Thibaut Weise

Computer Vision and Pattern Recognition · 2007–2011

A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Thibaut Weise trusts overall

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

  1. Michael E. Tipping
  2. Volker Blanz
  3. Hao Li
  4. Pedro F. Felzenszwalb
  5. Li Zhang
  6. Charles M. Bishop
  7. Geoffrey J. McLachlan
  8. Daniel Scharstein
  9. Andreas Klaus
  10. Paul A. Viola

Who trusts Thibaut Weise overall

  1. Hao Li
  2. Gabriele Fanelli
  3. Michael Zollhöfer
  4. Justus Thies
  5. Ira Kemelmacher-Shlizerman
  6. Timo Bolkart
  7. Song Zhang
  8. Mao Ye
  9. Juergen Gall
  10. Sofien Bouaziz

Papers from Thibaut Weise's perspective

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

Their papers