Anurag Mukkara

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anurag Mukkara trusts overall

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

  1. Alex Krizhevsky
  2. Yu-hsin Chen
  3. Song Han
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Ilya Sutskever

Papers from Anurag Mukkara's perspective

Ordered by how strongly the researchers Anurag Mukkara trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Fully convolutional networks for semantic segmentation
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers