Xun Sun

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Xun Sun trusts overall

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

  1. Heiko Hirschmüller
  2. Daniel Scharstein
  3. Richard Szeliski
  4. Kaiming He
  5. Carlo Tomasi
  6. Kuk-jin Yoon
  7. Andreas Klaus
  8. Ke Zhang

Who trusts Xun Sun overall

  1. Jure Zbontar
  2. Yann LeCun
  3. Yasutaka Furukawa
  4. Linchao Bao

Papers from Xun Sun's perspective

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

  1. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adaptive Support-Weight Approach for Correspondence Search (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  5. Gradient-based learning applied to document recognition
  6. Bilateral filtering for gray and color images
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers