Aharon Bar Hillel

Computer Vision and Pattern Recognition · with Alchanatis · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aharon Bar Hillel trusts overall

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

  1. F. Dennis
  2. Karen Simonyan
  3. Shaoqing Ren
  4. Suchet Bargoti

Papers from Aharon Bar Hillel's perspective

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

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

Their papers