Arjun Chandrasekaran

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 5 papers; trusts 269 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arjun Chandrasekaran trusts overall

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

  1. Geoffrey E. Hinton
  2. Karen Simonyan
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Andrew Zisserman
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Arjun Chandrasekaran overall

  1. Peter Hase
  2. Vivian Lai
  3. Duri Long
  4. Mohit Bansal
  5. Rowan Zellers
  6. Guy Tevet

Papers from Arjun Chandrasekaran's perspective

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

Their papers