Kuldeep Kulkarni

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kuldeep Kulkarni trusts overall

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

  1. E.J. Candes
  2. Gitta Kutyniok
  3. Evan Shelhamer
  4. Alex Krizhevsky
  5. David L. Donoho
  6. Richard Baraniuk
  7. Ross B. Girshick
  8. Geoffrey E. Hinton
  9. Kaiming He
  10. Terence Tao

Who trusts Kuldeep Kulkarni overall

  1. Jian Zhang
  2. Viraj Shah
  3. Christopher A. Metzler
  4. Chong Mou
  5. Amin Jourabloo
  6. Matthew Tancik
  7. Jo Schlemper
  8. Yan Yang
  9. Jiajia Guo
  10. Alice Lucas

Papers from Kuldeep Kulkarni's perspective

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

Their papers