| FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection T Wang, X Zhu, J Pang, D Lin IEEE/CVF International Conference on Computer Vision (ICCV) Workshops Best Paper, 2021 | 700 | 2021 |
| Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation X Zhu*, H Zhou*, T Wang, F Hong, Y Ma, W Li, H Li, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Oral, 2020 | 656 | 2020 |
| MMDetection3D: OpenMMLab Next-Generation Platform for General 3D Object Detection M Contributors https://github.com/open-mmlab/mmdetection3d, 2020 | 381 | 2020 |
| Probabilistic and Geometric Depth: Detecting Objects in Perspective T Wang, X Zhu, J Pang, D Lin Conference on Robot Learning (CoRL), 2021 | 309 | 2021 |
| Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion T Wu, L Pan, J Zhang, T Wang, Z Liu, D Lin Conference on Neural Information Processing Systems (NeurIPS), 2021 | 221* | 2021 |
| MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection R Zhang, H Qiu, T Wang, Z Guo, Z Cui, P Gao, Y Qiao, H Li IEEE/CVF International Conference on Computer Vision (ICCV), 2022 | 172 | 2022 |
| Scene as Occupancy C Sima*, W Tong*, T Wang, L Chen, S Wu, H Deng, Y Gu, L Lu, P Luo, ... IEEE/CVF International Conference on Computer Vision (ICCV), 2023 | 153* | 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 (TPAMI), 2022 | 146 | 2022 |
| PointLLM: Empowering Large Language Models to Understand Point Clouds R Xu, X Wang, T Wang, Y Chen, J Pang, D Lin European Conference on Computer Vision (ECCV) Best Paper Candidate, 2023 | 140 | 2023 |
| SSN: Shape Signature Networks for Multi-class Object Detection from Point Cloud X Zhu, Y Ma, T Wang, Y Xu, J Shi, D Lin European Conference on Computer Vision (ECCV), 2020 | 138 | 2020 |
| Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception X Zhu, H Zhou, T Wang, F Hong, W Li, Y Ma, H Li, R Yang, D Lin IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 119 | 2021 |
| Monocular 3D Object Detection with Depth from Motion T Wang, J Pang, D Lin European Conference on Computer Vision (ECCV) Oral, 2022 | 71 | 2022 |
| Unified Human-Scene Interaction via Prompted Chain-of-Contacts Z Xiao, T Wang, J Wang, J Cao, W Zhang, B Dai, D Lin, J Pang International Conference on Learning Representations (ICLR) Spotlight, 2023 | 62 | 2023 |
| EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI T Wang, X Mao, C Zhu, R Xu, R Lyu, P Li, X Chen, W Zhang, K Chen, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 56 | 2023 |
| Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers H Huang, Y Chen, Z Wang, R Huang, R Xu, T Wang, L Liu, X Cheng, ... Conference on Neural Information Processing Systems (NeurIPS), 2023 | 44 | 2023 |
| MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training R Xu, T Wang, W Zhang, R Chen, J Cao, J Pang, D Lin IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 38 | 2023 |
| Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds T Wang, X Zhu, D Lin Conference on Robot Learning (CoRL), 2020 | 36 | 2020 |
| MV-FCOS3D++: Multi-View Camera-only 4D Object Detection with Pretrained Monocular Backbones T Wang, Q Lian, C Zhu, X Zhu, W Zhang Technical Report, 2022 | 28 | 2022 |
| SIDE: Center-Based Stereo 3D Detector with Structure-aware Instance Depth Estimation X Peng, X Zhu, T Wang, Y Ma IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 | 28 | 2021 |
| OctreeOcc: Efficient and Multi-granularity Occupancy Prediction Using Octree Queries Y Lu, X Zhu, T Wang, Y Ma Conference on Neural Information Processing Systems (NeurIPS), 2023 | 26 | 2023 |
Dahua LinThe Chinese University of Hong KongEmail verificata su ie.cuhk.edu.hk
