Aditya Arun

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 279 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aditya Arun trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Karen Simonyan
  4. Andrew Zisserman
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Shaoqing Ren
  8. M. Pawan Kumar
  9. Yann LeCun
  10. Yoshua Bengio

Papers from Aditya Arun's perspective

Ordered by how strongly the researchers Aditya Arun 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (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. Going deeper with convolutions

Their papers