Barun Singh

Computer Vision and Pattern Recognition · 2006

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

Subfields

Whom Barun Singh trusts overall

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

  1. Yair Weiss

Who trusts Barun Singh overall

  1. Jin-shan Pan
  2. Jaesung Rim
  3. Yancheng Bai

Papers from Barun Singh's perspective

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

  1. Deriving intrinsic images from image sequences
  2. What Is the Goal of Sensory Coding?
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers