R. Omar Chavez-Garcia

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom R. Omar Chavez-Garcia trusts overall

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

  1. J. Urgen Schmidhuber
  2. Ken Perlin
  3. Dan Claudiu Ciresan
  4. Trevor J. Hastie
  5. Radford M. Neal
  6. Ueli Meier
  7. Alessandro Giusti
  8. Leo Breiman
  9. Geoffrey E. Hinton
  10. Yann LeCun

Who trusts R. Omar Chavez-Garcia overall

  1. Ananye Agarwal
  2. Ziwen Zhuang
  3. Ashish Kumar

Papers from R. Omar Chavez-Garcia's perspective

Ordered by how strongly the researchers R. Omar Chavez-Garcia trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers