Karan Singh

Computational Mechanics · with Kalogerakis · 2009–2010

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Karan Singh trusts overall

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

  1. Sagi Katz
  2. Jerome H. Friedman
  3. Jamie Shotton
  4. Rong Liu
  5. Szymon Rusinkiewicz
  6. Ayellet Tal
  7. Sanjiv Kumar
  8. John D. Lafferty

Who trusts Karan Singh overall

  1. Siddhartha Chaudhuri
  2. Evangelos Kalogerakis
  3. Vladimir G. Kim
  4. Truc Le
  5. Ameesh Makadia
  6. M. Ovsjanikov
  7. Li Yi
  8. Leonidas J. Guibas
  9. Yunhai Wang

Papers from Karan Singh's perspective

Ordered by how strongly the researchers Karan Singh 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers