Yue Cao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 69

Top Topics

Image Retrieval

Visual Recognition

Aggregation Operators

Top Venues

Publications

Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma, Wenjun Zeng
Correlation-Embedded Transformer Tracking: A Single-Branch Framework. CoRR (2024)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
Global Context Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao
Revealing the Dark Secrets of Masked Image Modeling. CVPR (2023)
Yixuan Wei, Yue Cao, Zheng Zhang, Houwen Peng, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo
iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-training for Visual Recognition. CVPR (2023)
Yixuan Wei, Han Hu, Zhenda Xie, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo
Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation. CoRR (2022)
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu
Video Swin Transformer. CVPR (2022)
Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
Could Giant Pre-trained Image Models Extract Universal Representations? NeurIPS (2022)
Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao
Revealing the Dark Secrets of Masked Image Modeling. CoRR (2022)
Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
Could Giant Pretrained Image Models Extract Universal Representations? CoRR (2022)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model. ECCV (24) (2022)
Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo
Swin Transformer V2: Scaling Up Capacity and Resolution. CVPR (2022)
Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu
On Data Scaling in Masked Image Modeling. CoRR (2022)
Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang
Deep Model Assembling. CoRR (2022)
Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu
SimMIM: a Simple Framework for Masked Image Modeling. CVPR (2022)
Yixuan Wei, Yue Cao, Zheng Zhang, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo
iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition. CoRR (2022)
Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo
Swin Transformer V2: Scaling Up Capacity and Resolution. CoRR (2021)
Yansong Tang, Zhenyu Jiang, Zhenda Xie, Yue Cao, Zheng Zhang, Philip H. S. Torr, Han Hu
Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning. CoRR (2021)
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong
Group-Free 3D Object Detection via Transformers. CoRR (2021)
Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu
SimMIM: A Simple Framework for Masked Image Modeling. CoRR (2021)
Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu
Self-Supervised Learning with Swin Transformers. CoRR (2021)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai
Bootstrap Your Object Detector via Mixed Training. CoRR (2021)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai
Bootstrap Your Object Detector via Mixed Training. NeurIPS (2021)
Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
Cross-Iteration Batch Normalization. CVPR (2021)
Shaoxu Song, Ruihong Huang, Yue Cao, Jianmin Wang
Cleaning timestamps with temporal constraints. VLDB J. 30 (3) (2021)
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu
Video Swin Transformer. CoRR (2021)
Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai
A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model. CoRR (2021)
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. ICCV (2021)
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. CoRR (2021)
Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong
Group-Free 3D Object Detection via Transformers. ICCV (2021)
Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CVPR (2021)
Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu
Leveraging Batch Normalization for Vision Transformers. ICCVW (2021)
Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin
Cross-Iteration Batch Normalization. CoRR (2020)
Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu
Parametric Instance Classification for Unsupervised Visual Feature learning. NeurIPS (2020)
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS (2020)
Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
Negative Margin Matters: Understanding Margin in Few-shot Classification. CoRR (2020)
Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong
A Closer Look at Local Aggregation Operators in Point Cloud Analysis. ECCV (23) (2020)
Yihong Chen, Yue Cao, Han Hu, Liwei Wang
Memory Enhanced Global-Local Aggregation for Video Object Detection. CVPR (2020)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
Global Context Networks. CoRR (2020)
Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu
Parametric Instance Classification for Unsupervised Visual Feature Learning. CoRR (2020)
Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong
A Closer Look at Local Aggregation Operators in Point Cloud Analysis. CoRR (2020)
Yihong Chen, Yue Cao, Han Hu, Liwei Wang
Memory Enhanced Global-Local Aggregation for Video Object Detection. CoRR (2020)
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu
RepPoints V2: Verification Meets Regression for Object Detection. CoRR (2020)
Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu
Disentangled Non-local Neural Networks. ECCV (15) (2020)
Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CoRR (2020)
Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
Negative Margin Matters: Understanding Margin in Few-Shot Classification. ECCV (4) (2020)
Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu
Disentangled Non-Local Neural Networks. CoRR (2020)
Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang
Deep Triplet Quantization. CoRR (2019)
Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu
Spatial-Temporal Relation Networks for Multi-Object Tracking. ICCV (2019)
Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu
Spatial-Temporal Relation Networks for Multi-Object Tracking. CoRR (2019)
Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
Transferable Representation Learning with Deep Adaptation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41 (12) (2019)
Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
Maximum-Margin Hamming Hashing. ICCV (2019)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond. ICCV Workshops (2019)
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond. CoRR (2019)
Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang
Deep Triplet Quantization. ACM Multimedia (2018)
Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
Cross-Modal Hamming Hashing. ECCV (1) (2018)
Yue Cao, Mingsheng Long, Jianmin Wang
Unsupervised Domain Adaptation With Distribution Matching Machines. AAAI (2018)
Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN. CVPR (2018)
Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
Deep Cauchy Hashing for Hamming Space Retrieval. CVPR (2018)
Yue Cao, Mingsheng Long, Jianmin Wang
Correlation Hashing Network for Efficient Cross-Modal Retrieval. BMVC (2017)
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
Deep Visual-Semantic Quantization for Efficient Image Retrieval. CVPR (2017)
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
Collective Deep Quantization for Efficient Cross-Modal Retrieval. AAAI (2017)
Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
Deep Hashing Network for Efficient Similarity Retrieval. AAAI (2016)
Mingsheng Long, Jianmin Wang, Yue Cao, Jia-Guang Sun, Philip S. Yu
Deep Learning of Transferable Representation for Scalable Domain Adaptation. IEEE Trans. Knowl. Data Eng. 28 (8) (2016)
Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu
Composite Correlation Quantization for Efficient Multimodal Retrieval. SIGIR (2016)
Shaoxu Song, Yue Cao, Jianmin Wang
Cleaning Timestamps with Temporal Constraints. Proc. VLDB Endow. 9 (10) (2016)
Yue Cao, Mingsheng Long, Jianmin Wang
Correlation Hashing Network for Efficient Cross-Modal Retrieval. CoRR (2016)
Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
Deep Visual-Semantic Hashing for Cross-Modal Retrieval. KDD (2016)
Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
Correlation Autoencoder Hashing for Supervised Cross-Modal Search. ICMR (2016)
Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen
Deep Quantization Network for Efficient Image Retrieval. AAAI (2016)
Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan
Learning Transferable Features with Deep Adaptation Networks. ICML (2015)