Ilya Belevich

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ilya Belevich trusts overall

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

  1. Christoph Sommer
  2. Yuri Boykov
  3. Graham W. Taylor
  4. Radhakrishna Achanta
  5. Aurélien Lucchi
  6. Johannes E. Schindelin
  7. Benjamin Schmid
  8. Hanchuan Peng
  9. Vladimir Kolmogorov
  10. Kevin Smith

Papers from Ilya Belevich's perspective

Ordered by how strongly the researchers Ilya Belevich 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers