Narayani Wagle

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Narayani Wagle trusts overall

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

  1. Kaiming He
  2. Tero Karras
  3. Iroon Polytechniou
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ziwei Liu
  7. Ross B. Girshick
  8. Diederik P. Kingma
  9. X. Zhang

Papers from Narayani Wagle's perspective

Ordered by how strongly the researchers Narayani Wagle 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers