Cao, Yue

64 publications

ICLR 2026 VisualPRM400K: An Effective Dataset for Training Multimodal Process Reward Models Weiyun Wang, Zhangwei Gao, Lianjie Chen, Zhe Chen, Jinguo Zhu, Xiangyu Zhao, Yangzhou Liu, Yue Cao, Shenglong Ye, Xizhou Zhu, Lewei Lu, Haodong Duan, Yu Qiao, Jifeng Dai, Wenhai Wang

NeurIPS 2025 DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches Yun Xing, Yue Cao, Nhat Chung, Jie Zhang, Ivor Tsang, Ming-Ming Cheng, Yang Liu, Lei Ma, Qing Guo

CVPR 2025 Learning Physics-Based Full-Body Human Reaching and Grasping from Brief Walking References Yitang Li, Mingxian Lin, Zhuo Lin, Yipeng Deng, Yue Cao, Li Yi

CVPR 2025 SceneTAP: Scene-Coherent Typographic Adversarial Planner Against Vision-Language Models in Real-World Environments Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor Tsang, Yang Liu, Qing Guo

CVPR 2024 CapsFusion: Rethinking Image-Text Data at Scale Qiying Yu, Quan Sun, Xiaosong Zhang, Yufeng Cui, Fan Zhang, Yue Cao, Xinlong Wang, Jingjing Liu

AAAI 2024 FedMut: Generalized Federated Learning via Stochastic Mutation Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu

ICLR 2024 IRAD: Implicit Representation-Driven Image Resampling Against Adversarial Attacks Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor Tsang, Yang Liu, Qing Guo

CVPR 2023 All Are Worth Words: A ViT Backbone for Diffusion Models Fan Bao, Shen Nie, Kaiwen Xue, Yue Cao, Chongxuan Li, Hang Su, Jun Zhu

ICML 2023 Continual Learners Are Incremental Model Generalizers Jaehong Yoon, Sung Ju Hwang, Yue Cao

ICCV 2023 Deep Incubation: Training Large Models by Divide-and-Conquering Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang

CVPR 2023 EVA: Exploring the Limits of Masked Visual Representation Learning at Scale Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, Yue Cao

CVPR 2023 Images Speak in Images: A Generalist Painter for In-Context Visual Learning Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, Tiejun Huang

ICCV 2023 Improving CLIP Fine-Tuning Performance Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo

AAAI 2023 Lightweight Transformer for Multi-Modal Object Detection (Student Abstract) Yue Cao, Yanshuo Fan, Junchi Bin, Zheng Liu

CVPRW 2023 Multimodal Object Detection by Channel Switching and Spatial Attention Yue Cao, Junchi Bin, Jozsef Hamari, Erik Blasch, Zheng Liu

CVPR 2023 On Data Scaling in Masked Image Modeling Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu

ICML 2023 One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu

CVPR 2023 Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography Yue Cao, Ming Liu, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo

CVPR 2023 Revealing the Dark Secrets of Masked Image Modeling Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao

ICML 2023 Revisiting Discriminative vs. Generative Classifiers: Theory and Implications Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu

ICCV 2023 SegGPT: Towards Segmenting Everything in Context Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang

CVPR 2023 iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition Yixuan Wei, Yue Cao, Zheng Zhang, Houwen Peng, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo

ECCV 2022 A Simple Approach and Benchmark for 21,000-Category Object Detection Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu

ECCV 2022 A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-Trained Vision-Language Model Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai

NeurIPSW 2022 All Are Worth Words: A ViT Backbone for Score-Based Diffusion Models Fan Bao, Chongxuan Li, Yue Cao, Jun Zhu

ICLR 2022 Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

CVPR 2022 Correlation-Aware Deep Tracking Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng

NeurIPS 2022 Could Giant Pre-Trained Image Models Extract Universal Representations? Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao

CVPR 2022 Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment Yue Cao, Zhaolin Wan, Dongwei Ren, Zifei Yan, Wangmeng Zuo

CVPR 2022 SimMIM: A Simple Framework for Masked Image Modeling Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu

CVPR 2022 Swin Transformer V2: Scaling up Capacity and Resolution Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo

CVPR 2022 Video Swin Transformer Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu

NeurIPS 2021 Bootstrap Your Object Detector via Mixed Training Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai

CVPR 2021 Cross-Iteration Batch Normalization Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin

ICML 2021 Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-Based Generative Model for Protein Design Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen

ICCV 2021 Group-Free 3D Object Detection via Transformers Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong

ICCVW 2021 Leveraging Batch Normalization for Vision Transformers Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu

CVPR 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu

ICCV 2021 Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo

ECCV 2020 A Closer Look at Local Aggregation Operators in Point Cloud Analysis Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong

ECCV 2020 Disentangled Non-Local Neural Networks Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu

CVPR 2020 Memory Enhanced Global-Local Aggregation for Video Object Detection Yihong Chen, Yue Cao, Han Hu, Liwei Wang

AAAI 2020 MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization Yue Cao, Xiaojun Wan, Jin-ge Yao, Dian Yu

CVPRW 2020 NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas S. Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mozejko, Tomasz Latkowski, Lukasz Treszczotko, Michal Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory G. Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar

ECCV 2020 Negative Margin Matters: Understanding Margin in Few-Shot Classification Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu

NeurIPS 2020 Parametric Instance Classification for Unsupervised Visual Feature Learning Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu

NeurIPS 2020 RepPoints V2: Verification Meets Regression for Object Detection Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu

ECCV 2020 Unpaired Learning of Deep Image Denoising Xiaohe Wu, Ming Liu, Yue Cao, Dongwei Ren, Wangmeng Zuo

ICLR 2020 VL-BERT: Pre-Training of Generic Visual-Linguistic Representations Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai

ICCVW 2019 GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu

NeurIPS 2019 Learning to Optimize in Swarms Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

ICCV 2019 Maximum-Margin Hamming Hashing Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu

ICCV 2019 Spatial-Temporal Relation Networks for Multi-Object Tracking Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu

ECCV 2018 Cross-Modal Hamming Hashing Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang

CVPR 2018 Deep Cauchy Hashing for Hamming Space Retrieval Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang

CVPR 2018 HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang

AAAI 2018 Unsupervised Domain Adaptation with Distribution Matching Machines Yue Cao, Mingsheng Long, Jianmin Wang

AAAI 2017 Collective Deep Quantization for Efficient Cross-Modal Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu

CVPR 2017 Deep Visual-Semantic Quantization for Efficient Image Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu

AAAI 2016 Deep Hashing Network for Efficient Similarity Retrieval Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao

AAAI 2016 Deep Quantization Network for Efficient Image Retrieval Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen

ICML 2015 Learning Transferable Features with Deep Adaptation Networks Mingsheng Long, Yue Cao, Jianmin Wang, Michael Jordan

IJCAI 2001 Total-Order Planning with Partially Ordered Subtasks Dana S. Nau, Héctor Muñoz-Avila, Yue Cao, Amnon Lotem, Steven Mitchell

IJCAI 1999 SHOP: Simple Hierarchical Ordered Planner Dana S. Nau, Yue Cao, Amnon Lotem, Héctor Muñoz-Avila