Ritesh Singh

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ritesh Singh trusts overall

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

  1. Fatih Murat Porikli
  2. Paul A. Viola
  3. Christopher K. I. Williams
  4. Michael J. Jones
  5. David G. Lowe

Who trusts Ritesh Singh overall

  1. Matthew D. Zeiler
  2. Rob Fergus

Papers from Ritesh Singh's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Going deeper with convolutions
  8. Integral histogram: a fast way to extract histograms in Cartesian spaces (Computer Vision and Pattern Recognition)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Their papers