Hassan Abu Alhaija

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 778 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hassan Abu Alhaija trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Ross B. Girshick
  7. Andrew Zisserman
  8. Yoshua Bengio
  9. Yann LeCun
  10. Jifeng Dai

Who trusts Hassan Abu Alhaija overall

  1. Matthew Veres
  2. Andreas Geiger
  3. Katja Schwarz
  4. Jiageng Mao
  5. Matthias Müller
  6. Siva Karthik Mustikovela
  7. Michael Niemeyer
  8. Yi Zhu
  9. Medhat A. Moussa
  10. Sergey I. Nikolenko

Papers from Hassan Abu Alhaija's perspective

Ordered by how strongly the researchers Hassan Abu Alhaija 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers