Yazan Abu Farha

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 548 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Yazan Abu Farha trusts overall

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

  1. Hilde Kuehne
  2. Kaiming He
  3. Andrew Zisserman
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. João Carreira
  7. Alex Krizhevsky
  8. Alireza Fathi
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Yazan Abu Farha overall

  1. Antonino Furnari
  2. Fadime Sener
  3. Giovanni Maria Farinella
  4. Chen Sun
  5. Rohit Girdhar
  6. Angela Yao
  7. Kristen Grauman
  8. Tushar Nagarajan
  9. Ivan Rodin
  10. Fabien Baradel

Papers from Yazan Abu Farha's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers