Yue Cao 曹越

Researcher
Visual Computing Group
Microsoft Research Asia

caoyue10 AT gmail DOT com

Publications [Google Scholar]

(Interns or Students, *Equal Contribution)

2020

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie*, Yutong Lin*, Zheng Zhang, Yue Cao, Steve Lin, Han Hu
Arxiv 2020 [PDF]

Parametric Instance Classification for Unsupervised Visual Feature Learning
Yue Cao*, Zhenda Xie*, Bin Liu*, Yutong Lin, Zheng Zhang, Han Hu
Neural Information Processing Systems (NeurIPS), 2020 [PDF] [Post@Synced]

RepPoints V2: Verification Meets Regression for Object Detection
Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Steve Lin, Han Hu
Neural Information Processing Systems (NeurIPS), 2020 [PDF] [Code@Github] [Post@CVer]

Cross-Iteration Batch Normalization
Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Steve Lin
Arxiv 2020 [PDF] [Code@Github]

A Closer Look at Local Aggregation Operators in Point Cloud Analysis
Ze Liu*, Han Hu*, Yue Cao, Zheng Zhang, Xin Tong
Europe Conference on Computer Vision (ECCV), 2020 [PDF] [Code@Github]

Disentangled Non-Local Neural Networks
Minghao Yin*, Zhuliang Yao*, Yue Cao, Xiu Li, Zheng Zhang, Steve Lin, Han Hu
Europe Conference on Computer Vision (ECCV), 2020 [PDF] [Code@Seg] [Code@Det]

Negative Margin Matters: Understanding Margin in Few-shot Classification
Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu
Europe Conference on Computer Vision (ECCV), 2020 [PDF] [Code@Github] Spotlight

Memory Enhanced Global-Local Aggregation for Video Object Detection
Yihong Chen, Yue Cao, Han Hu, Liwei Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 [PDF] [Code@Github] [Post@MSRA]

VL-BERT: Pre-training of Generic Visual-Linguistic Representations
Weijie Su*, Xizhou Zhu*, Yue Cao, Bin Li, Lewei Lu, Furu Wei, Jifeng Dai
International Conference on Learning Representations (ICLR), 2020 [PDF] [Code@Github] [Post@Synced]


2019

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao*, Jiarui Xu*, Steve Lin, Fangyun Wei, Han Hu
International Conference on Computer Vision Workshop on Neural Architects (ICCVW), 2019
[PDF] [Code@Github] [Code@mmdet] [Post@Synced] Best Paper Award

Spatial-Temporal Relation Networks for Multi-Object Tracking
Jiarui Xu, Yue Cao, Zheng Zhang, Han Hu
International Conference on Computer Vision (ICCV), 2019 [PDF]

Max-Margin Hamming Hashing
Rong Kang, Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
International Conference on Computer Vision (ICCV), 2019 [PDF] [Code@Github]


2018

Deep Triplet Quantization
Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang
ACM Multimedia Conference (ACMMM), 2018 [PDF] [Code@Github] Oral

Cross-Modal Hamming Hashing
Yue Cao*, Bin Liu*, Mingsheng Long, Jianmin Wang
Europe Conference on Computer Vision (ECCV), 2018 [PDF]

Transferable Representation Learning with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018 [PDF]

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
Yue Cao*, Bin Liu*, Mingsheng Long, Jianmin Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF] [Code@Github]

Deep Cauchy Hashing for Hamming Space Retrieval
Yue Cao, Mingsheng Long, Bin Liu, Jianmin Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [PDF] [Code@Github]

Unsupervised Domain Adaptation with Distribution Matching Machines
Yue Cao, Mingsheng Long, Jianmin Wang
AAAI Conference on Artificial Intelligence (AAAI), 2018 [PDF]


2017

Correlation Hashing Network for Efficient Cross-Modal Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Philip S. Yu
28th British Machine Vision Conference (BMVC), 2017 [PDF]

Deep Visual-Semantic Quantization for Efficient Image Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 [PDF] [Code@Github]

Collective Deep Quantization for Efficient Cross-Modal Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
AAAI Conference on Artificial Intelligence (AAAI), 2017 [PDF] [Code@Github]


2016

Deep Visual-Semantic Hashing for Cross-Modal Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016 [PDF]

Composite Correlation Quantization for Efficient Multimodal Retrieval
Mingsheng Long, Yue Cao, Jianmin Wang, Philip S. Yu
ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2016 [PDF][Code]

Correlation Autoencoder Hashing for Supervised Cross-Modal Search
Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu
ACM International Conference on Multimedia Retrieval (ICMR), 2016 [PDF] [Slides] Oral

Deep Learning of Transferable Representation for Scalable Domain Adaptation
Mingsheng Long, Jianmin Wang, Yue Cao, Jiaguang Sun, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016 [PDF]

Deep Quantization Network for Efficient Image Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Han Zhu, Qingfu Wen
AAAI Conference on Artificial Intelligence (AAAI), 2016 [PDF] [Slides] [Code@Github] Oral

Deep Hashing Network for Efficient Similarity Retrieval
Han Zhu, Mingsheng Long, Jianmin Wang, Yue Cao
AAAI Conference on Artificial Intelligence (AAAI), 2016 [PDF] [Code@Github]

Cleaning Timestamps with Temporal Constraints
Shaoxu Song, Yue Cao, Jianmin Wang
International Conference on Very Large Data Bases (VLDB), 2016 [PDF] Oral


2015

Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan
International Conference on Machine Learning (ICML), 2015 [PDF] [Code@Github]