Nilesh Kulkarni

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 344 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Nilesh Kulkarni trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Jitendra Malik
  10. X. Zhang

Who trusts Nilesh Kulkarni overall

  1. Chaozheng Wu
  2. Justin Johnson
  3. William S. Peebles
  4. Mark Anderson
  5. Jitendra Malik
  6. Christoph Feichtenhofer

Papers from Nilesh Kulkarni's perspective

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

Their papers