Wang, Nannan

83 publications

ICCV 2025 3D Test-Time Adaptation via Graph Spectral Driven Point Shift Xin Wei, Qin Yang, Yijie Fang, Mingrui Zhu, Nannan Wang

CVPR 2025 Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization Zhipeng Xu, De Cheng, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao

AAAI 2025 Asymmetric Reinforcing Against Multi-Modal Representation Bias Xiyuan Gao, Bing Cao, Pengfei Zhu, Nannan Wang, Qinghua Hu

ICCV 2025 DIH-CLIP: Unleashing the Diversity of Multi-Head Self-Attention for Training-Free Open-Vocabulary Semantic Segmentation Songsong Duan, Xi Yang, Nannan Wang

ICML 2025 Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts Kun Cheng, Xiao He, Lei Yu, Zhijun Tu, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

ICCV 2025 Dual Domain Control via Active Learning for Remote Sensing Domain Incremental Object Detection Jiachen Sun, De Cheng, Xi Yang, Nannan Wang

CVPR 2025 DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework Yalong Xu, Lin Zhao, Chen Gong, Guangyu Li, Di Wang, Nannan Wang

AAAI 2025 Effective Diffusion Transformer Architecture for Image Super-Resolution Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

AAAI 2025 Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement Nuoyan Zhou, Dawei Zhou, Decheng Liu, Nannan Wang, Xinbo Gao

AAAI 2025 Motion Artifact Removal in Pixel-Frequency Domain via Alternate Masks and Diffusion Model Jiahua Xu, Dawei Zhou, Lei Hu, Jianfeng Guo, Feng Yang, Zaiyi Liu, Nannan Wang, Xinbo Gao

CVPR 2025 Multi-Label Prototype Visual Spatial Search for Weakly Supervised Semantic Segmentation Songsong Duan, Xi Yang, Nannan Wang

AAAI 2025 Optimizing Label Assignment for Weakly Supervised Person Search Haiyang Zhu, Xi Yang, Nannan Wang

ICML 2025 Phase and Amplitude-Aware Prompting for Enhancing Adversarial Robustness Yibo Xu, Dawei Zhou, Decheng Liu, Nannan Wang

ICCV 2025 Q-Norm: Robust Representation Learning via Quality-Adaptive Normalization Lanning Zhang, Ying Zhou, Fei Gao, Ziyun Li, Maoying Qiao, Jinlan Xu, Nannan Wang

AAAI 2025 QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception Fei Gao, Ying Zhou, Ziyun Li, Wenwang Han, Jiaqi Shi, Maoying Qiao, Jinlan Xu, Nannan Wang

CVPR 2025 ReCon: Enhancing True Correspondence Discrimination Through Relation Consistency for Robust Noisy Correspondence Learning Quanxing Zha, Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Xing Xu, Nannan Wang

ICML 2025 Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models Liangchen Liu, Nannan Wang, Xi Yang, Xinbo Gao, Tongliang Liu

AAAI 2025 Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluations Decheng Liu, Zongqi Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao

IJCAI 2025 Towards Regularized Mixture of Predictions for Class-Imbalanced Semi-Supervised Facial Expression Recognition Hangyu Li, Yixin Zhang, Jiangchao Yao, Nannan Wang, Bo Han

AAAI 2025 Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning Yue Lu, Shizhou Zhang, De Cheng, Guoqiang Liang, Yinghui Xing, Nannan Wang, Yanning Zhang

AAAI 2024 Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model Decheng Liu, Xijun Wang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao

IJCAI 2024 Bridging Generative and Discriminative Models for Unified Visual Perception with Diffusion Priors Shiyin Dong, Mingrui Zhu, Kun Cheng, Nannan Wang, Xinbo Gao

NeurIPS 2024 Diffusion-Based Layer-Wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection Ying Yang, De Cheng, Chaowei Fang, Yubiao Wang, Changzhe Jiao, Lechao Cheng, Nannan Wang, Xinbo Gao

CVPR 2024 Disentangled Prompt Representation for Domain Generalization De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao

NeurIPS 2024 Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-Identification Xi Yang, Huanling Liu, De Cheng, Nannan Wang, Xinbo Gao

CVPR 2024 Generating Handwritten Mathematical Expressions from Symbol Graphs: An End-to-End Pipeline Yu Chen, Fei Gao, Yanguang Zhang, Maoying Qiao, Nannan Wang

IJCAI 2024 Multi-Granularity Graph-Convolution-Based Method for Weakly Supervised Person Search Haichun Tai, De Cheng, Jie Li, Nannan Wang, Xinbo Gao

AAAI 2024 Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking Yan Gao, Haojun Xu, Jie Li, Nannan Wang, Xinbo Gao

ICLR 2024 On the Analysis of GAN-Based Image-to-Image Translation with Gaussian Noise Injection Chaohua Shi, Kexin Huang, Lu Gan, Hongqing Liu, Mingrui Zhu, Nannan Wang, Xinbo Gao

AAAI 2024 Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis Xingyilang Yin, Xi Yang, Liangchen Liu, Nannan Wang, Xinbo Gao

ECCV 2024 Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization Xi Yang, Songsong Duan, Nannan Wang, Xinbo Gao

ICLR 2024 Robust Training of Federated Models with Extremely Label Deficiency Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han

AAAI 2024 SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang

ICML 2024 Task-Aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning Yusong Hu, De Cheng, Dingwen Zhang, Nannan Wang, Tongliang Liu, Xinbo Gao

NeurIPS 2024 Visual Prompt Tuning in Null Space for Continual Learning Yue Lu, Shizhou Zhang, De Cheng, Yinghui Xing, Nannan Wang, Peng Wang, Yanning Zhang

ICCV 2023 All-to-Key Attention for Arbitrary Style Transfer Mingrui Zhu, Xiao He, Nannan Wang, Xiaoyu Wang, Xinbo Gao

CVPR 2023 Boosting Weakly-Supervised Temporal Action Localization with Text Information Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Xiaoyu Wang, Xinbo Gao

AAAI 2023 Cross-Modality Person Re-Identification with Memory-Based Contrastive Embedding De Cheng, Xiaolong Wang, Nannan Wang, Zhen Wang, Xiaoyu Wang, Xinbo Gao

ICML 2023 Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu

ICCV 2023 Hiding Visual Information via Obfuscating Adversarial Perturbations Zhigang Su, Dawei Zhou, Nannan Wang, Decheng Liu, Zhen Wang, Xinbo Gao

ICCV 2023 Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation Fei Gao, Yifan Zhu, Chang Jiang, Nannan Wang

CVPR 2023 Masked and Adaptive Transformer for Exemplar Based Image Translation Chang Jiang, Fei Gao, Biao Ma, Yuhao Lin, Nannan Wang, Gang Xu

NeurIPS 2023 NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning Yun Yi, Haokui Zhang, Rong Xiao, Nannan Wang, Xiaoyu Wang

CVPR 2023 NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction Yun Yi, Haokui Zhang, Wenze Hu, Nannan Wang, Xiaoyu Wang

ICML 2023 Phase-Aware Adversarial Defense for Improving Adversarial Robustness Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu

IJCAI 2023 Semantic-Aware Generation of Multi-View Portrait Drawings Biao Ma, Fei Gao, Chang Jiang, Nannan Wang, Gang Xu

NeurIPS 2022 Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu

CVPR 2022 Exploring Set Similarity for Dense Self-Supervised Representation Learning Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu

ICML 2022 Improving Adversarial Robustness via Mutual Information Estimation Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu

CVPR 2022 Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Masashi Sugiyama

ICML 2022 Modeling Adversarial Noise for Adversarial Training Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu

IJCAI 2022 Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun

CVPR 2022 Towards Semi-Supervised Deep Facial Expression Recognition with an Adaptive Confidence Margin Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao

IJCAI 2021 A Sketch-Transformer Network for Face Photo-Sketch Synthesis Mingrui Zhu, Changcheng Liang, Nannan Wang, Xiaoyu Wang, Zhifeng Li, Xinbo Gao

