Ye, Mao

55 publications

CVPR 2025 Bayesian Test-Time Adaptation for Vision-Language Models Lihua Zhou, Mao Ye, Shuaifeng Li, Nianxin Li, Xiatian Zhu, Lei Deng, Hongbin Liu, Zhen Lei
CVPR 2025 Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data Wenxin Su, Song Tang, Xiaofeng Liu, Xiaojing Yi, Mao Ye, Chunxiao Zu, Jiahao Li, Xiatian Zhu
AAAI 2025 FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments Aoru Xue, Yiming Ren, Zining Song, Mao Ye, Xinge Zhu, Yuexin Ma
ICML 2025 Generative Data Mining with Longtail-Guided Diffusion David S Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M Wolff, Siddhartha Srinivasa
ICML 2025 High Dynamic Range Novel View Synthesis with Single Exposure Kaixuan Zhang, Hu Wang, Minxian Li, Mingwu Ren, Mao Ye, Xiatian Zhu
ICLR 2025 Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye
AAAI 2025 Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection Shengjia Chen, Luping Ji, Weiwei Duan, Shuang Peng, Mao Ye
NeurIPS 2025 Multimodal Causal Reasoning for UAV Object Detection Nianxin Li, Mao Ye, Lihua Zhou, Shuaifeng Li, Song Tang, Luping Ji, Ce Zhu
CVPR 2025 OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation Hui Li, Mingwang Xu, Yun Zhan, Shan Mu, Jiaye Li, Kaihui Cheng, Yuxuan Chen, Tan Chen, Mao Ye, Jingdong Wang, Siyu Zhu
ICLR 2025 Proxy Denoising for Source-Free Domain Adaptation Song Tang, Wenxin Su, Yan Gan, Mao Ye, Jianwei Dr. Zhang, Xiatian Zhu
CVPR 2025 Pseudo Visible Feature Fine-Grained Fusion for Thermal Object Detection Ting Li, Mao Ye, Tianwen Wu, Nianxin Li, Shuaifeng Li, Song Tang, Luping Ji
AAAI 2025 Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification Jiaxiang Gou, Luping Ji, Pei Liu, Mao Ye
AAAI 2025 Self-Prompting Analogical Reasoning for UAV Object Detection Nianxin Li, Mao Ye, Lihua Zhou, Song Tang, Yan Gan, Zizhuo Liang, Xiatian Zhu
NeurIPS 2024 Cloud Object Detector Adaptation by Integrating Different Source Knowledge Shuaifeng Li, Mao Ye, Lihua Zhou, Nianxin Li, Siying Xiao, Song Tang, Xiatian Zhu
CVPR 2024 Source-Free Domain Adaptation with Frozen Multimodal Foundation Model Song Tang, Wenxin Su, Mao Ye, Xiatian Zhu
ICML 2023 Bit Allocation Using Optimization Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang
ICCV 2023 Efficient Transformer-Based 3D Object Detection with Dynamic Token Halting Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu
ICCV 2023 Homeomorphism Alignment for Unsupervised Domain Adaptation Lihua Zhou, Mao Ye, Xiatian Zhu, Siying Xiao, Xu-Qian Fan, Ferrante Neri
IJCAI 2023 Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation Qichen He, Siying Xiao, Mao Ye, Xiatian Zhu, Ferrante Neri, Dongde Hou
ICLR 2023 Learning Diffusion Bridges on Constrained Domains Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
ECCVW 2022 AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng
NeurIPS 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Bo Liu, Mao Ye, Stephen Wright, Peter Stone, Qiang Liu
NeurIPSW 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach Mao Ye, Bo Liu, Stephen Wright, Peter Stone, Qiang Liu
ICML 2022 Centroid Approximation for Bootstrap: Improving Particle Quality at Inference Mao Ye, Qiang Liu
NeurIPS 2022 Diffusion-Based Molecule Generation with Informative Prior Bridges Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
NeurIPSW 2022 Diffusion-Based Molecule Generation with Informative Prior Bridges Chengyue Gong, Lemeng Wu, Xingchao Liu, Mao Ye, Qiang Liu
NeurIPS 2022 First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data Mao Ye, Lemeng Wu, Qiang Liu
NeurIPSW 2022 First Hitting Diffusion Models for Generating Manifold, Graph and Categorical Data Mao Ye, Lemeng Wu, Qiang Liu
UAI 2022 Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
IJCAI 2022 KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Ce Zhu, Xue Li
NeurIPSW 2022 Let Us Build Bridges: Understanding and Extending Diffusion Generative Models Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu
NeurIPS 2022 MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification Zhenbin Wang, Mao Ye, Xiatian Zhu, Liuhan Peng, Liang Tian, Yingying Zhu
CVPRW 2022 NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon
UAI 2022 Pareto Navigation Gradient Descent: A First-Order Algorithm for Optimization in Pareto Set Mao Ye, Qiang Liu
CVPR 2022 Source-Free Object Detection by Learning to Overlook Domain Style Shuaifeng Li, Mao Ye, Xiatian Zhu, Lihua Zhou, Lin Xiong
NeurIPS 2021 Argmax Centroid Chengyue Gong, Mao Ye, Qiang Liu
CVPR 2021 MaxUp: Lightweight Adversarial Training with Data Augmentation Improves Neural Network Training Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu
AAAI 2021 Post-Training Quantization with Multiple Points: Mixed Precision Without Mixed Precision Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu
ICLR 2021 VCNet and Functional Targeted Regularization for Learning Causal Effects of Continuous Treatments Lizhen Nie, Mao Ye, Qiang Liu, Dan Nicolae
NeurIPS 2020 Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu
CVPRW 2020 Color-Wise Attention Network for Low-Light Image Enhancement Yousef Atoum, Mao Ye, Liu Ren, Ying Tai, Xiaoming Liu
ICML 2020 Go Wide, Then Narrow: Efficient Training of Deep Thin Networks Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans
ICML 2020 Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu
NeurIPS 2020 Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets Is Enough Mao Ye, Lemeng Wu, Qiang Liu
NeurIPS 2020 Stein Self-Repulsive Dynamics: Benefits from past Samples Mao Ye, Tongzheng Ren, Qiang Liu
ICML 2018 Variable Selection via Penalized Neural Network: A Drop-Out-One Loss Approach Mao Ye, Yan Sun
ICCV 2017 Pose-Invariant Face Alignment with a Single CNN Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren
CVPR 2015 3D Reconstruction in the Presence of Glasses by Acoustic and Stereo Fusion Mao Ye, Yu Zhang, Ruigang Yang, Dinesh Manocha
CVPR 2014 Data-Driven Flower Petal Modeling with Botany Priors Chenxi Zhang, Mao Ye, Bo Fu, Ruigang Yang
CVPR 2014 Quality Dynamic Human Body Modeling Using a Single Low-Cost Depth Camera Qing Zhang, Bo Fu, Mao Ye, Ruigang Yang
CVPR 2014 Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera Mao Ye, Ruigang Yang
CVPR 2013 Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction Mao Ye, Cha Zhang, Ruigang Yang
CVPR 2012 Edge-Preserving Photometric Stereo via Depth Fusion Qing Zhang, Mao Ye, Ruigang Yang, Yasuyuki Matsushita, Bennett Wilburn, Huimin Yu
ICCV 2011 Accurate 3D Pose Estimation from a Single Depth Image Mao Ye, Xianwang Wang, Ruigang Yang, Liu Ren, Marc Pollefeys
CVPRW 2009 Color Calibration of Multi-Projector Displays Through Automatic Optimization of Hardware Settings R. Matt Steele, Mao Ye, Ruigang Yang