| Learning Lightweight Lane Detection CNNs by Self Attention Distillation Y Hou, Z Ma, C Liu, CC Loy IEEE International Conference on Computer Vision, 1013-1021, 2019 | 769 | 2019 |
| MMDetection3D: OpenMMLab Next-Generation Platform for General 3D Object Detection M Contributors | 359 | 2020 |
| A Novel DDPG Method with Prioritized Experience Replay Y Hou, L Liu, Q Wei, X Xu, C Chen IEEE International Conference on Systems, Man, and Cybernetics (SMC), 316-321, 2017 | 274 | 2017 |
| Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation Y Hou, X Zhu, Y Ma, CC Loy, Y Li IEEE Conference on Computer Vision and Pattern Recognition, 8479-8488, 2022 | 197 | 2022 |
| CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP R Chen, Y Liu, L Kong, X Zhu, Y Ma, Y Li, Y Hou, Y Qiao, W Wang IEEE Conference on Computer Vision and Pattern Recognition, 7020-7030, 2023 | 158 | 2023 |
| Inter-Region Affinity Distillation for Road Marking Segmentation Y Hou, Z Ma, C Liu, TW Hui, CC Loy IEEE Conference on Computer Vision and Pattern Recognition, 12486-12495, 2020 | 152 | 2020 |
| Rethinking Range View Representation for LiDAR Segmentation L Kong, Y Liu, R Chen, Y Ma, X Zhu, Y Li, Y Hou, Y Qiao, Z Liu IEEE International Conference on Computer Vision, 2023 | 151 | 2023 |
| Vision-Centric BEV Perception: A Survey Y Ma, T Wang, X Bai, H Yang, Y Hou, Y Wang, Y Qiao, R Yang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 1-20, 2024 | 134 | 2024 |
| LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion X Li, T Ma, Y Hou, B Shi, Y Yang, Y Liu, X Wu, Q Chen, Y Li, Y Qiao, L He IEEE Conference on Computer Vision and Pattern Recognition, 17524-17534, 2023 | 114 | 2023 |
| Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks Y Hou, Z Ma, C Liu, CC Loy AAAI Conference on Artificial Intelligence 33 (01), 8433-8440, 2019 | 75 | 2019 |
| SCPNet: Semantic Scene Completion on Point Cloud Z Xia, Y Liu, X Li, X Zhu, Y Ma, Y Li, Y Hou, Y Qiao IEEE Conference on Computer Vision and Pattern Recognition, 17642-17651, 2023 | 73 | 2023 |
| Homogeneous Multi-Modal Feature Fusion and Interaction for 3D Object Detection X Li, B Shi, Y Hou, X Wu, T Ma, Y Li, L He European Conference on Computer Vision, 691-707, 2022 | 57 | 2022 |
| UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase Y Liu, R Chen, X Li, L Kong, Y Yang, Z Xia, Y Bai, X Zhu, Y Ma, Y Li, ... IEEE International Conference on Computer Vision, 2023 | 50* | 2023 |
| STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes P Cong, X Zhu, F Qiao, Y Ren, X Peng, Y Hou, L Xu, R Yang, D Manocha, ... IEEE Conference on Computer Vision and Pattern Recognition, 19608-19617, 2022 | 48 | 2022 |
| Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image Classification X Xing, Y Hou, H Li, Y Yuan, H Li, MQH Meng International Conference on Medical Image Computing and Computer Assisted …, 2021 | 42 | 2021 |
| Discrepancy and Gradient-Guided Multi-Modal Knowledge Distillation for Pathological Glioma Grading X Xing, Z Chen, M Zhu, Y Hou, Z Gao, Y Yuan International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 30 | 2022 |
| Frozen CLIP Transformer Is An Efficient Point Cloud Encoder X Huang, Z Huang, S Li, W Qu, T He, Y Hou, Y Zuo, W Ouyang AAAI Conference on Artificial Intelligence 38 (3), 2382-2390, 2024 | 28* | 2024 |
| Agnostic Lane Detection Y Hou arXiv preprint arXiv:1905.03704, 2019 | 27 | 2019 |
| See More and Know More: Zero-shot Point Cloud Segmentation via Multi-Modal Visual Data Y Lu, Q Jiang, R Chen, Y Hou, X Zhu, Y Ma IEEE International Conference on Computer Vision, 2023 | 26 | 2023 |
| MMDetection3D: OpenMMLab Next-Generation Platform for General 3D Object Detection M Contributors | 25 | 2022 |
Xinge Zhuthe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk