Zeyu Feng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 393 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #10,602 of 21,575 by trust here, #15,529 by citations
• Artificial Intelligence — 28 citations into it; #16,774 of 35,345 by trust here, #23,731 by citations
• Representation & Self-Supervised Learning — 23 citations into it; #1,756 of 3,145 by trust here, #2,558 by citations

Whom Zeyu Feng trusts overall

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

1. Alex Krizhevsky
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. David G. Lowe
5. Kaiming He
6. Yoshua Bengio
7. Ilya Sutskever
8. Jeff Donahue
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Zeyu Feng overall

1. Yuki M. Asano
2. Ishan Misra
3. Simon Jenni
4. Wouter Van Gansbeke
5. Mandela Patrick
6. L. V. D. van der Maaten
7. Christian Rupprecht
8. Hailin Jin
9. Andrea Vedaldi
10. Simon Vandenhende

Papers from Zeyu Feng's perspective

Ordered by how strongly the researchers Zeyu Feng 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Self-Supervised Representation Learning by Rotation Feature Decoupling (2019) — 215 citations