| 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 | 463 | 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 | 381 | 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 | 276 | 2021 |
| Interpolated Convolutional Networks for 3D Point Cloud Understanding J Mao, X Wang, H Li International Conference on Computer Vision (ICCV), 2019 | 268 | 2019 |
| OpenPCDet: An Open-Source Toolbox for 3D Object Detection from Point Clouds OD Team https://github.com/open-mmlab/OpenPCDet, 2020 | 258 | 2020 |
| 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 | 175 | 2021 |
| GPT-Driver: Learning to Drive with GPT J Mao, Y Qian, J Ye, H Zhao, Y Wang Neural Information Processing System (NeurIPS) workshop, 2023 | 167 | 2023 |
| 3D Object Detection for Autonomous Driving: A Comprehensive Survey J Mao, S Shi, X Wang, H Li International Journal of Computer Vision (IJCV), 2023 | 167 | 2023 |
| 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 | 105* | 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 | 103 | 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 | 80 | 2023 |
| A Language Agent for Autonomous Driving J Mao, J Ye, Y Qian, M Pavone, Y Wang Conference on Language Modeling (COLM), 2023 | 58 | 2023 |
| Crowd Counting: Network Design, Loss Function and Supervisory Signal H Bai, J Mao, SHG Chan Neurocomputing, 2022 | 33* | 2022 |
| 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 |
| 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 | 17 | 2018 |
| 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 | 14 | 2024 |
| 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 arXiv preprint arXiv:2407.04689, 2024 | 6 | 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 | 1 | 2024 |
