Assaf Hoogi

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Assaf Hoogi trusts overall

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

  1. Scott Doyle
  2. Trevor J. Hastie
  3. Hui Zou
  4. Jerome H. Friedman
  5. David Arthur
  6. Lovedeep Gondara
  7. Robert Martin Haralick
  8. Anant Madabhushi
  9. Yan Xu

Papers from Assaf Hoogi's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. ImageNet classification with deep convolutional neural networks
  3. Fully convolutional networks for semantic segmentation
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Backpropagation Applied to Handwritten Zip Code Recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers