Learning Transferable Features with Deep Adaptation Networks. - Mingsheng Long; Yue Cao 001; Jianmin Wang 001; Michael I. Jordan (ICML, 2015)

Deep Quantization Network for Efficient Image Retrieval. - Yue Cao 001; Mingsheng Long; Jianmin Wang 001; Han Zhu 007; Qingfu Wen (AAAI, 2016)

Deep Hashing Network for Efficient Similarity Retrieval. - Han Zhu 007; Mingsheng Long; Jianmin Wang 001; Yue Cao 001 (AAAI, 2016)

Deep Visual-Semantic Hashing for Cross-Modal Retrieval. - Yue Cao 001; Mingsheng Long; Jianmin Wang 001; Qiang Yang 001; Philip S. Yu (KDD, 2016)

Correlation Autoencoder Hashing for Supervised Cross-Modal Search. - Yue Cao 001; Mingsheng Long; Jianmin Wang 001; Han Zhu 007 (ICMR, 2016)

Composite Correlation Quantization for Efficient Multimodal Retrieval. - Mingsheng Long; Yue Cao 001; Jianmin Wang 001; Philip S. Yu (SIGIR, 2016)

Cleaning Timestamps with Temporal Constraints. - Shaoxu Song; Yue Cao 001; Jianmin Wang 001 (Proc. VLDB Endow., 2016)

Deep Learning of Transferable Representation for Scalable Domain Adaptation. - Mingsheng Long; Jianmin Wang 001; Yue Cao 001; Jia-Guang Sun 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2016)

Collective Deep Quantization for Efficient Cross-Modal Retrieval. - Yue Cao 001; Mingsheng Long; Jianmin Wang 001; Shichen Liu (AAAI, 2017)

Correlation Hashing Network for Efficient Cross-Modal Retrieval. - Yue Cao 001; Mingsheng Long; Jianmin Wang 001 (BMVC, 2017)

Deep Visual-Semantic Quantization for Efficient Image Retrieval. - Yue Cao 001; Mingsheng Long; Jianmin Wang 001; Shichen Liu (CVPR, 2017)

Unsupervised Domain Adaptation With Distribution Matching Machines. - Yue Cao 001; Mingsheng Long; Jianmin Wang 001 (AAAI, 2018)

Deep Cauchy Hashing for Hamming Space Retrieval. - Yue Cao 001; Mingsheng Long; Bin Liu 035; Jianmin Wang 001 (CVPR, 2018)

HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN. - Yue Cao 001; Bin Liu 035; Mingsheng Long; Jianmin Wang 001 (CVPR, 2018)

Cross-Modal Hamming Hashing. - Yue Cao 001; Bin Liu 035; Mingsheng Long; Jianmin Wang 001 (ECCV (1), 2018)

Deep Triplet Quantization. - Bin Liu 035; Yue Cao 001; Mingsheng Long; Jianmin Wang 001; Jingdong Wang 001 (ACM Multimedia, 2018)

Maximum-Margin Hamming Hashing. - Rong Kang; Yue Cao 001; Mingsheng Long; Jianmin Wang 001; Philip S. Yu (ICCV, 2019)

Spatial-Temporal Relation Networks for Multi-Object Tracking. - Jiarui Xu; Yue Cao 001; Zheng Zhang 022; Han Hu 001 (ICCV, 2019)

GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond. - Yue Cao 001; Jiarui Xu; Stephen Lin 001; Fangyun Wei; Han Hu 001 (ICCV Workshops, 2019)

Transferable Representation Learning with Deep Adaptation Networks. - Mingsheng Long; Yue Cao 001; Zhangjie Cao; Jianmin Wang 001; Michael I. Jordan (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Memory Enhanced Global-Local Aggregation for Video Object Detection. - Yihong Chen; Yue Cao 001; Han Hu 001; Liwei Wang 001 (CVPR, 2020)

Negative Margin Matters: Understanding Margin in Few-Shot Classification. - Bin Liu 035; Yue Cao 001; Yutong Lin; Qi Li; Zheng Zhang 022; Mingsheng Long; Han Hu 001 (ECCV (4), 2020)

A Closer Look at Local Aggregation Operators in Point Cloud Analysis. - Ze Liu; Han Hu 001; Yue Cao 001; Zheng Zhang 022; Xin Tong 001 (ECCV (23), 2020)

Disentangled Non-local Neural Networks. - Minghao Yin; Zhuliang Yao; Yue Cao 001; Xiu Li 001; Zheng Zhang 022; Stephen Lin 001; Han Hu 001 (ECCV (15), 2020)

Parametric Instance Classification for Unsupervised Visual Feature learning. - Yue Cao 001; Zhenda Xie; Bin Liu 035; Yutong Lin; Zheng Zhang 022; Han Hu 001 (NeurIPS, 2020)

RepPoints v2: Verification Meets Regression for Object Detection. - Yihong Chen; Zheng Zhang 022; Yue Cao 001; Liwei Wang 001; Stephen Lin 001; Han Hu 001 (NeurIPS, 2020)

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. - Zhenda Xie; Yutong Lin; Zheng Zhang 022; Yue Cao 001; Stephen Lin 001; Han Hu 001 (CVPR, 2021)

Cross-Iteration Batch Normalization. - Zhuliang Yao; Yue Cao 001; Shuxin Zheng; Gao Huang 001; Stephen Lin 001 (CVPR, 2021)

Group-Free 3D Object Detection via Transformers. - Ze Liu; Zheng Zhang 022; Yue Cao 001; Han Hu 001; Xin Tong 001 (ICCV, 2021)

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. - Ze Liu; Yutong Lin; Yue Cao 001; Han Hu 001; Yixuan Wei; Zheng Zhang 022; Stephen Lin 001; Baining Guo (ICCV, 2021)

Leveraging Batch Normalization for Vision Transformers. - Zhuliang Yao; Yue Cao 001; Yutong Lin; Ze Liu; Zheng Zhang 022; Han Hu 001 (ICCVW, 2021)

Bootstrap Your Object Detector via Mixed Training. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Yutong Lin; Yue Cao 001; Stephen Lin 001; Han Hu 001; Xiang Bai (NeurIPS, 2021)

Self-Supervised Learning with Swin Transformers. - Zhenda Xie; Yutong Lin; Zhuliang Yao; Zheng Zhang 022; Qi Dai 001; Yue Cao 001; Han Hu 001 (CoRR, 2021)

Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning. - Yansong Tang; Zhenyu Jiang 002; Zhenda Xie; Yue Cao 001; Zheng Zhang 022; Philip H. S. Torr; Han Hu 001 (CoRR, 2021)

A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Yutong Lin; Yue Cao 001; Han Hu 001; Xiang Bai (CoRR, 2021)

Cleaning timestamps with temporal constraints. - Shaoxu Song; Ruihong Huang; Yue Cao 001; Jianmin Wang 001 (VLDB J., 2021)

Swin Transformer V2: Scaling Up Capacity and Resolution. - Ze Liu; Han Hu 001; Yutong Lin; Zhuliang Yao; Zhenda Xie; Yixuan Wei; Jia Ning; Yue Cao 001; Zheng Zhang 022; Li Dong 004; Furu Wei; Baining Guo (CVPR, 2022)

Video Swin Transformer. - Ze Liu; Jia Ning; Yue Cao 001; Yixuan Wei; Zheng Zhang 022; Stephen Lin 001; Han Hu 001 (CVPR, 2022)

SimMIM: a Simple Framework for Masked Image Modeling. - Zhenda Xie; Zheng Zhang 022; Yue Cao 001; Yutong Lin; Jianmin Bao; Zhuliang Yao; Qi Dai 001; Han Hu 001 (CVPR, 2022)

Correlation-Aware Deep Tracking. - Fei Xie; Chunyu Wang 001; Guangting Wang; Yue Cao 001; Wankou Yang; Wenjun Zeng 001 (CVPR, 2022)

A Simple Approach and Benchmark for 21, 000-Category Object Detection. - Yutong Lin; Chen Li; Yue Cao 001; Zheng Zhang 022; Jianfeng Wang; Lijuan Wang; Zicheng Liu 001; Han Hu 001 (ECCV (11), 2022)

A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model. - Mengde Xu; Zheng Zhang 022; Fangyun Wei; Yutong Lin; Yue Cao 001; Han Hu 001; Xiang Bai (ECCV (29), 2022)

Could Giant Pre-trained Image Models Extract Universal Representations? - Yutong Lin; Ze Liu; Zheng Zhang 022; Han Hu 001; Nanning Zheng 001; Stephen Lin 001; Yue Cao 001 (NeurIPS, 2022)

iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition. - Yixuan Wei; Yue Cao 001; Zheng Zhang 022; Zhuliang Yao; Zhenda Xie; Han Hu 001; Baining Guo (CoRR, 2022)

Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation. - Yixuan Wei; Han Hu 001; Zhenda Xie; Zheng Zhang 022; Yue Cao 001; Jianmin Bao; Dong Chen 003; Baining Guo (CoRR, 2022)

Could Giant Pretrained Image Models Extract Universal Representations? - Yutong Lin; Ze Liu; Zheng Zhang 022; Han Hu 001; Nanning Zheng 001; Stephen Lin 001; Yue Cao 001 (CoRR, 2022)

Deep Model Assembling. - Zanlin Ni; Yulin Wang 002; Jiangwei Yu; Haojun Jiang; Yue Cao 001; Gao Huang 001 (CoRR, 2022)

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale. - Yuxin Fang; Wen Wang 015; Binhui Xie; Quan Sun; Ledell Wu; Xinggang Wang; Tiejun Huang 003; Xinlong Wang; Yue Cao 001 (CVPR, 2023)

Images Speak in Images: A Generalist Painter for In-Context Visual Learning. - Xinlong Wang; Wen Wang 015; Yue Cao 001; Chunhua Shen; Tiejun Huang 003 (CVPR, 2023)

iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition. - Yixuan Wei; Yue Cao 001; Zheng Zhang 022; Houwen Peng; Zhuliang Yao; Zhenda Xie; Han Hu 001; Baining Guo (CVPR, 2023)

Revealing the Dark Secrets of Masked Image Modeling. - Zhenda Xie; Zigang Geng; Jingcheng Hu; Zheng Zhang 022; Han Hu 001; Yue Cao 001 (CVPR, 2023)

On Data Scaling in Masked Image Modeling. - Zhenda Xie; Zheng Zhang 022; Yue Cao 001; Yutong Lin; Yixuan Wei; Qi Dai 001; Han Hu 001 (CVPR, 2023)

Deep Incubation: Training Large Models by Divide-and-Conquering. - Zanlin Ni; Yulin Wang 002; Jiangwei Yu; Haojun Jiang; Yue Cao 001; Gao Huang 001 (ICCV, 2023)

SegGPT: Towards Segmenting Everything In Context. - Xinlong Wang; Xiaosong Zhang; Yue Cao 001; Wen Wang 015; Chunhua Shen; Tiejun Huang 003 (ICCV, 2023)

Improving CLIP Fine-tuning Performance. - Yixuan Wei; Han Hu 001; Zhenda Xie; Ze Liu; Zheng Zhang 022; Yue Cao 001; Jianmin Bao; Dong Chen 003; Baining Guo (ICCV, 2023)

EVA-CLIP: Improved Training Techniques for CLIP at Scale. - Quan Sun; Yuxin Fang; Ledell Wu; Xinlong Wang; Yue Cao 001 (CoRR, 2023)

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models. - Wen Wang 015; Kangyang Xie; Zide Liu; Hao Chen 041; Yue Cao 001; Xinlong Wang; Chunhua Shen (CoRR, 2023)

SegGPT: Segmenting Everything In Context. - Xinlong Wang; Xiaosong Zhang; Yue Cao 001; Wen Wang 015; Chunhua Shen; Tiejun Huang 003 (CoRR, 2023)

Global Context Networks. - Yue Cao 001; Jiarui Xu; Stephen Lin 001; Fangyun Wei; Han Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

EVA-02: A visual representation for neon genesis. - Yuxin Fang; Quan Sun; Xinggang Wang; Tiejun Huang 003; Xinlong Wang; Yue Cao 001 (Image Vis. Comput., 2024)

Correlation-Embedded Transformer Tracking: A Single-Branch Framework. - Fei Xie; Wankou Yang; Chunyu Wang 001; Lei Chu; Yue Cao 001; Chao Ma 004; Wenjun Zeng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Masked Channel Modeling for Bootstrapping Visual Pre-training. - Yang Liu 357; Xinlong Wang; Muzhi Zhu; Yue Cao 001; Tiejun Huang 001; Chunhua Shen (Int. J. Comput. Vis., 2025)