Omer Tov

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 5 papers; trusts 451 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Omer Tov trusts overall

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

  1. Tero Karras
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. Rameen Abdal
  7. Yoshua Bengio
  8. Yujun Shen
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Omer Tov overall

  1. A. B. Impact
  2. Yuval Alaluf
  3. Rinon Gal
  4. Yotam Nitzan
  5. Wenhu Chen
  6. Zongze Wu
  7. Gwanghyun Kim
  8. Chenshuang Zhang
  9. Bahjat Kawar
  10. Omri Avrahami

Papers from Omer Tov's perspective

Ordered by how strongly the researchers Omer Tov 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers