Hassan Akbari

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 367 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hassan Akbari trusts overall

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

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

Who trusts Hassan Akbari overall

  1. Xiangning Chen
  2. Sara Atito Ali Ahmed
  3. Jue Wang
  4. Roman Bachmann
  5. Andrey Guzhov
  6. Yuying Ge
  7. Chao Tao
  8. Rohit Girdhar
  9. Xizhou Zhu
  10. Shen Yan

Papers from Hassan Akbari's perspective

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

Their papers