Bin Liu

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 11

Top Topics

Quantization Scheme

Subband Image Coding

Label Propagation

Top Venues

Publications

Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu
Parametric Instance Classification for Unsupervised Visual Feature learning. 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)
Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu
Parametric Instance Classification for Unsupervised Visual Feature 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)
Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang
Deep Triplet Quantization. CoRR (2019)
Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
Deep Metric Transfer for Label Propagation with Limited Annotated Data. ICCV Workshops (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, 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)
Bin Liu, Zhirong Wu, Han Hu, Stephen Lin
Deep Metric Transfer for Label Propagation with Limited Annotated Data. CoRR (2018)