| Vehicle re-identification with viewpoint-aware metric learning R Chu, Y Sun, Y Li, Z Liu, C Zhang, Y Wei Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 223 | 2019 |
| Mini-gemini: Mining the potential of multi-modality vision language models Y Li, Y Zhang, C Wang, Z Zhong, Y Chen, R Chu, S Liu, J Jia arXiv preprint arXiv:2403.18814, 2024 | 80 | 2024 |
| Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation Y Li, T Kong, R Chu, Y Li, P Wang, L Li IROS 2021, 2021 | 48 | 2021 |
| Scale-aware automatic augmentation for object detection Y Chen, Y Li, T Kong, L Qi, R Chu, L Li, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 48 | 2021 |
| DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation S Mo, E Xie, R Chu, L Yao, L Hong, M Nießner, Z Li Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 34 | 2023 |
| An intuitive end-to-end human-UAV interaction system for field exploration R Jiao, Z Wang, R Chu, M Dong, Y Rong, W Chou Frontiers in Neurorobotics 13, 117, 2020 | 27 | 2020 |
| Twist: Two-way inter-label self-training for semi-supervised 3d instance segmentation R Chu, X Ye, Z Liu, X Tan, X Qi, CW Fu, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 26 | 2022 |
| A survey of reasoning with foundation models J Sun, C Zheng, E Xie, Z Liu, R Chu, J Qiu, J Xu, M Ding, H Li, M Geng, ... arXiv preprint arXiv:2312.11562, 2023 | 23 | 2023 |
| Icm-3d: Instantiated category modeling for 3d instance segmentation R Chu, Y Chen, T Kong, L Qi, L Li IEEE Robotics and Automation Letters 7 (1), 57-64, 2021 | 22 | 2021 |
| Mask-Attention-Free Transformer for 3D Instance Segmentation X Lai, Y Yuan, R Chu, Y Chen, H Hu, J Jia Proceedings of the IEEE/CVF international conference on computer vision, 2023 | 19 | 2023 |
| DiffComplete: Diffusion-based Generative 3D Shape Completion R Chu, E Xie, S Mo, Z Li, M Nießner, CW Fu, J Jia Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 15 | 2023 |
| Co-actuation: a method for achieving high stiffness and low inertia for haptic devices R Chu, Y Zhang, H Zhang, W Xu, JH Ryu, D Wang IEEE transactions on haptics 13 (2), 312-324, 2019 | 14 | 2019 |
| TriVol: Point Cloud Rendering via Triple Volumes T Hu, X Xu, R Chu, J Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 13 | 2023 |
| Simultaneous semantic and collision learning for 6-dof grasp pose estimation. In 2021 IEEE Y Li, T Kong, R Chu, Y Li, P Wang, L Li RSJ International Conference on Intelligent Robots and Systems (IROS) 27, 2021 | 8 | 2021 |
| Drivecot: Integrating chain-of-thought reasoning with end-to-end driving T Wang, E Xie, R Chu, Z Li, P Luo arXiv preprint arXiv:2403.16996, 2024 | 5 | 2024 |
| Command-driven articulated object understanding and manipulation R Chu, Z Liu, X Ye, X Tan, X Qi, CW Fu, J Jia Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation M Huang, Y Long, X Deng, R Chu, J Xiong, X Liang, H Cheng, Q Lu, ... arXiv preprint arXiv:2403.08857, 2024 | 2 | 2024 |
| Point Cloud Segmentation Method and Apparatus, Device, and Storage Medium T Kong, R Chu, L LI US Patent App. 18/249,205, 2023 | | 2023 |
| Method for Training A Point Cloud Processing Model, Method for Performing Instance Segmentation on Point Cloud, and Electronic Device X YE, R Chu, H Sun US Patent App. 18/054,233, 2023 | | 2023 |
| Supplementary for” TriVol: Point Cloud Rendering via Triple Volumes” T Hu, X Xu, R Chu, J Jia | | |
Jiaya JiaChair Professor, HKUSTVerified email at cse.ust.hk
