Aleksey Golovinskiy

Computer Vision and Pattern Recognition · 2006–2009

A researcher in the Science corpus: 4 papers; trusts 67 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Aleksey Golovinskiy trusts overall

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

  1. Yuri Boykov
  2. Sagi Katz
  3. Rong Liu
  4. Jianbo Shi
  5. Ayellet Tal
  6. Michael Garland
  7. Jitendra Malik
  8. G. Funka-Lea
  9. Bastian Leibe
  10. Lior Shapira

Who trusts Aleksey Golovinskiy overall

  1. Yaoqing Yang
  2. Yiru Shen
  3. Scott Drew Pendleton
  4. Anh Viet Nguyen
  5. Chen Feng
  6. Truc Le
  7. Daniel Maturana
  8. Oliver Mattausch
  9. Timo Hackel
  10. Liangliang Nan

Papers from Aleksey Golovinskiy's perspective

Ordered by how strongly the researchers Aleksey Golovinskiy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers