Sharmili Roy

Computer Vision and Pattern Recognition · 2002–2019

A researcher in the Science corpus: 2 papers; trusts 158 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sharmili Roy trusts overall

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

  1. Kaiming He
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Yarin Gal
  7. Ross B. Girshick
  8. Liang Zheng
  9. Jia Deng
  10. Diederik P. Kingma

Papers from Sharmili Roy's perspective

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

Their papers