Anupam Agrawal

Computer Vision and Pattern Recognition · with Rautaray · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 472 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Anupam Agrawal trusts overall

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

  1. Ivan Laptev
  2. Robert E. Schapire
  3. Geoffrey E. Hinton
  4. Eamonn J. Keogh
  5. Alex Krizhevsky
  6. Kaiming He
  7. Trevor Darrell
  8. Daniel Weinland
  9. Ross B. Girshick
  10. Yoav Freund

Who trusts Anupam Agrawal overall

  1. Djamila Romaissa Beddiar
  2. Brahim Nini
  3. Jing Zhang
  4. Mohammad Sabokrou

Papers from Anupam Agrawal's perspective

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

Their papers