J. Kulkarni

2000

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

Whom J. Kulkarni trusts overall

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

  1. Stéphane Mallat

Who trusts J. Kulkarni overall

  1. Hyun-Han Kwon
  2. Upmanu Lall
  3. M. Bayazit
  4. A. Khalil

Papers from J. Kulkarni's perspective

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

  1. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Histograms of oriented gradients for human detection
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. This PDF file includes: Materials and Methods
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. Backpropagation Applied to Handwritten Zip Code Recognition

Their papers