Chieh-Chih Bob Wang

Computer Vision and Pattern Recognition · 2002–2007

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Chieh-Chih Bob Wang trusts overall

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

  1. Sebastian Thrun
  2. John J. Leonard
  3. Wolfram Burgard
  4. David John Cameron MacKay
  5. Dieter Fox
  6. H. F. Durrant-Whyte
  7. Szymon Rusinkiewicz
  8. José E. Guivant
  9. Michael Montemerlo
  10. C. Bregler

Who trusts Chieh-Chih Bob Wang overall

  1. Sebastian Thrun
  2. Muhamad Risqi U. Saputra
  3. Michael Montemerlo
  4. Nicola Bellotto
  5. Andrew Markham
  6. Anna Petrovskaya
  7. Asma Azim
  8. Olivier Aycard
  9. R. García
  10. Berta Bescós

Papers from Chieh-Chih Bob Wang's perspective

Ordered by how strongly the researchers Chieh-Chih Bob 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Et al
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers