| RMPE: Regional multi-person pose estimation HS Fang, S Xie, YW Tai, C Lu Proceedings of the IEEE International Conference on Computer Vision, 2334-2343, 2017 | 2008 | 2017 |
| Crowdpose: Efficient crowded scenes pose estimation and a new benchmark J Li, C Wang, H Zhu, Y Mao, HS Fang, C Lu CVPR 2019(oral), 2019 | 523 | 2019 |
| Learning pose grammar to encode human body configuration for 3d pose estimation HS Fang, Y Xu, W Wang, X Liu, SC Zhu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 399 | 2018 |
| Graspnet-1billion: A large-scale benchmark for general object grasping HS Fang, C Wang, M Gou, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 379 | 2020 |
| Transferable Interactiveness Knowledge for Human-Object Interaction Detection YL Li, S Zhou, X Huang, L Xu, Z Ma, HS Fang, Y Wang, C Lu CVPR 2019, 2019 | 326 | 2019 |
| Alphapose: Whole-body regional multi-person pose estimation and tracking in real-time HS Fang, J Li, H Tang, C Xu, H Zhu, Y Xiu, YL Li, C Lu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 246 | 2022 |
| Instaboost: Boosting instance segmentation via probability map guided copy-pasting HS Fang, J Sun, R Wang, M Gou, YL Li, C Lu ICCV 2019, 2019 | 206 | 2019 |
| Cross-domain adaptation for animal pose estimation J Cao, H Tang, HS Fang, X Shen, C Lu, YW Tai Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 159 | 2019 |
| Pairwise Body-Part Attention for Recognizing Human-Object Interactions HS Fang, J Cao, YW Tai, C Lu ECCV 2018, 2018 | 157 | 2018 |
| PaStaNet: Toward Human Activity Knowledge Engine YL Li, L Xu, X Liu, X Huang, Y Xu, S Wang, HS Fang, Z Ma, M Chen, C Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 155 | 2020 |
| Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer HS Fang, G Lu, X Fang, J Xie, YW Tai, C Lu CVPR 2018, 2018 | 136 | 2018 |
| RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images M Gou, HS Fang, Z Zhu, S Xu, C Wang, C Lu The International Conference on Robotics and Automation (ICRA 2021), 2021 | 85 | 2021 |
| Open x-embodiment: Robotic learning datasets and rt-x models A Padalkar, A Pooley, A Jain, A Bewley, A Herzog, A Irpan, A Khazatsky, ... arXiv preprint arXiv:2310.08864, 2023 | 77 | 2023 |
| Hake: a knowledge engine foundation for human activity understanding YL Li, X Liu, X Wu, Y Li, Z Qiu, L Xu, Y Xu, HS Fang, C Lu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 73* | 2022 |
| Cortical ensembles orchestrate social competition through hypothalamic outputs N Padilla-Coreano, K Batra, M Patarino, Z Chen, RR Rock, R Zhang, ... Nature 603 (7902), 667-671, 2022 | 71 | 2022 |
| Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis J Sun, Y Li, HS Fang, C Lu Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021 | 53 | 2021 |
| Graspness discovery in clutters for fast and accurate grasp detection C Wang, HS Fang, M Gou, H Fang, J Gao, C Lu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 51 | 2021 |
| DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection HS Fang, Y Xie, D Shao, C Lu AAAI Conference on Artificial Intelligence (AAAI-21), 2020 | 51 | 2020 |
| SuctionNet-1Billion: A Large-Scale Benchmark for Suction Grasping H Cao, HS Fang, W Liu, C Lu IEEE Robotics and Automation Letters, 2021 | 50 | 2021 |
| Transcg: A large-scale real-world dataset for transparent object depth completion and a grasping baseline H Fang, HS Fang, S Xu, C Lu IEEE Robotics and Automation Letters 7 (3), 7383-7390, 2022 | 49 | 2022 |
