Bin Wu

Computer Vision and Pattern Recognition · with Li · 2018

A researcher in the Science corpus: 1 paper; trusts 184 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it; #16,948 of 21,575 by trust here, #12,689 by citations
• Artificial Intelligence — 23 citations into it; #27,649 of 35,345 by trust here, #19,018 by citations
• Representation & Self-Supervised Learning — 16 citations into it

Whom Bin Wu trusts overall

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

1. Ross B. Girshick
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Kaiming He
6. Yoshua Bengio
7. Ruslan Salakhutdinov
8. Ilya Sutskever
9. Yann LeCun
10. Karen Simonyan

Who trusts Bin Wu overall

1. Eli Schwartz
2. Yogesh Kumar Balaji
3. Jack W. Rae
4. Andrei A. Rusu
5. Limeng Qiao

Papers from Bin Wu's perspective

Ordered by how strongly the researchers Bin Wu 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. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Deep Meta-Learning: Learning to Learn in the Concept Space (2018) — 134 citations