ICML 2021 Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu

CVPR 2021 Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer Tianwei Lin, Zhuoqi Ma, Fu Li, Dongliang He, Xin Li, Errui Ding, Nannan Wang, Jie Li, Xinbo Gao

ICCV 2021 Removing Adversarial Noise in Class Activation Feature Space Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu

ICLR 2021 Robust Early-Learning: Hindering the Memorization of Noisy Labels Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang

ICCV 2021 Support-Set Based Cross-Supervision for Video Grounding Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang, Xinbo Gao

ICCV 2021 Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification Ziyu Wei, Xi Yang, Nannan Wang, Xinbo Gao

ICML 2021 Towards Defending Against Adversarial Examples via Attack-Invariant Features Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao

AAAI 2021 Training Binary Neural Network Without Batch Normalization for Image Super-Resolution Xinrui Jiang, Nannan Wang, Jingwei Xin, Keyu Li, Xi Yang, Xinbo Gao

AAAI 2020 Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis Bing Cao, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen

ECCV 2020 Binarized Neural Network for Single Image Super Resolution Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Heng Huang, Xinbo Gao

AAAI 2020 Facial Attribute Capsules for Noise Face Super Resolution Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao, Zhifeng Li

NeurIPS 2020 Part-Dependent Label Noise: Towards Instance-Dependent Label Noise Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama

AAAI 2020 Video Face Super-Resolution with Motion-Adaptive Feedback Cell Jingwei Xin, Nannan Wang, Jie Li, Xinbo Gao, Zhifeng Li

NeurIPS 2019 Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama

IJCAI 2019 Face Photo-Sketch Synthesis via Knowledge Transfer Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li

IJCAI 2019 Group Reconstruction and Max-Pooling Residual Capsule Network Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang

AAAI 2019 HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification Yi Hao, Nannan Wang, Jie Li, Xinbo Gao

IJCAI 2019 Multi-Margin Based Decorrelation Learning for Heterogeneous Face Recognition Bing Cao, Nannan Wang, Xinbo Gao, Jie Li, Zhifeng Li

AAAI 2019 Residual Attribute Attention Network for Face Image Super-Resolution Jingwei Xin, Nannan Wang, Xinbo Gao, Jie Li

AAAI 2018 Asymmetric Joint Learning for Heterogeneous Face Recognition Bing Cao, Nannan Wang, Xinbo Gao, Jie Li

IJCAI 2018 Deep Attribute Guided Representation for Heterogeneous Face Recognition Decheng Liu, Nannan Wang, Chunlei Peng, Jie Li, Xinbo Gao

AAAI 2018 Face Sketch Synthesis from Coarse to Fine Mingjin Zhang, Nannan Wang, Yunsong Li, Ruxin Wang, Xinbo Gao

IJCAI 2018 From Reality to Perception: Genre-Based Neural Image Style Transfer Zhuoqi Ma, Nannan Wang, Xinbo Gao, Jie Li

IJCAI 2018 Markov Random Neural Fields for Face Sketch Synthesis Mingjin Zhang, Nannan Wang, Xinbo Gao, Yunsong Li

IJCAI 2017 Deep Graphical Feature Learning for Face Sketch Synthesis Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Li

ECCV 2016 Face Recognition from Multiple Stylistic Sketches: Scenarios, Datasets, and Evaluation Chunlei Peng, Nannan Wang, Xinbo Gao, Jie Li

ECCVW 2016 Face Recognition from Multiple Stylistic Sketches: Scenarios, Datasets, and Evaluation Chunlei Peng, Nannan Wang, Xinbo Gao, Jie Li

ECCV 2016 Fast Face Sketch Synthesis via KD-Tree Search Yuqian Zhang, Nannan Wang, Shengchuan Zhang, Jie Li, Xinbo Gao

ECCVW 2016 Fast Face Sketch Synthesis via KD-Tree Search Yuqian Zhang, Nannan Wang, Shengchuan Zhang, Jie Li, Xinbo Gao