Saeed Anwar

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 9 papers; trusts 1,701 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Saeed Anwar trusts overall

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

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

Who trusts Saeed Anwar overall

  1. Syed Waqas Zamir
  2. Aditya Arora
  3. Salman Hameed Khan
  4. Munawar Hayat
  5. Fahad Shahbaz Khan
  6. Chong Mou
  7. Wanjie Sun
  8. Liangyu Chen
  9. Ming-Hsuan Yang
  10. Zhendong Wang

Papers from Saeed Anwar's perspective

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

Their papers