Zelian Wen

Computer Vision and Pattern Recognition · 2017

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

Subfields

Whom Zelian Wen trusts overall

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

  1. Matthijs C. Dorst
  2. Krystian Mikolajczyk
  3. Herbert Bay
  4. Stefan Leutenegger

Papers from Zelian Wen's perspective

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

  1. A performance evaluation of local descriptors
  2. SURF: Speeded Up Robust Features (European Conference on Computer Vision)
  3. Distinctive Image Features from Scale-Invariant Keypoints Abstract by Matthijs Dorst Based on the paper by
  4. BRISK: Binary Robust invariant scalable keypoints (Vision)
  5. Uniform Robust Scale-Invariant Feature Matching for Optical Remote Sensing Images (IEEE Transactions on Geoscience and Remote Sensing)
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. SAR-SIFT: A SIFT-Like Algorithm for SAR Images (IEEE Transactions on Geoscience and Remote Sensing)
  9. ImageNet classification with deep convolutional neural networks
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers