Vladimir Vezhnevets

Computer Vision and Pattern Recognition · 2003–2005

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Vladimir Vezhnevets trusts overall

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

  1. Yuri Boykov

Who trusts Vladimir Vezhnevets overall

  1. Won-Dong Jang
  2. Ning Xu
  3. Lei Bi
  4. José Bernal
  5. Jie-Zhi Cheng
  6. Chang-Su Kim
  7. Guotai Wang
  8. Praveen K. Kakumanu
  9. Brian L. Price
  10. Scott D. Cohen

Papers from Vladimir Vezhnevets's perspective

Ordered by how strongly the researchers Vladimir Vezhnevets 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. Normalized cuts and image segmentation
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. Long Short-Term Memory
  7. Microsoft COCO: Common Objects in Context
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. Densely Connected Convolutional Networks
  10. An experimental comparison of min-cut/max- flow algorithms for energy minimization in vision

Their papers