Wansen Feng

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 3 papers; trusts 167 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Wansen Feng trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ilya Sutskever
  6. Piotr Doll'ar
  7. Shaoqing Ren
  8. Yann LeCun
  9. Yoshua Bengio
  10. Tsung-Yi Lin

Who trusts Wansen Feng overall

  1. Yuanming Shi

Papers from Wansen Feng's perspective

Ordered by how strongly the researchers Wansen 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. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  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