Bharat Singh

Computer Vision and Pattern Recognition · with Davis · 2016–2018

A researcher in the Science corpus: 9 papers; trusts 1,469 researchers and is trusted by 1,297 researchers here, as inferred from the citation graph.

Subfields

Whom Bharat Singh trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Shaoqing Ren
  7. David G. Lowe
  8. Tsung-Yi Lin
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Bharat Singh overall

  1. Mahyar Najibi
  2. Yanghao Li
  3. Hei Law
  4. Thorsten Hoeser
  5. Larry S. Davis
  6. Hao Yang
  7. Xuangeng Chu
  8. Xingyi Zhou
  9. Tao Kong
  10. Qiang Chen

Papers from Bharat Singh's perspective

Ordered by how strongly the researchers Bharat 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  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