Yue Cao

According to our database, Yue Cao authored at least 52 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Correlation-Embedded Transformer Tracking: A Single-Branch Framework.

Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma, Wenjun Zeng

CoRR, 2024

2023

Global Context Networks.

Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

On Data Scaling in Masked Image Modeling.

Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Revealing the Dark Secrets of Masked Image Modeling.

Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Deep Model Assembling.

Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang

CoRR, 2022

Could Giant Pretrained Image Models Extract Universal Representations?

Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao

CoRR, 2022

Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature Distillation.

Yixuan Wei, Han Hu, Zhenda Xie, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo

CoRR, 2022

iCAR: Bridging Image Classification and Image-text Alignment for Visual Recognition.

Yixuan Wei, Yue Cao, Zheng Zhang, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo

CoRR, 2022

Could Giant Pre-trained Image Models Extract Universal Representations?

Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

Correlation-Aware Deep Tracking.

Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Video Swin Transformer.

Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Cleaning timestamps with temporal constraints.

Shaoxu Song, Ruihong Huang, Yue Cao, Jianmin Wang

VLDB J., 2021

A Simple Baseline for Zero-shot Semantic Segmentation with Pre-trained Vision-language Model.

Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai

CoRR, 2021

Breaking Shortcut: Exploring Fully Convolutional Cycle-Consistency for Video Correspondence Learning.

Yansong Tang, Zhenyu Jiang, Zhenda Xie, Yue Cao, Zheng Zhang, Philip H. S. Torr, Han Hu

CoRR, 2021

Self-Supervised Learning with Swin Transformers.

Zhenda Xie, Yutong Lin, Zhuliang Yao, Zheng Zhang, Qi Dai, Yue Cao, Han Hu

CoRR, 2021

Bootstrap Your Object Detector via Mixed Training.

Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Batch Normalization for Vision Transformers.

Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Group-Free 3D Object Detection via Transformers.

Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cross-Iteration Batch Normalization.

Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning.

Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

RepPoints v2: Verification Meets Regression for Object Detection.

Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Parametric Instance Classification for Unsupervised Visual Feature learning.

Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Disentangled Non-local Neural Networks.

Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu

Proceedings of the Computer Vision - ECCV 2020, 2020

A Closer Look at Local Aggregation Operators in Point Cloud Analysis.

Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong

Proceedings of the Computer Vision - ECCV 2020, 2020

Negative Margin Matters: Understanding Margin in Few-Shot Classification.

Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu

Proceedings of the Computer Vision - ECCV 2020, 2020

Memory Enhanced Global-Local Aggregation for Video Object Detection.

Yihong Chen, Yue Cao, Han Hu, Liwei Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Transferable Representation Learning with Deep Adaptation Networks.

Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan

IEEE Trans. Pattern Anal. Mach. Intell., 2019

GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond.

Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, Han Hu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Spatial-Temporal Relation Networks for Multi-Object Tracking.

Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Maximum-Margin Hamming Hashing.

Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Deep Triplet Quantization.

Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Cross-Modal Hamming Hashing.

Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang

Proceedings of the Computer Vision - ECCV 2018, 2018

HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN.

Yue Cao, Bin Liu, Mingsheng Long, Jianmin Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Cauchy Hashing for Hamming Space Retrieval.

Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Unsupervised Domain Adaptation With Distribution Matching Machines.

Yue Cao, Mingsheng Long, Jianmin Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Deep Visual-Semantic Quantization for Efficient Image Retrieval.

Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Correlation Hashing Network for Efficient Cross-Modal Retrieval.

Yue Cao, Mingsheng Long, Jianmin Wang

Proceedings of the British Machine Vision Conference 2017, 2017

Collective Deep Quantization for Efficient Cross-Modal Retrieval.

Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Deep Learning of Transferable Representation for Scalable Domain Adaptation.

Mingsheng Long, Jianmin Wang, Yue Cao, Jia-Guang Sun, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2016

Cleaning Timestamps with Temporal Constraints.

Shaoxu Song, Yue Cao, Jianmin Wang

Proc. VLDB Endow., 2016

Composite Correlation Quantization for Efficient Multimodal Retrieval.

Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Correlation Autoencoder Hashing for Supervised Cross-Modal Search.

Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu

Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Deep Visual-Semantic Hashing for Cross-Modal Retrieval.

Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Deep Hashing Network for Efficient Similarity Retrieval.

Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Deep Quantization Network for Efficient Image Retrieval.

Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Learning Transferable Features with Deep Adaptation Networks.

Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan

Proceedings of the 32nd International Conference on Machine Learning, 2015