Mallikarjun B R

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mallikarjun B R trusts overall

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

  1. Matthew D. Zeiler
  2. Andrew Zisserman
  3. Geoffrey E. Hinton
  4. Ayush Kumar Tewari
  5. Justus Thies
  6. Jason M. Saragih
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Kaiming He
  10. Michael Zollhöfer

Papers from Mallikarjun B R's perspective

Ordered by how strongly the researchers Mallikarjun B R 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. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. GENERATIVE ADVERSARIAL NETS

Their papers