Alex Rav-Acha

Computer Vision and Pattern Recognition · 2001–2010

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Alex Rav-Acha trusts overall

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

  1. Jianbo Shi
  2. Miroslav Fiedler
  3. Jitendra Malik
  4. Matthijs C. Dorst
  5. George Wolberg
  6. Andrew Y. Ng
  7. Lubomir D. Bourdev
  8. Stella X. Yu
  9. Lihi Zelnik-Manor
  10. Jue Wang

Who trusts Alex Rav-Acha overall

  1. Xue Bai
  2. Sina Farsiu
  3. Guillermo Sapiro
  4. Patrick Vandewalle
  5. Wenxian Yang
  6. M. Dirk Robinson
  7. Brandon M. Smith
  8. Christoph Rhemann
  9. Soheil Darabi

Papers from Alex Rav-Acha's perspective

Ordered by how strongly the researchers Alex Rav-Acha 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers