Daniel Thalmann

Computer Vision and Pattern Recognition · 2001–2016

A researcher in the Science corpus: 5 papers; trusts 135 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Thalmann trusts overall

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

  1. Cem Keskin
  2. Julian Besag
  3. Jamie Shotton
  4. Yann LeCun
  5. Geoffrey E. Hinton
  6. Jonathan Tompson
  7. Markus Oberweger
  8. Alex Krizhevsky
  9. Joseph Tighe
  10. Danhang Tang

Who trusts Daniel Thalmann overall

  1. Bernhard Schölkopf
  2. Jan Peters
  3. Christina Heinze-Deml
  4. Stefan Bauer
  5. Nicolai Meinshausen
  6. Jim Woodward
  7. Francesco Locatello
  8. David F. Hendry
  9. I. Katz
  10. Tony Ward

Papers from Daniel Thalmann's perspective

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

Their papers