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
492 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
406 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
308 2021 OpenPCDet: An Open-Source Toolbox for 3D Object Detection from Point Clouds OD Team
https://github.com/open-mmlab/OpenPCDet, 2020
299 2020 Interpolated Convolutional Networks for 3D Point Cloud Understanding J Mao, X Wang, H Li
International Conference on Computer Vision (ICCV), 2019
272 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
225 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
216 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
190 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
113 * 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
109 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
91 2023 A Language Agent for Autonomous Driving J Mao, J Ye, Y Qian, M Pavone, Y Wang
Conference on Language Modeling (COLM), 2023
81 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
23 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
13 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
2 2025 Learning from Massive Human Videos for Universal Humanoid Pose Control J Mao, S Zhao, S Song, T Shi, J Ye, M Zhang, H Geng, J Malik, V Guizilini, ...
arXiv preprint arXiv:2412.14172, 2024
2 2024