Ali Harakeh

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 5 papers; trusts 668 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Harakeh trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Yann LeCun
  8. Radford M. Neal
  9. Karen Simonyan
  10. Ilya Sutskever

Who trusts Ali Harakeh overall

  1. Shaoshuai Shi
  2. Yisheng He
  3. Zetong Yang
  4. Yunpeng Zhang
  5. Rui Qian
  6. Eduardo Arnold
  7. Tianwei Yin
  8. Braden Hurl
  9. Yanwei Li
  10. Yingfei Liu

Papers from Ali Harakeh's perspective

Ordered by how strongly the researchers Ali Harakeh 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. 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. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers