Nipun Batra

Computer Vision and Pattern Recognition · 2014–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nipun Batra trusts overall

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

  1. J. Kolter
  2. Zoubin Ghahramani
  3. Matthew J. Johnson
  4. David F. Kotz
  5. Alex Krizhevsky
  6. Michael I. Jordan
  7. Oliver Parson
  8. Yucheng Low
  9. Geoffrey E. Hinton
  10. Alan S. Willsky

Who trusts Nipun Batra overall

  1. Jack Kelly
  2. Niklas Büscher
  3. Christian Beckel
  4. William John Knottenbelt

Papers from Nipun Batra's perspective

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

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

Their papers