| Voxel Transformer for 3D Object Detection J Mao, Y Xue, M Niu, H Bai, J Feng, X Liang, H Xu, C Xu International Conference on Computer Vision (ICCV), 2021 | 488 | 2021 |
| Grnet: Gridding Residual Network for Dense Point Cloud Completion H Xie, H Yao, S Zhou, J Mao, S Zhang, W Sun European Conference on Computer Vision (ECCV), 2020 | 408 | 2020 |
| One Million Scenes for Autonomous Driving: ONCE Dataset J Mao, M Niu, C Jiang, X Liang, Y Li, C Ye, W Zhang, Z Li, J Yu, C Xu, ... Neural Information Processing Systems (NeurIPS), 2021 | 299 | 2021 |
| OpenPCDet: An Open-Source Toolbox for 3D Object Detection from Point Clouds OD Team https://github.com/open-mmlab/OpenPCDet, 2020 | 284 | 2020 |
| Interpolated Convolutional Networks for 3D Point Cloud Understanding J Mao, X Wang, H Li International Conference on Computer Vision (ICCV), 2019 | 274 | 2019 |
| 3D Object Detection for Autonomous Driving: A Comprehensive Survey J Mao, S Shi, X Wang, H Li International Journal of Computer Vision (IJCV), 2023 | 217 | 2023 |
| GPT-Driver: Learning to Drive with GPT J Mao, Y Qian, J Ye, H Zhao, Y Wang Neural Information Processing System (NeurIPS) workshop, 2023 | 207 | 2023 |
| Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection J Mao, M Niu, H Bai, X Liang, H Xu, C Xu International Conference on Computer Vision (ICCV), 2021 | 185 | 2021 |
| Soda10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving J Han, X Liang, H Xu, K Chen, L Hong, J Mao, C Ye, W Zhang, Z Li, ... Neural Information Processing Systems (NeurIPS), 2021 | 116* | 2021 |
| 3D Object Detection for Autonomous Driving: A Review and New Outlooks J Mao, S Shi, X Wang, H Li arXiv preprint arXiv:2206.09474 1, 2022 | 107 | 2022 |
| CLIP: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data Y Zeng, C Jiang, J Mao, J Han, C Ye, Q Huang, DY Yeung, Z Yang, ... Computer Vision and Pattern Recognition (CVPR), 2023 | 89 | 2023 |
| A Language Agent for Autonomous Driving J Mao, J Ye, Y Qian, M Pavone, Y Wang Conference on Language Modeling (COLM), 2023 | 72 | 2023 |
| Crowd Counting: Network Design, Loss Function and Supervisory Signal H Bai, J Mao, SHG Chan Neurocomputing, 2022 | 38* | 2022 |
| Driving Everywhere with Large Language Model Policy Adaptation B Li, Y Wang, J Mao, B Ivanovic, S Veer, K Leung, M Pavone Computer Vision and Pattern Recognition (CVPR), 2024 | 19 | 2024 |
| Restoring the Sense of Bladder Fullness for Spinal Cord Injury Patients DD Fong, X Yu, J Mao, M Saffarpour, P Gupta, R Abueshsheikh, ... Smart Health, 2018 | 19 | 2018 |
| Point2Seq: Detecting 3D Objects as Sequences Y Xue*, J Mao*, M Niu, H Xu, MB Mi, W Zhang, X Wang, X Wang Computer Vision and Pattern Recognition (CVPR), 2022 | 18 | 2022 |
| RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation Y Kuang, J Ye, H Geng, J Mao, C Deng, L Guibas, H Wang, Y Wang Conference on Robot Learning (CoRL), 2024 | 11 | 2024 |
| DeTra: A Unified Model for Object Detection and Trajectory Forecasting S Casas*, B Agro*, J Mao*, T Gilles, A Cui, T Li, R Urtasun European Conference on Computer Vision (ECCV), 2024 | 3 | 2024 |
| PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding W Chow, J Mao, B Li, D Seita, V Guizilini, Y Wang arXiv preprint arXiv:2501.16411, 2025 | | 2025 |
| DreamDrive: Generative 4D Scene Modeling from Street View Images J Mao, B Li, B Ivanovic, Y Chen, Y Wang, Y You, C Xiao, D Xu, M Pavone, ... arXiv preprint arXiv:2501.00601, 2024 | | 2024 |