Feng Zhu

Computer Vision and Pattern Recognition · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) · 2010–2023

A researcher in the Science corpus: 13 papers; trusts 1,512 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Zhu trusts overall

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

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

Who trusts Feng Zhu overall

  1. Jiangpeng He
  2. Chris Dongjoo Kim
  3. Weifeng Ge
  4. Luis Villaseñor Pineda
  5. Sachin Mehta
  6. Luchen Liu
  7. Hokuto Kagaya
  8. Liang Li
  9. Huiyu Wang
  10. Julien Pourcel

Papers from Feng Zhu's perspective

Ordered by how strongly the researchers Feng Zhu 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  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. Learning Multiple Layers of Features from Tiny Images

Their papers