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2020 – today
- 2024
[c9]Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone:
Driving Everywhere with Large Language Model Policy Adaptation. CVPR 2024: 14948-14957- [i13]Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone:
Driving Everywhere with Large Language Model Policy Adaptation. CoRR abs/2402.05932 (2024) - [i12]Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun:
DeTra: A Unified Model for Object Detection and Trajectory Forecasting. CoRR abs/2406.04426 (2024) - [i11]Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas J. Guibas, He Wang, Yue Wang:
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation. CoRR abs/2407.04689 (2024) - 2023
- [j2]Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
:
3D Object Detection for Autonomous Driving: A Comprehensive Survey. Int. J. Comput. Vis. 131(8): 1909-1963 (2023) - [c8]Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu:
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CVPR 2023: 15244-15253 - [i10]Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu:
CLIP2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CoRR abs/2303.12417 (2023) - [i9]Jiageng Mao, Yuxi Qian, Hang Zhao, Yue Wang:
GPT-Driver: Learning to Drive with GPT. CoRR abs/2310.01415 (2023) - [i8]Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone, Yue Wang:
A Language Agent for Autonomous Driving. CoRR abs/2311.10813 (2023) - 2022
- [j1]Haoyue Bai, Jiageng Mao, S.-H. Gary Chan:
A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal. Neurocomputing 508: 1-18 (2022) - [c7]Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang:
Point2Seq: Detecting 3D Objects as Sequences. CVPR 2022: 8511-8520 - [i7]Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang:
Point2Seq: Detecting 3D Objects as Sequences. CoRR abs/2203.13394 (2022) - [i6]Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li:
3D Object Detection for Autonomous Driving: A Review and New Outlooks. CoRR abs/2206.09474 (2022) - 2021
- [c6]Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu:
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. ICCV 2021: 2703-2712 - [c5]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. ICCV 2021: 3144-3153 - [c4]Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu:
SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving. NeurIPS Datasets and Benchmarks 2021 - [c3]Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Jingheng Chen, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Chunjing Xu, Hang Xu:
One Million Scenes for Autonomous Driving: ONCE Dataset. NeurIPS Datasets and Benchmarks 2021 - [i5]Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu:
One Million Scenes for Autonomous Driving: ONCE Dataset. CoRR abs/2106.11037 (2021) - [i4]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. CoRR abs/2109.02497 (2021) - [i3]Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu:
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. CoRR abs/2109.02499 (2021) - 2020
- [c2]Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun:
GRNet: Gridding Residual Network for Dense Point Cloud Completion. ECCV (9) 2020: 365-381 - [i2]Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun:
GRNet: Gridding Residual Network for Dense Point Cloud Completion. CoRR abs/2006.03761 (2020)
2010 – 2019
- 2019
- [c1]Jiageng Mao, Xiaogang Wang, Hongsheng Li:
Interpolated Convolutional Networks for 3D Point Cloud Understanding. ICCV 2019: 1578-1587 - [i1]Jiageng Mao, Xiaogang Wang, Hongsheng Li:
Interpolated Convolutional Networks for 3D Point Cloud Understanding. CoRR abs/1908.04512 (2019)
Coauthor Index
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