Abdul Waheed

Computer Vision and Pattern Recognition · with Goyal · 2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Abdul Waheed trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Yoshua Bengio
  8. François Chollet
  9. Kaiming He
  10. Quoc V. Le

Who trusts Abdul Waheed overall

  1. Fatemeh Haghighat

Papers from Abdul Waheed's perspective

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

Their papers