Jiageng Mao

According to our database, Jiageng Mao authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning from Massive Human Videos for Universal Humanoid Pose Control.

Jiageng Mao, Siheng Zhao, Siqi Song, Tianheng Shi, Junjie Ye, Mingtong Zhang, Haoran Geng, Jitendra Malik, Vitor Guizilini, Yue Wang

CoRR, 2024

RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation.

Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas J. Guibas, He Wang, Yue Wang

CoRR, 2024

DeTra: A Unified Model for Object Detection and Trajectory Forecasting.

Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun

Proceedings of the Computer Vision - ECCV 2024, 2024

Driving Everywhere with Large Language Model Policy Adaptation.

Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

3D Object Detection for Autonomous Driving: A Comprehensive Survey.

Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li

Int. J. Comput. Vis., August, 2023

A Language Agent for Autonomous Driving.

Jiageng Mao, Junjie Ye, Yuxi Qian, Marco Pavone, Yue Wang

CoRR, 2023

GPT-Driver: Learning to Drive with GPT.

Jiageng Mao, Yuxi Qian, Hang Zhao, Yue Wang

CoRR, 2023

CLIP²: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data.

Yihan Zeng, Chenhan Jiang, Jiageng Mao, Jianhua Han, Chaoqiang Ye, Qingqiu Huang, Dit-Yan Yeung, Zhen Yang, Xiaodan Liang, Hang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal.

Haoyue Bai, Jiageng Mao, S.-H. Gary Chan

Neurocomputing, 2022

3D Object Detection for Autonomous Driving: A Review and New Outlooks.

Jiageng Mao, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li

CoRR, 2022

Point2Seq: Detecting 3D Objects as Sequences.

Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

Jiageng Mao, Minzhe Niu, Chenhan Jiang, Hanxue Liang, Xiaodan Liang, Yamin Li, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Jie Yu, Hang Xu, Chunjing Xu

CoRR, 2021

One Million Scenes for Autonomous Driving: ONCE Dataset.

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

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SODA10M: A Large-Scale 2D Self/Semi-Supervised Object Detection Dataset for Autonomous Driving.

Jianhua Han, Xiwen Liang, Hang Xu, Kai Chen, Lanqing Hong, Jiageng Mao, Chaoqiang Ye, Wei Zhang, Zhenguo Li, Xiaodan Liang, Chunjing Xu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Voxel Transformer for 3D Object Detection.

Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection.

Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

GRNet: Gridding Residual Network for Dense Point Cloud Completion.

Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Interpolated Convolutional Networks for 3D Point Cloud Understanding.

Jiageng Mao, Xiaogang Wang, Hongsheng Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019