Karthik Govindappa

Computer Vision and Pattern Recognition · 2026

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Karthik Govindappa trusts overall

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

  1. James Philbin
  2. Josef Sivic
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Kaiming He
  8. Herv'e J'egou
  9. Yoshua Bengio
  10. David G. Lowe

Papers from Karthik Govindappa's perspective

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

Their papers