Ben-Tzion Bobrovsky

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ben-Tzion Bobrovsky trusts overall

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

  1. Emmanouil Z. Psarakis
  2. Kaiming He
  3. Jianbo Shi
  4. Ross B. Girshick
  5. Alex Bewley
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Anton Milan
  9. Shaoqing Ren
  10. Xingyi Zhou

Papers from Ben-Tzion Bobrovsky's perspective

Ordered by how strongly the researchers Ben-Tzion Bobrovsky trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Et al
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers