Ankur Gupta

Computer Vision and Pattern Recognition · with Little · 2014

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Ankur Gupta trusts overall

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

  1. Daniel Weinland
  2. Aaron F. Bobick
  3. Heng Wang
  4. Rémi Ronfard
  5. James W. Davis
  6. Edmond Boyer
  7. Alexander Kläser
  8. Cordelia Schmid

Who trusts Ankur Gupta overall

  1. Hossein Rahmani
  2. Ajmal Saeed Mian
  3. Mir Rayat Imtiaz Hossain
  4. Long Zhao
  5. James J. Little
  6. Julieta Martinez
  7. Xi Peng

Papers from Ankur Gupta's perspective

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

Their papers