Vivek Kumar Singh

Computer Vision and Pattern Recognition · with Chen · 2005–2017

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Vivek Kumar Singh trusts overall

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

  1. Inderjit S. Dhillon
  2. Geoffrey E. Hinton
  3. Christian Szegedy
  4. Alex Krizhevsky
  5. Ian J. Goodfellow
  6. Yoshua Bengio
  7. Alex P. Zijdenbos
  8. Yangqing Jia
  9. Ross B. Girshick
  10. Yann LeCun

Who trusts Vivek Kumar Singh overall

  1. Yong He
  2. Alan C. Evans
  3. Zhang John Chen
  4. Stephan Alaniz
  5. Simon Fristed Eskildsen

Papers from Vivek Kumar Singh's perspective

Ordered by how strongly the researchers Vivek Kumar 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. Going deeper with convolutions
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers