Jiageng Mao

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Topics

Pose Normalization

Object Detection

Autonomous Driving

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone
Driving Everywhere with Large Language Model Policy Adaptation. CoRR (2024)
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 (2024)
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 (2024)
Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
3D Object Detection for Autonomous Driving: A Comprehensive Survey. Int. J. Comput. Vis. 131 (8) (2023)
Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu
: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CVPR (2023)
Jiageng Mao, Yuxi Qian, Hang Zhao, Yue Wang
GPT-Driver: Learning to Drive with GPT. CoRR (2023)
Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu
: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. CoRR (2023)
Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone, Yue Wang
A Language Agent for Autonomous Driving. CoRR (2023)
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 (2022)
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)
Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang
Point2Seq: Detecting 3D Objects as Sequences. CoRR (2022)
Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
3D Object Detection for Autonomous Driving: A Review and New Outlooks. CoRR (2022)
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)
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 (2021)
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)
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)
Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu
Voxel Transformer for 3D Object Detection. CoRR (2021)
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 (2021)
Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu
Voxel Transformer for 3D Object Detection. ICCV (2021)
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun
GRNet: Gridding Residual Network for Dense Point Cloud Completion. CoRR (2020)
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun
GRNet: Gridding Residual Network for Dense Point Cloud Completion. ECCV (9) (2020)
Jiageng Mao, Xiaogang Wang, Hongsheng Li
Interpolated Convolutional Networks for 3D Point Cloud Understanding. ICCV (2019)
Jiageng Mao, Xiaogang Wang, Hongsheng Li
Interpolated Convolutional Networks for 3D Point Cloud Understanding. CoRR (2019)