Amrita Mohan

Computer Vision and Pattern Recognition · with Dwivedi · 2020

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

Subfields

Whom Amrita Mohan trusts overall

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

  1. Liang-Chieh Chen
  2. Charlotte Pelletier
  3. John E. Ball
  4. Ross B. Girshick
  5. Kaiming He
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. George Papandreou
  9. Shaoqing Ren
  10. Ilya Sutskever

Papers from Amrita Mohan's perspective

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

Their papers