Mao, Jiageng

19 publications

ICLR 2026 D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping Haozhe Lou, Mingtong Zhang, Haoran Geng, Hanyang Zhou, Sicheng He, Zhiyuan Gao, Siheng Zhao, Jiageng Mao, Pieter Abbeel, Jitendra Malik, Daniel Seita, Yue Wang

ICLR 2026 ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang

ICCV 2025 Learning an Implicit Physics Model for Image-Based Fluid Simulation Emily Yue-Ting Jia, Jiageng Mao, Zhiyuan Gao, Yajie Zhao, Yue Wang

CoRL 2025 ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation Enyu Zhao, Vedant Raval, Hejia Zhang, Jiageng Mao, Zeyu Shangguan, Stefanos Nikolaidis, Yue Wang, Daniel Seita

ICLR 2025 PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang

ICLRW 2025 PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang

ICLRW 2025 RecFlow Policy: Fast and Accurate Visuomotor Policy Learning via Rectified Action Flow Rong Xue, Jiageng Mao, Mingtong Zhang, Yue Wang

CoRL 2025 Robot Learning from Any Images Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas Guibas, Sergey Zakharov, Vitor Campagnolo Guizilini, Yue Wang

NeurIPS 2025 Seeing the Wind from a Falling Leaf Zhiyuan Gao, Jiageng Mao, Hong-Xing Yu, Haozhe Lou, Emily Yue-ting Jia, Jernej Barbic, Jiajun Wu, Yue Wang

ECCV 2024 DeTra: A Unified Model for Object Detection and Trajectory Forecasting Sergio Casas, Ben T Agro, Jiageng Mao, Thomas Gilles, Alexander Y Cui, Enxu Li, Raquel Urtasun

CVPR 2024 Driving Everywhere with Large Language Model Policy Adaptation Boyi Li, Yue Wang, Jiageng Mao, Boris Ivanovic, Sushant Veer, Karen Leung, Marco Pavone

CoRL 2024 RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas Guibas, He Wang, Yue Wang

CVPR 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

NeurIPSW 2023 GPT-Driver: Learning to Drive with GPT Jiageng Mao, Yuxi Qian, Junjie Ye, Hang Zhao, Yue Wang

CVPR 2022 Point2Seq: Detecting 3D Objects as Sequences Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang

ICCV 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

ICCV 2021 Voxel Transformer for 3D Object Detection Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

ECCV 2020 GRNet: Gridding Residual Network for Dense Point Cloud Completion Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun

ICCV 2019 Interpolated Convolutional Networks for 3D Point Cloud Understanding Jiageng Mao, Xiaogang Wang, Hongsheng Li