Nipun Wijerathne

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 114 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nipun Wijerathne trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Navneet Dalal
  6. Matthijs C. Dorst
  7. Ilya Sutskever
  8. Yann LeCun
  9. Svetlana Lazebnik
  10. Yoshua Bengio

Who trusts Nipun Wijerathne overall

  1. Billy Pik Lik Lau
  2. Wayes Tushar

Papers from Nipun Wijerathne's perspective

Ordered by how strongly the researchers Nipun Wijerathne 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers