Tinghuai Wang

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Tinghuai Wang trusts overall

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

  1. Daniel Cremers
  2. Carsten Rother
  3. Leo J. Grady
  4. Tony F. Chan
  5. Mikaël Rousson
  6. Yuri Boykov
  7. Andrew Blake
  8. Xue Bai
  9. Chunming Li
  10. David R. Martin

Who trusts Tinghuai Wang overall

  1. Dim P. Papadopoulos
  2. Jasper R. R. Uijlings
  3. Suyog Dutt Jain
  4. Vittorio Ferrari
  5. Holger Caesar
  6. Federico Perazzi
  7. Carlos Arteta
  8. Kristen Grauman
  9. Victor S. Lempitsky
  10. Klaus Greff

Papers from Tinghuai Wang's perspective

Ordered by how strongly the researchers Tinghuai 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. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers