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ORCIDYue Cao 0001
Person information
- unicode name: 曹越
- affiliation: Microsoft Research Asia, Beijing, China
- affiliation (PhD 2019): Tsinghua University, School of Software, Beijing, China
Other persons with the same name
- Yue Cao — disambiguation page
- Yue Cao 0002
![[0000-0002-2098-7637]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2098-7637")
— Wuhan University, School of Cyber Science and Engineering, China (and 3 more) - Yue Cao 0003 — University of California at Riverside, CA, USA
- Yue Cao 0004 — Central South University, School of Information Science and Engineering, Changsha, China (and 1 more)
- Yue Cao 0005 — Tsinghua University, Institute of Manufacturing Engineering, Department of Mechanical Engineering, State Key Laboratory of Tribology, Beijing, China
- Yue Cao 0006 — Peking University, MOE Key Laboratory of Computational Linguistics, Beijing, China
- Yue Cao 0007 — Purdue University, ARTLab, West Lafayette, IN, USA
- Yue Cao 0008 — Oregon State University, Corvallis, OR, USA (and 1 more)
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Journal Articles
- 2023
[j5]Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
Global Context Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6881-6895 (2023)- 2021
- [j4]Shaoxu Song, Ruihong Huang, Yue Cao, Jianmin Wang:
Cleaning timestamps with temporal constraints. VLDB J. 30(3): 425-446 (2021) - 2019
- [j3]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): 3071-3085 (2019) - 2016
- [j2]Shaoxu Song, Yue Cao, Jianmin Wang:
Cleaning Timestamps with Temporal Constraints. Proc. VLDB Endow. 9(10): 708-719 (2016) - [j1]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): 2027-2040 (2016)
Conference and Workshop Papers
- 2023
- [c41]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: 2776-2786 - [c40]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu:
On Data Scaling in Masked Image Modeling. CVPR 2023: 10365-10374 - [c39]Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao:
Revealing the Dark Secrets of Masked Image Modeling. CVPR 2023: 14475-14485 - [c38]Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo:
Improving CLIP Fine-tuning Performance. ICCV 2023: 5416-5426 - [c37]Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang:
Deep Incubation: Training Large Models by Divide-and-Conquering. ICCV 2023: 17289-17299 - 2022
- [c36]Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu:
Video Swin Transformer. CVPR 2022: 3192-3201 - [c35]Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng:
Correlation-Aware Deep Tracking. CVPR 2022: 8741-8750 - [c34]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: 9643-9653 - [c33]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: 11999-12009 - [c32]Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu:
A Simple Approach and Benchmark for 21, 000-Category Object Detection. ECCV (11) 2022: 1-18 - [c31]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 (29) 2022: 736-753 - [c30]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 - 2021
- [c29]Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. CVPR 2021: 12331-12340 - [c28]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: 16684-16693 - [c27]Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong:
Group-Free 3D Object Detection via Transformers. ICCV 2021: 2929-2938 - [c26]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: 9992-10002 - [c25]Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu:
Leveraging Batch Normalization for Vision Transformers. ICCVW 2021: 413-422 - [c24]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: 11315-11325 - 2020
- [c23]Yihong Chen, Yue Cao, Han Hu, Liwei Wang:
Memory Enhanced Global-Local Aggregation for Video Object Detection. CVPR 2020: 10334-10343 - [c22]Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu:
Disentangled Non-local Neural Networks. ECCV (15) 2020: 191-207 - [c21]Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong:
A Closer Look at Local Aggregation Operators in Point Cloud Analysis. ECCV (23) 2020: 326-342 - [c20]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: 438-455 - [c19]Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu:
Parametric Instance Classification for Unsupervised Visual Feature learning. NeurIPS 2020 - [c18]Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu:
RepPoints v2: Verification Meets Regression for Object Detection. NeurIPS 2020 - 2019
- [c17]Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu:
Spatial-Temporal Relation Networks for Multi-Object Tracking. ICCV 2019: 3987-3997 - [c16]Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu:
Maximum-Margin Hamming Hashing. ICCV 2019: 8251-8260 - [c15]Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond. ICCV Workshops 2019: 1971-1980 - 2018
- [c14]Yue Cao, Mingsheng Long, Jianmin Wang:
Unsupervised Domain Adaptation With Distribution Matching Machines. AAAI 2018: 2795-2802 - [c13]Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang:
Deep Cauchy Hashing for Hamming Space Retrieval. CVPR 2018: 1229-1237 - [c12]Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang:
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN. CVPR 2018: 1287-1296 - [c11]Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang:
Cross-Modal Hamming Hashing. ECCV (1) 2018: 207-223 - [c10]Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang:
Deep Triplet Quantization. ACM Multimedia 2018: 755-763 - 2017
- [c9]Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu:
Collective Deep Quantization for Efficient Cross-Modal Retrieval. AAAI 2017: 3974-3980 - [c8]Yue Cao, Mingsheng Long, Jianmin Wang:
Correlation Hashing Network for Efficient Cross-Modal Retrieval. BMVC 2017 - [c7]Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu:
Deep Visual-Semantic Quantization for Efficient Image Retrieval. CVPR 2017: 916-925 - 2016
- [c6]Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao:
Deep Hashing Network for Efficient Similarity Retrieval. AAAI 2016: 2415-2421 - [c5]Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen:
Deep Quantization Network for Efficient Image Retrieval. AAAI 2016: 3457-3463 - [c4]Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu:
Deep Visual-Semantic Hashing for Cross-Modal Retrieval. KDD 2016: 1445-1454 - [c3]Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu:
Correlation Autoencoder Hashing for Supervised Cross-Modal Search. ICMR 2016: 197-204 - [c2]Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu:
Composite Correlation Quantization for Efficient Multimodal Retrieval. SIGIR 2016: 579-588 - 2015
- [c1]Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan:
Learning Transferable Features with Deep Adaptation Networks. ICML 2015: 97-105
Informal and Other Publications
- 2024
- [i30]Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma, Wenjun Zeng:
Correlation-Embedded Transformer Tracking: A Single-Branch Framework. CoRR abs/2401.12743 (2024) - 2022
- [i29]Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng:
Correlation-Aware Deep Tracking. CoRR abs/2203.01666 (2022) - [i28]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 abs/2204.10760 (2022) - [i27]Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao:
Revealing the Dark Secrets of Masked Image Modeling. CoRR abs/2205.13543 (2022) - [i26]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 abs/2205.14141 (2022) - [i25]Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu:
On Data Scaling in Masked Image Modeling. CoRR abs/2206.04664 (2022) - [i24]Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao:
Could Giant Pretrained Image Models Extract Universal Representations? CoRR abs/2211.02043 (2022) - [i23]Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang:
Deep Model Assembling. CoRR abs/2212.04129 (2022) - 2021
- [i22]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 abs/2103.14030 (2021) - [i21]Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong:
Group-Free 3D Object Detection via Transformers. CoRR abs/2104.00678 (2021) - [i20]Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu:
Self-Supervised Learning with Swin Transformers. CoRR abs/2105.04553 (2021) - [i19]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 abs/2105.05838 (2021) - [i18]Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu:
Video Swin Transformer. CoRR abs/2106.13230 (2021) - [i17]Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai:
Bootstrap Your Object Detector via Mixed Training. CoRR abs/2111.03056 (2021) - [i16]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 abs/2111.09883 (2021) - [i15]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 abs/2111.09886 (2021) - [i14]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 abs/2112.14757 (2021) - 2020
- [i13]Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin:
Cross-Iteration Batch Normalization. CoRR abs/2002.05712 (2020) - [i12]Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu:
Negative Margin Matters: Understanding Margin in Few-shot Classification. CoRR abs/2003.12060 (2020) - [i11]Yihong Chen, Yue Cao, Han Hu, Liwei Wang:
Memory Enhanced Global-Local Aggregation for Video Object Detection. CoRR abs/2003.12063 (2020) - [i10]Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu:
Disentangled Non-Local Neural Networks. CoRR abs/2006.06668 (2020) - [i9]Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu:
Parametric Instance Classification for Unsupervised Visual Feature Learning. CoRR abs/2006.14618 (2020) - [i8]Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong:
A Closer Look at Local Aggregation Operators in Point Cloud Analysis. CoRR abs/2007.01294 (2020) - [i7]Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu:
RepPoints V2: Verification Meets Regression for Object Detection. CoRR abs/2007.08508 (2020) - [i6]Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu:
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. CoRR abs/2011.10043 (2020) - [i5]Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
Global Context Networks. CoRR abs/2012.13375 (2020) - 2019
- [i4]Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang:
Deep Triplet Quantization. CoRR abs/1902.00153 (2019) - [i3]Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu:
Spatial-Temporal Relation Networks for Multi-Object Tracking. CoRR abs/1904.11489 (2019) - [i2]Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu:
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond. CoRR abs/1904.11492 (2019) - 2016
- [i1]Yue Cao, Mingsheng Long, Jianmin Wang:
Correlation Hashing Network for Efficient Cross-Modal Retrieval. CoRR abs/1602.06697 (2016)
Coauthor Index
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