Haiwen Feng

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 301 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Haiwen Feng trusts overall

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

  1. Kaiming He
  2. Karen Simonyan
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Volker Blanz
  6. Alex Krizhevsky
  7. Anh Tuan Tran
  8. Elad Richardson
  9. Diederik P. Kingma
  10. Adrian Bulat

Who trusts Haiwen Feng overall

  1. Michael J. Black
  2. Timo Bolkart

Papers from Haiwen Feng's perspective

Ordered by how strongly the researchers Haiwen Feng 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers