Argho Sarkar

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Argho Sarkar trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Ilya Sutskever
  5. Christian Szegedy
  6. Liang-Chieh Chen
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Karen Simonyan
  10. Yann LeCun

Papers from Argho Sarkar's perspective

Ordered by how strongly the researchers Argho Sarkar 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers