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ORCIDJiageng Mao
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2020 – today
- 2025
[c14]Jiageng Mao, Siheng Zhao, Siqi Song, Chuye Hong, Tianheng Shi, Junjie Ye, Mingtong Zhang, Haoran Geng, Jitendra Malik, Vitor Guizilini, Yue Wang:
Universal Humanoid Robot Pose Learning from Internet Human Videos. Humanoids 2025: 1-8- [c13]Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang:
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. ICLR 2025 - [c12]Jiageng Mao, Boyi Li, Boris Ivanovic, Yuxiao Chen, Yan Wang, Yurong You, Chaowei Xiao, Danfei Xu, Marco Pavone, Yue Wang:
DreamDrive: Generative 4D Scene Modeling from Street View Images. ICRA 2025: 367-374 - [i26]Jiageng Mao, Boyi Li, Boris Ivanovic, Yuxiao Chen, Yan Wang, Yurong You, Chaowei Xiao, Danfei Xu, Marco Pavone, Yue Wang:
DreamDrive: Generative 4D Scene Modeling from Street View Images. CoRR abs/2501.00601 (2025) - [i25]Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Guizilini, Yue Wang:
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding. CoRR abs/2501.16411 (2025) - [i24]Haoran Geng, Feishi Wang, Songlin Wei, Yuyang Li, Bangjun Wang, Boshi An, Charlie Tianyue Cheng, Haozhe Lou, Peihao Li, Yen-Jen Wang, Yutong Liang, Dylan Goetting, Chaoyi Xu, Haozhe Chen, Yuxi Qian, Yiran Geng, Jiageng Mao, Weikang Wan, Mingtong Zhang, Jiangran Lyu, Siheng Zhao, Jiazhao Zhang, Jialiang Zhang, Chengyang Zhao, Haoran Lu, Yufei Ding, Ran Gong, Yuran Wang, Yuxuan Kuang, Ruihai Wu, Baoxiong Jia, Carlo Sferrazza, Hao Dong, Siyuan Huang, Yue Wang, Jitendra Malik, Pieter Abbeel:
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning. CoRR abs/2504.18904 (2025) - [i23]Enyu Zhao
, Vedant Raval, Hejia Zhang, Jiageng Mao, Zeyu Shangguan, Stefanos Nikolaidis, Yue Wang, Daniel Seita:
ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation. CoRR abs/2505.09698 (2025) - [i22]Emily Yue-Ting Jia, Jiageng Mao, Zhiyuan Gao, Yajie Zhao, Yue Wang:
Learning an Implicit Physics Model for Image-based Fluid Simulation. CoRR abs/2508.08254 (2025) - [i21]Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas J. Guibas, Sergey Zakharov, Vitor Guizilini, Yue Wang:
Robot Learning from Any Images. CoRR abs/2509.22970 (2025) - [i20]Zhenyu Zhao, Hongyi Jing, Xiawei Liu, Jiageng Mao, Abha Jha, Hanwen Yang, Rong Xue, Sergey Zakharor, Vitor Guizilini, Yue Wang:
Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation. CoRR abs/2510.08807 (2025) - [i19]Jiankun Zhong, Zitong Zhan, Quankai Gao, Ziyu Chen, Haozhe Lou, Jiageng Mao, Ulrich Neumann, Yue Wang:
InstantSfM: Fully Sparse and Parallel Structure-from-Motion. CoRR abs/2510.13310 (2025) - [i18]Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang:
ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation. CoRR abs/2511.01163 (2025) - [i17]Jiageng Mao, Sicheng He, Hao-Ning Wu, Yang You, Shuyang Sun, Zhicheng Wang, Yanan Bao, Huizhong Chen, Leonidas J. Guibas, Vitor Guizilini, Howard Zhou, Yue Wang:
Robot Learning from a Physical World Model. CoRR abs/2511.07416 (2025) - [i16]Rong Xue, Jiageng Mao, Mingtong Zhang, Yue Wang:
SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment. CoRR abs/2511.08583 (2025) - [i15]Zhiyuan Gao, Jiageng Mao, Hong-Xing Yu, Haozhe Lou, Emily Yue-Ting Jia, Jernej Barbic, Jiajun Wu, Yue Wang:
Seeing the Wind from a Falling Leaf. CoRR abs/2512.00762 (2025) - 2024
- [c11]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. CoRL 2024: 547-565 - [c10]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 - [c9]Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun:
DeTra: A Unified Model for Object Detection and Trajectory Forecasting. ECCV (88) 2024: 326-342 - [i14]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) - [i13]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) - [i12]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) - [i11]Jiageng Mao, Siheng Zhao, Siqi Song, Tianheng Shi, Junjie Ye, Mingtong Zhang, Haoran Geng, Jitendra Malik, Vitor Guizilini, Yue Wang:
Learning from Massive Human Videos for Universal Humanoid Pose Control. CoRR abs/2412.14172 (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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