Zhang, Quan

19 publications

UAI 2025 Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection Tianci Liu, Tong Yang, Quan Zhang, Qi Lei

AISTATS 2025 Elastic Representation: Mitigating Spurious Correlations for Group Robustness Tao Wen, Zihan Wang, Quan Zhang, Qi Lei

CVPR 2025 FFR: Frequency Feature Rectification for Weakly Supervised Semantic Segmentation Ziqian Yang, Xinqiao Zhao, Xiaolei Wang, Quan Zhang, Jimin Xiao

IJCAI 2025 Free Lunch of Image-Mask Alignment for Anomaly Image Generation and Segmentation Xiangyue Li, Xiaoyang Wang, Zhibin Wan, Quan Zhang, Yupei Wu, Tao Deng, Mingjie Sun

AAAI 2025 GIM: A Million-Scale Benchmark for Generative Image Manipulation Detection and Localization Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu

ICLR 2025 IMDPrompter: Adapting SAM to Image Manipulation Detection by Cross-View Automated Prompt Learning Quan Zhang, Yuxin Qi, Xi Tang, Jinwei Fang, Xi Lin, Ke Zhang, Chun Yuan

AAAI 2025 Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction Quan Zhang, Yuxin Qi, Xi Tang, Rui Yuan, Xi Lin, Ke Zhang, Chun Yuan

CVPR 2025 SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity Yijie Xu, Bolun Zheng, Wei Zhu, Hangjia Pan, Yuchen Yao, Ning Xu, Anan Liu, Quan Zhang, Chenggang Yan

AAAI 2025 Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation Yuxin Qi, Quan Zhang, Xi Lin, Xiu Su, Jiani Zhu, Jingyu Wang, Jianhua Li

CVPR 2025 Weakly Supervised Temporal Action Localization via Dual-Prior Collaborative Learning Guided by Multimodal Large Language Models Quan Zhang, Jinwei Fang, Rui Yuan, Xi Tang, Yuxin Qi, Ke Zhang, Chun Yuan

CVPR 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang

AAAI 2024 Unsupervised Group Re-Identification via Adaptive Clustering-Driven Progressive Learning Hongxu Chen, Quan Zhang, Jian-Huang Lai, Xiaohua Xie

CVPR 2024 View-Decoupled Transformer for Person Re-Identification Under Aerial-Ground Camera Network Quan Zhang, Lei Wang, Vishal M. Patel, Xiaohua Xie, Jianhaung Lai

ICML 2023 Optimization for Amortized Inverse Problems Tianci Liu, Tong Yang, Quan Zhang, Qi Lei

JMLR 2023 Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates Quan Zhang, Yanxun Xu, Mei-Cheng Wang, Mingyuan Zhou

CVPR 2022 Modeling 3D Layout for Group Re-Identification Quan Zhang, Kaiheng Dang, Jian-Huang Lai, Zhanxiang Feng, Xiaohua Xie

AAAI 2022 Uncertainty Modeling with Second-Order Transformer for Group Re-Identification Quan Zhang, Jian-Huang Lai, Zhan-Xiang Feng, Xiaohua Xie

NeurIPSW 2021 PANOM: Automatic Hyper-Parameter Tuning for Inverse Problems Tianci Liu, Quan Zhang, Qi Lei

NeurIPS 2018 Nonparametric Bayesian Lomax Delegate Racing for Survival Analysis with Competing Risks Quan Zhang, Mingyuan Zhou