| Cyclemlp: A mlp-like architecture for dense prediction S Chen, E Xie, C Ge, R Chen, D Liang, P Luo International Conference on Learning Representation (ICLR), 2022 | 310* | 2022 |
| Restoreformer: High-quality blind face restoration from undegraded key-value pairs Z Wang, J Zhang, R Chen, W Wang, P Luo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 119 | 2022 |
| Mmt-bench: A comprehensive multimodal benchmark for evaluating large vision-language models towards multitask agi K Ying, F Meng, J Wang, Z Li, H Lin, Y Yang, H Zhang, W Zhang, Y Lin, ... arXiv preprint arXiv:2404.16006, 2024 | 61 | 2024 |
| Rall: end-to-end radar localization on lidar map using differentiable measurement model H Yin, R Chen, Y Wang, R Xiong IEEE Transactions on Intelligent Transportation Systems 23 (7), 6737-6750, 2021 | 52 | 2021 |
| 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 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 2023 |
| Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation H Xu, Z Duan, Y Wang, J Feng, R Chen, Q Zhang, Z Xu Neurocomputing 439, 348-362, 2021 | 34 | 2021 |
| CO^ 3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving R Chen, Y Mu, R Xu, W Shao, C Jiang, H Xu, Z Li, P Luo International Conference on Learning Representation (ICLR), 2023 | 27 | 2023 |
| Deep samplable observation model for global localization and kidnapping R Chen, H Yin, Y Jiao, G Dissanayake, Y Wang, R Xiong IEEE Robotics and Automation Letters 6 (2), 2296-2303, 2021 | 22 | 2021 |
| Robocodex: Multimodal code generation for robotic behavior synthesis Y Mu, J Chen, Q Zhang, S Chen, Q Yu, C Ge, R Chen, Z Liang, M Hu, ... arXiv preprint arXiv:2402.16117, 2024 | 13 | 2024 |
| Ctrlformer: Learning transferable state representation for visual control via transformer Y Mu, S Chen, M Ding, J Chen, R Chen, P Luo Proceedings of the 39th International Conference on Machine Learning, 2022 | 13 | 2022 |
| SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving X Yan, R Chen, B Zhang, J Yuan, X Cai, B Shi, W Shao, J Yan, P Luo, ... arXiv preprint arXiv:2309.10527, 2023 | 9 | 2023 |
| CoSimGNN: towards large-scale graph similarity computation H Xu, R Chen, Y Wang, Z Duan, J Feng arXiv preprint arXiv:2005.07115, 2020 | 5 | 2020 |
| Position: Towards implicit prompt for text-to-image models Y Yang, Y Lin, H Liu, W Shao, R Chen, H Shang, Y Wang, Y Qiao, ... arXiv preprint arXiv:2403.02118, 2024 | 3 | 2024 |
| CurriculumLoc: Enhancing Cross-Domain Geolocalization through Multi-Stage Refinement B Hu, L Chen, R Chen, S Bu, P Han, H Li IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| SPOT: Scalable 3D Pre-training via Occupancy Prediction for Learning Transferable 3D Representations X Yan, R Chen, B Zhang, H Ye, R Xia, J Yuan, H Zhou, X Cai, B Shi, ... arXiv preprint arXiv:2309.10527, 2023 | 1 | 2023 |
| Failure-aware Policy Learning for Self-assessable Robotics Tasks K Xu, R Chen, S Zhao, Z Li, H Yu, C Chen, Y Wang, R Xiong IEEE International Conference on Robotics and Automation (ICRA), 2023 | 1 | 2023 |
| CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning R Chen, H Zhang, A Ravichandran, W Shao, A Wong, P Luo arXiv preprint arXiv:2412.03059, 2024 | | 2024 |
| TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception R Chen, H Park, B Zhang, W Shao, P Luo, A Wong arXiv preprint arXiv:2412.03054, 2024 | | 2024 |
| Towards Implicit Prompt For Text-To-Image Models Y Yang, H Liu, W Shao, R Chen, H Shang, Y Wang, Y Qiao, K Zhang, ... CoRR, 2024 | | 2024 |
Ping Luo (羅平)Associate Professor, The University of Hong Kong; MMLAB@HKUOverená e-mailová adresa na: hku.hk
