| Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion H Zhao, M Tian, S Sun, J Shao, J Yan, S Yi, X Wang, X Tang 2017 Conference on Computer Vision and Pattern Recognition (CVPR 2017), 2017 | 1004 | 2017 |
| HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis X Liu, H Zhao, M Tian, L Sheng, J Shao, S Yi, J Yan, X Wang 2017 International Conference on Computer Vision (ICCV 2017), 2017 | 613 | 2017 |
| Balanced Meta-Softmax for Long-Tailed Visual Recognition J Ren, C Yu, S Sheng, X Ma, H Zhao, S Yi, H Li 2020 Conference on Neural Information Processing Systems (NeurIPS 2020), 2020 | 429 | 2020 |
| Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction C Yu, X Ma, J Ren, H Zhao, S Yi 2020 European Conference on Computer Vision (ECCV 2020), 2020 | 414 | 2020 |
| FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification Y Ge, Z Li, H Zhao, G Yin, S Yi, X Wang, H Li 2018 Conference on Neural Information Processing Systems (NeurIPS 2018), 2018 | 397 | 2018 |
| Efficient Attention: Attention with Linear Complexities Z Shen, M Zhang, H Zhao, S Yi, H Li 2021 Winter Conference on Application of Computer Vision (WACV 2021), 2021 | 392 | 2021 |
| Variational Relational Point Completion Network L Pan, X Chen, Z Cai, J Zhang, H Zhao, S Yi, Z Liu 2021 Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 168 | 2021 |
| Unsupervised 3D Shape Completion through GAN Inversion J Zhang, X Chen, Z Cai, L Pan, H Zhao, S Yi, CK Yeo, B Dai, CC Loy 2021 Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 114 | 2021 |
| Delving Deep into the Generalization of Vision Transformers under Distribution Shifts C Zhang, M Zhang, S Zhang, D Jin, Q Zhou, Z Cai, H Zhao, X Liu, Z Liu 2022 Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 80 | 2022 |
| PTTR: Relational 3D Point Cloud Object Tracking with Transformer C Zhou, Z Luo, Y Luo, T Liu, L Pan, Z Cai, H Zhao, S Lu 2022 Conference on Computer Vision and Pattern Recognition (CVPR 2022), 2022 | 78 | 2022 |
| Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency Z Luo, Z Cai, C Zhou, G Zhang, H Zhao, S Yi, S Lu, H Li, S Zhang, Z Liu 2021 International Conference on Computer Vision (ICCV 2021), 2021 | 71 | 2021 |
| BiPointNet: Binary Neural Network for Point Clouds H Qin, Z Cai, M Zhang, Y Ding, H Zhao, S Yi, X Liu, H Su 2021 International Conference on Learning Representations (ICLR 2021), 2021 | 47 | 2021 |
| CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing D Ren, J Zheng, J Cai, J Li, H Jiang, Z Cai, J Zhang, L Pan, M Zhang, ... 2021 International Conference on Computer Vision (ICCV 2021), 2021 | 28 | 2021 |
| IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-view Human Reconstruction KY Chan, G Lin, H Zhao, W Lin 2022 European Conference on Computer Vision (ECCV 2022), 328-344, 2022 | 17 | 2022 |
| MessyTable: Instance Association in Multiple Camera Views Z Cai, J Zhang, D Ren, C Yu, H Zhao, S Yi, CK Yeo, CC Loy 2020 European Conference on Computer Vision (ECCV 2020), 2020 | 15 | 2020 |
| REFINE: Prediction Fusion Network for Panoptic Segmentation J Ren, C Yu, Z Cai, M Zhang, C Chen, H Zhao, S Yi, H Li Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2021 | 10 | 2021 |
| ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field ZJ Tang, TJ Cham, H Zhao 2023 Conference on Computer Vision and Pattern Recognition (CVPR 2023 …, 2023 | 9 | 2023 |
| S-PIFu: Integrating Parametric Human Models with PIFu for Single-view Clothed Human Reconstruction K Chan, G Lin, H Zhao, W Lin 2022 Conference on Neural Information Processing Systems (NeurIPS 2022) 35 …, 2022 | 6 | 2022 |
| Variational relational point completion network for robust 3D classification L Pan, X Chen, Z Cai, J Zhang, H Zhao, S Yi, Z Liu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 3 | 2023 |
Shuai YiSenseTime Group LimitedVerified email at sensetime.com
