Gurkirt Singh

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 768 researchers and is trusted by 67 researchers here, as inferred from the citation graph.

Subfields

Whom Gurkirt Singh trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Diederik P. Kingma
  8. Cordelia Schmid
  9. Yoshua Bengio
  10. Yann LeCun

Who trusts Gurkirt Singh overall

  1. Jun Liu
  2. Amir Shahroudy
  3. Luiza Mici
  4. Pichao Wang
  5. Mengyuan Liu
  6. Fida Mohammad Thoker
  7. Adnan Al Alwani
  8. Jacopo Cavazza
  9. German Ignacio Parisi
  10. Yusuke Goutsu

Papers from Gurkirt Singh's perspective

Ordered by how strongly the researchers Gurkirt 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. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  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