Feng Wu

Computer Vision and Pattern Recognition · 2001–2022

A researcher in the Science corpus: 19 papers; trusts 1,317 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Wu trusts overall

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

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

Who trusts Feng Wu overall

  1. Yao Wang
  2. V. Padmanabhan
  3. Ren Yang
  4. Siwei Ma
  5. Helen J. Wang
  6. Amy R. Reibman
  7. Shuai Huo
  8. Mai Xu
  9. Changchang Liu
  10. Kamyar Nazeri

Papers from Feng Wu's perspective

Ordered by how strongly the researchers Feng Wu 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. Long Short-Term Memory
  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. Going deeper with convolutions

Their papers