Nicholas I. Kolkin

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 3 papers; trusts 155 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Nicholas I. Kolkin trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Leon A. Gatys
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Andrew Zisserman
  8. Tomas Mikolov
  9. Kaiming He
  10. Ross B. Girshick

Who trusts Nicholas I. Kolkin overall

  1. Taesung Park
  2. Peter Schaldenbrand
  3. Omer Bar-Tal
  4. Narek Tumanyan
  5. Xiaolei Wu
  6. Bahjat Kawar
  7. Jun-Yan Zhu
  8. Alexei A. Efros
  9. Giannis Nikolentzos
  10. Michal Geyer

Papers from Nicholas I. Kolkin's perspective

Ordered by how strongly the researchers Nicholas I. Kolkin 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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