Hamid Rezatofighi

Computer Vision and Pattern Recognition · with Cai · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 262 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hamid Rezatofighi trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Ross B. Girshick
  6. Jia Deng
  7. Diederik P. Kingma
  8. Yoshua Bengio
  9. Alexey Dosovitskiy
  10. David G. Lowe

Papers from Hamid Rezatofighi's perspective

Ordered by how strongly the researchers Hamid Rezatofighi 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions

Their papers