Alex J. Champandard

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Alex J. Champandard trusts overall

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

  1. Leon A. Gatys
  2. Aaron Hertzmann
  3. Alexander S. Ecker
  4. Charles E. Jacobs
  5. Matthias Bethge
  6. Karen Simonyan
  7. Nuria Oliver
  8. Brian Curless

Who trusts Alex J. Champandard overall

  1. Amir Atapour-Abarghouei
  2. Leon A. Gatys
  3. Luke Metz
  4. Fujun Luan
  5. Yongcheng Jing
  6. Dongdong Chen
  7. Yijun Li
  8. Shuai Yang
  9. Toby P. Breckon
  10. Roman Novak

Papers from Alex J. Champandard's perspective

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

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

Their papers