Xu, Min

43 publications

CVPR 2025 BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment Runmin Jiang, Jackson Daggett, Shriya Pingulkar, Yizhou Zhao, Priyanshu Dhingra, Daniel Brown, Qifeng Wu, Xiangrui Zeng, Xingjian Li, Min Xu
WACV 2025 CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders Chentianye Xu, Xueying Zhan, Min Xu
CVPR 2025 DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences Xingjian Li, Qiming Zhao, Neelesh Bisht, Mostofa Rafid Uddin, Jin Yu Kim, Bryan Zhang, Min Xu
WACV 2025 Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection Jash Dalvi, Ali Dabouei, Gunjan Dhanuka, Min Xu
TMLR 2025 Genetic-Evolutionary Graph Neural Networks: A Paradigm for Improved Graph Representation Learning Haimin Zhang, Min Xu
WACV 2025 J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume Xiwei Liu, Mohamad Kassab, Min Xu, Qirong Ho
CVPRW 2025 Multimodal Generalized Category Discovery Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu
AAAI 2025 OLMD: Orientation-Aware Long-Term Motion Decoupling for Continuous Sign Language Recognition Yiheng Yu, Sheng Liu, Yuan Feng, Min Xu, Zhelun Jin, Xuhua Yang
ICCV 2025 Toward Material-Agnostic System Identification from Videos Yizhou Zhao, Haoyu Chen, Chunjiang Liu, Zhenyang Li, Charles Herrmann, Junhwa Hur, Yinxiao Li, Ming-Hsuan Yang, Bhiksha Raj, Min Xu
ICCV 2025 Unsupervised Identification of Protein Compositions and Conformations via Implicit Content-Transformation Disentanglement Mostofa Rafid Uddin, Jana Armouti, Min Xu
AAAI 2025 Vox-UDA: Voxel-Wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu
COLT 2024 Choosing the P in Lp Loss: Adaptive Rates for Symmetric Mean Estimation Yu-Chun Kao, Min Xu, Cun-Hui Zhang
ECCV 2024 Cross-Domain Learning for Video Anomaly Detection with Limited Supervision Yashika Jain, Ali Dabouei, Min Xu
AAAI 2024 Deep Active Learning with Noise Stability Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu
CVPRW 2024 Leveraging Generative Language Models for Weakly Supervised Sentence Component Analysis in Video-Language Joint Learning Zaber Ibn Abdul Hakim, Najibul Haque Sarker, Rahul Pratap Singh, Bishmoy Paul, Ali Dabouei, Min Xu
AAAI 2024 MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer Junde Wu, Wei Ji, Huazhu Fu, Min Xu, Yueming Jin, Yanwu Xu
NeurIPS 2024 Metric from Human: Zero-Shot Monocular Metric Depth Estimation via Test-Time Adaptation Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu
CVPR 2024 One-Prompt to Segment All Medical Images Junde Wu, Min Xu
CVPR 2024 RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection Ximiao Zhang, Min Xu, Xiuzhuang Zhou
CVPR 2024 Synergistic Global-Space Camera and Human Reconstruction from Videos Yizhou Zhao, Tuanfeng Yang Wang, Bhiksha Raj, Min Xu, Jimei Yang, Chun-Hao Paul Huang
CVPR 2023 BiCro: Noisy Correspondence Rectification for Multi-Modality Data via Bi-Directional Cross-Modal Similarity Consistency Shuo Yang, Zhaopan Xu, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu
ICLR 2023 Dataset Pruning: Reducing Training Data by Examining Generalization Influence Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li
ICCVW 2023 The First Visual Object Tracking Segmentation VOTS2023 Challenge Results Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo
AAAI 2022 Boosting Active Learning via Improving Test Performance Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
ICML 2022 Estimating Instance-Dependent Bayes-Label Transition Matrix Using a Deep Neural Network Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu
CVPR 2022 Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations Mostofa Rafid Uddin, Gregory Howe, Xiangrui Zeng, Min Xu
ICLR 2022 Objects in Semantic Topology Shuo Yang, Peize Sun, Yi Jiang, Xiaobo Xia, Ruiheng Zhang, Zehuan Yuan, Changhu Wang, Ping Luo, Min Xu
CVPR 2022 Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning Jiahao Xia, Weiwei Qu, Wenjian Huang, Jianguo Zhang, Xi Wang, Min Xu
ICCV 2021 End-to-End Robust Joint Unsupervised Image Alignment and Clustering Xiangrui Zeng, Gregory Howe, Min Xu
ICLR 2021 Free Lunch for Few-Shot Learning: Distribution Calibration Shuo Yang, Lu Liu, Min Xu
CVPR 2021 Single-View 3D Object Reconstruction from Shape Priors in Memory Shuo Yang, Min Xu, Haozhe Xie, Stuart Perry, Jiahao Xia
ICCV 2021 Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations Xiaoyu Zhu, Jeffrey Chen, Xiangrui Zeng, Junwei Liang, Chengqi Li, Sinuo Liu, Sima Behpour, Min Xu
ICCVW 2019 Squeezed Bilinear Pooling for Fine-Grained Visual Categorization Qiyu Liao, Dadong Wang, Hamish Holewa, Min Xu
AAAI 2018 Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu
IJCAI 2017 Dependency Exploitation: A Unified CNN-RNN Approach for Visual Emotion Recognition Xinge Zhu, Liang Li, Weigang Zhang, Tianrong Rao, Min Xu, Qingming Huang, Dong Xu
NeurIPS 2013 Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising Min Xu, Tao Qin, Tie-Yan Liu
ICCV 2013 Semantically-Based Human Scanpath Estimation with HMMs Huiying Liu, Dong Xu, Qingming Huang, Wen Li, Min Xu, Stephen Lin
ICML 2012 Conditional Sparse Coding and Grouped Multivariate Regression Min Xu, John D. Lafferty
ICML 2012 Efficient Active Algorithms for Hierarchical Clustering Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu, Aarti Singh
JMLR 2011 Forest Density Estimation Han Liu, Min Xu, Haijie Gu, Anupam Gupta, John Lafferty, Larry Wasserman
JMLR 2011 High-Dimensional Covariance Estimation Based on Gaussian Graphical Models Shuheng Zhou, Philipp Rütimann, Min Xu, Peter Bühlmann
NeurIPS 2011 Noise Thresholds for Spectral Clustering Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy, Aarti Singh
COLT 2010 Forest Density Estimation Anupam Gupta, John D. Lafferty, Han Liu, Larry A. Wasserman, Min Xu