Hongchen Wang

Computer Vision and Pattern Recognition · 2008

A researcher in the Science corpus: 1 paper; trusts 93 researchers and is trusted by 463 researchers here, as inferred from the citation graph.

Subfields

Whom Hongchen Wang trusts overall

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

  1. Ivan Laptev
  2. Li Fei-Fei
  3. Cordelia Schmid
  4. Paul A. Viola
  5. Navneet Dalal
  6. Alexei A. Efros
  7. Piotr Doll'ar
  8. Andrew Zisserman
  9. Geoffrey E. Hinton
  10. Kaiming He

Who trusts Hongchen Wang overall

  1. Tae-Kyun Kim
  2. Michael S. Ryoo
  3. Jake K. Aggarwal
  4. Abhinav Kumar Gupta
  5. Li Fei-Fei
  6. Luc Van Gool
  7. Yang Wang
  8. Alireza Fathi
  9. Greg Mori
  10. Jingen Liu

Papers from Hongchen Wang's perspective

Ordered by how strongly the researchers Hongchen Wang 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  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