| 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, 2024, 2023 | 286 | 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, ... Computer Vision and Pattern Recognition (CVPR), 2024, 2023 | 143 | 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, ... Neural Information Processing Systems (NeurIPS), 2024, 2024 | 104 | 2024 |
| RNIN-VIO: Robust Neural Inertial Navigation Aided Visual-Inertial Odometry in Challenging Scenes D Chen, N Wang, R Xu, W Xie, H Bao, G Zhang International Symposium on Mixed and Augmented Reality (ISMAR) Oral, 2021, 2021 | 81 | 2021 |
| Grounded 3D-LLM with Referent Tokens Y Chen, S Yang, H Huang, T Wang, R Xu, R Lyu, D Lin, J Pang arXiv preprint arXiv:2405.10370, 2024 | 79 | 2024 |
| Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator X Wang, R Xu, Z Cui, Z Wan, Y Zhang Neural Information Processing Systems (NeurIPS), 2023, 2023 | 60 | 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 Computer Vision and Pattern Recognition (CVPR), 2023, 2023 | 42 | 2023 |
| 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 Representations (ICLR), 2023, 2022 | 37 | 2022 |
| VLM-Grounder: A VLM Agent for Zero-Shot 3D Visual Grounding R Xu, Z Huang, T Wang, Y Chen, J Pang, D Lin Conference on Robot Learning (CoRL), 2024, 2024 | 34 | 2024 |
| MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence S Yang*, R Xu*, Y Xie, S Yang, M Li, J Lin, C Zhu, X Chen, H Duan, X Yue, ... arXiv preprint arXiv:2505.23764, 2025 | 32 | 2025 |
| MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations R Lyu, T Wang, J Lin, S Yang, X Mao, Y Chen, R Xu, H Huang, C Zhu, ... Neural Information Processing Systems (NeurIPS), 2024, 2024 | 28 | 2024 |
| Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models R Xu, W Wang, H Tang, X Chen, X Wang, FJ Chu, D Lin, M Feiszli, ... arXiv preprint arXiv:2505.17015, 2025 | 23 | 2025 |
| LIFE: Lighting Invariant Flow Estimation Z Huang, X Pan, R Xu, Y Xu, G Zhang, H Li arXiv preprint arXiv:2104.03097, 2021 | 13 | 2021 |
| Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control X Fu, X Wang, X Liu, J Bai, R Xu, P Wan, D Zhang, D Lin arXiv preprint arXiv:2506.01943, 2025 | 10 | 2025 |
| OST-Bench: Evaluating the Capabilities of MLLMs in Online Spatio-temporal Scene Understanding JL Lin, C Zhu, R Xu, X Mao, X Liu, T Wang, J Pang Neural Information Processing Systems (NeurIPS), 2025, 2025 | 4 | 2025 |
| PointLLM-V2: Empowering Large Language Models to Better Understand Point Clouds R Xu, S Yang, X Wang, T Wang, Y Chen, J Pang, D Lin IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025, 2025 | 3 | 2025 |
| VFlowOpt: A Token Pruning Framework for LMMs with Visual Information Flow-Guided Optimization S Yang, R Xu, C Cui, T Wang, D Lin, J Pang International Conference on Computer Vision (ICCV), 2025, 2025 | 1 | 2025 |
| MMSI-Video-Bench: A Holistic Benchmark for Video-Based Spatial Intelligence J Lin*, R Xu*, S Zhu, S Yang, P Cao, Y Ran, M Hu, C Zhu, Y Xie, Y Long, ... arXiv preprint arXiv:2512.10863, 2025 | | 2025 |
| GVLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning W Hu, J Lin, Y Long, Y Ran, L Jiang, Y Wang, C Zhu, R Xu, T Wang, ... arXiv preprint arXiv:2511.21688, 2025 | | 2025 |
| ChangingGrounding: 3D Visual Grounding in Changing Scenes M Hu, Z Huang, T Wang, J Pang, D Lin, N Zheng, R Xu arXiv preprint arXiv:2510.14965, 2025 | | 2025 |
Jiangmiao Pang (庞江淼)Shanghai AI LaboratoryVerified email at pjlab.org.cn
