Mayank Vatsa

Computer Vision and Pattern Recognition · 2008–2019

A researcher in the Science corpus: 6 papers; trusts 105 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Mayank Vatsa trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. John G. Daugman
  3. Vladimir Naumovich Vapni
  4. Li Ma
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. James E. Fowler
  8. Anil K. Jain
  9. Tien-Ping Tan
  10. David J. Field

Who trusts Mayank Vatsa overall

  1. Jongyoon Kim
  2. Ramachandra Raghavendra

Papers from Mayank Vatsa's perspective

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

Their papers