Xiaochen Yuan

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaochen Yuan trusts overall

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

  1. David G. Lowe
  2. Jessica J. Fridrich
  3. Christopher Evans
  4. Xunyu Pan
  5. Weiqi Luo
  6. Sevinc Bayram

Papers from Xiaochen Yuan's perspective

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

  1. Detection of Copy-Move Forgery in Digital Images
  2. Object recognition from local scale-invariant features
  3. A Sorted Neighborhood Approach for Detecting Duplicated Regions in Image Forgeries Based on DWT and SVD (IEEE International Conference on Multimedia and Expo)
  4. An efficient and robust method for detecting copy-move forgery (IEEE International Conference on Acoustics, Speech, and Signal Processing)
  5. Notes on the OpenSURF Library
  6. Robust Detection of Region-Duplication Forgery in Digital Image (International Conference on Pattern Recognition)
  7. Region Duplication Detection Using Image Feature Matching (IEEE Transactions on Information Forensics and Security)
  8. Exposing digital forgeries by detecting traces of resampling
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers