Tomás Pevný

Computer Vision and Pattern Recognition · 2007–2016

A researcher in the Science corpus: 9 papers; trusts 123 researchers and is trusted by 77 researchers here, as inferred from the citation graph.

Subfields

Whom Tomás Pevný trusts overall

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

  1. Jessica J. Fridrich
  2. Niels Provos
  3. Phil Sallee
  4. Jaka Demsar
  5. Siwei Lyu
  6. C. Burges
  7. Chih-Jen Lin
  8. Tin Kam Ho
  9. Christopher K. I. Williams
  10. Bernhard Schölkopf

Who trusts Tomás Pevný overall

  1. Jessica J. Fridrich
  2. Jan Kodovský
  3. Vojtech Holub
  4. Bin Li
  5. Matthew Christopher Stamm
  6. Tomáš Filler
  7. Patrick Bas
  8. Ru Zhang
  9. Alessandro Piva
  10. Jiwu Huang

Papers from Tomás Pevný's perspective

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

Their papers