Bin Liu

Computer Vision and Pattern Recognition · with Hu · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 519 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it; #15,926 of 21,575 by trust here, #12,419 by citations
• Artificial Intelligence — 64 citations into it
• Representation & Self-Supervised Learning — 46 citations into it
• Optimization & Training — 15 citations into it
• Model Architectures — 8 citations into it
• Media Technology — 7 citations into it

Whom Bin Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Kaiming He
5. Ross B. Girshick
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Oriol Vinyals
10. Andrew Zisserman

Who trusts Bin Liu overall

1. Shiv Ram Dubey
2. Tatiana Likhomanenko
3. Xiaohua Zhai
4. Yixiong Zou
5. Erkun Yang
6. Da-Wei Zhou
7. Han-Jia Ye
8. Cheng Deng
9. Xiaosong Wang
10. Chenggang Clarence Yan

Papers from Bin Liu's perspective

Ordered by how strongly the researchers Bin Liu trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Negative Margin Matters: Understanding Margin in Few-shot Classification (2020) — 380 citations
• Deep Cauchy Hashing for Hamming Space Retrieval (2018) — 336 citations
• Deep Metric Transfer for Label Propagation with Limited Annotated Data (2018) — 68 citations