Brendan Chywl

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Brendan Chywl trusts overall

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

  1. Yann LeCun
  2. Andrew Zisserman
  3. Mark Everingham
  4. Yunchao Gong
  5. Karen Simonyan
  6. Jérôme Berclaz
  7. Alex Krizhevsky
  8. Ross B. Girshick
  9. Geoffrey E. Hinton
  10. Wujie Wen

Who trusts Brendan Chywl overall

  1. Liquan Zhao

Papers from Brendan Chywl's perspective

Ordered by how strongly the researchers Brendan Chywl trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers