Feng Zhang

Computer Vision and Pattern Recognition · with Zhu · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 288 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Jimmy Ba
  7. Christian Szegedy
  8. Jonathan Tompson
  9. Ross B. Girshick
  10. Diederik P. Kingma

Who trusts Feng Zhang overall

  1. Thomas Verelst
  2. Yucheng Chen
  3. Zigang Geng
  4. Jianping Gou
  5. Sen Yang
  6. Hongsuk Choi
  7. Chaoqiang Zhao
  8. Ce Zheng
  9. Huajun Liu
  10. Tinne Tuytelaars

Papers from Feng Zhang's perspective

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

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

Their papers