Yu.G. Degtyarev

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu.G. Degtyarev trusts overall

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

  1. David G. Lowe
  2. Philipp Krahenbuhl

Papers from Yu.G. Degtyarev's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. KinectFusion: Real-time dense surface mapping and tracking
  6. PatchMatch: a randomized correspondence algorithm for structural image editing
  7. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers