Abbas Sadat

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 73 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Abbas Sadat trusts overall

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

  1. Wenjie Luo
  2. Sebastian Thrun
  3. Raquel Urtasun
  4. Geoffrey E. Hinton
  5. Binh Yang
  6. Kaiming He
  7. Alex Krizhevsky
  8. Ruslan Salakhutdinov
  9. Fisher Yu
  10. Sergio Casas

Who trusts Abbas Sadat overall

  1. Pranav Singh Chib
  2. Li Chen
  3. Jiageng Mao
  4. Shengchao Hu
  5. Peng Wu
  6. Yicheng Liu
  7. Pravendra Singh
  8. Bo Jiang
  9. Yu-Quan Wang

Papers from Abbas Sadat's perspective

Ordered by how strongly the researchers Abbas Sadat 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  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