Romain Thibaux

Computer Vision and Pattern Recognition · 2004–2010

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom Romain Thibaux trusts overall

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

  1. Yee Whye Teh
  2. Michael I. Jordan
  3. Michael Collins
  4. Eric R. Ziegel
  5. Matthew J. Beal
  6. Andrew E. Johnson
  7. David M. Blei
  8. Marius Muja
  9. David G. Lowe

Who trusts Romain Thibaux overall

  1. Mikhail Yurochkin
  2. Michael I. Jordan
  3. Yee Whye Teh
  4. Lawrence Carin
  5. Kurt T. Miller
  6. Samuel J. Gershman
  7. John William Paisley
  8. Slav Petrov
  9. Xuejun Liao
  10. Percy Liang

Papers from Romain Thibaux's perspective

Ordered by how strongly the researchers Romain Thibaux 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers