Multimodal-based human-robot interaction planning and skill learning
16. Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi, Language-Assisted 3D Feature Learning for Semantic Scene Understanding, Association for the Advancement of Artificial Intelligence (AAAI), 2023 查看PDF
15. Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi†, Kaisheng Ma†, Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?, International Conference on Learning Representation (ICLR), 2023 查看PDF
14. Xueyi Liu, Ji Zhang, Ruizhen Hu, Haibin Huang, He Wang, Li Yi, Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance, International Conference on Learning Representation (ICLR), 2023 查看PDF
13. Xuanyao Chen, Zhijian Liu, Haotian Tang, Li Yi, Hang Zhao, Song Han, SparseViT: Revisiting Activation Sparsity for, Conference on Computer Vision and Pattern Recognition (CVPR), 2023 查看PDF
12. Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas, JacobiNeRF: NeRF Shaping with Mutual Information Gradients, Conference on Computer Vision and Pattern Recognition (CVPR), 2023 查看PDF
11. Juntian Zheng, Lixing Fang, Qingyuan Zheng, Yun Liu, Li Yi, CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis, Conference on Computer Vision and Pattern Recognition (CVPR), 2023 查看PDF
10. Zhuoyang Zhang, Yuhao Dong, Yunze Liu, Li Yi, Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning, Conference on Computer Vision and Pattern Recognition (CVPR), 2023 查看PDF
9. Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi, Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining, International Conference on Machine Learning (ICML), 2023 查看PDF
8. Xueyi Liu, Bin Wang, He Wang, Li Yi, Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation, International Conference on Computer Vision (ICCV), 2023 查看PDF
7. Yunze Liu, Junyu Chen, Zekai Zhang, Li Yi, LeaF: Learning Frames for 4D Point Cloud Sequence Understanding, International Conference on Computer Vision (ICCV), 2023 查看PDF
6. Liuyu Bian, Pengyang Shi, Weihang Chen, Jing Xu, Li Yi†, Rui Chen†, TransTouch: Learning Transparent Objects Depth Sensing Through Sparse Touches, International Conference on Intelligent Robots and Systems (IROS), 2023 查看PDF
5. Yunze Liu, Yun Liu, Che Jiang, Kangbo Lyu, Weikang Wan, Hao Shen, Boqiang Liang, Zhoujie Fu, He Wang, Li Yi, HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction, Conference on Computer Vision and Pattern Recognition (CVPR), 2022 查看PDF
4. Xueyi Liu, Xiaomeng Xu, Anyi Rao, Chuang Gan, Li Yi, AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation, Conference on Computer Vision and Pattern Recognition (CVPR), 2022 查看PDF
3. Hong-Xing Yu, Jiajun Wu, Li Yi, Rotationally Equivariant 3D Object Detection, Conference on Computer Vision and Pattern Recognition (CVPR), 2022 查看PDF
2. Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang, CodedVTR: Codebook-Based Sparse Voxel Transformer in Geometric Regions, Conference on Computer Vision and Pattern Recognition (CVPR), 2022 查看PDF
1. Hao Wen, Yunze Liu, Jingwei Huang, Bo Duan, Li Yi, Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding, European Conference on Computer Vision (ECCV), 2022 查看PDF
