Amit H. Bermano

Computer Vision and Pattern Recognition · 2020–2023

A researcher in the Science corpus: 9 papers; trusts 1,103 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Amit H. Bermano trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Tero Karras
  7. Yann LeCun
  8. Ilya Sutskever
  9. Christian Szegedy
  10. Karen Simonyan

Who trusts Amit H. Bermano overall

  1. Yuval Alaluf
  2. Or Patashnik
  3. Zongze Wu
  4. Yotam Nitzan
  5. Tianyi Wei
  6. Omer Tov
  7. Daniel Cohen-Or
  8. Rinon Gal
  9. Elad Richardson
  10. Yuhao Zhu

Papers from Amit H. Bermano's perspective

Ordered by how strongly the researchers Amit H. Bermano 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. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers