Bahjat Kawar

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 2 papers; trusts 182 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Bahjat Kawar trusts overall

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

  1. Diederik P. Kingma
  2. Jonathan Ho
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Tero Karras
  6. Kaiming He
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ilya Sutskever
  10. Prafulla Dhariwal

Who trusts Bahjat Kawar overall

  1. Hyungjin Chung
  2. Chenshuang Zhang
  3. Tao Yang
  4. Zongsheng Yue
  5. Xintao Wang
  6. Kai Zhang
  7. Ye Yuan
  8. Ziwei Luo
  9. Ben Fei
  10. Luhuan Wu

Papers from Bahjat Kawar's perspective

Ordered by how strongly the researchers Bahjat Kawar 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. 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. GENERATIVE ADVERSARIAL NETS
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers