Prasun Roy

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Prasun Roy trusts overall

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

  1. Lina Karam
  2. Yann LeCun
  3. Alex Krizhevsky
  4. Christian Szegedy
  5. Geoffrey E. Hinton
  6. Samuel F. Dodge
  7. Yoshua Bengio
  8. Kaiming He
  9. Alexey Kurakin
  10. Sara Sabour

Who trusts Prasun Roy overall

  1. Zheda Mai
  2. Bernhard Schölkopf

Papers from Prasun Roy's perspective

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

Their papers