Wenjing Geng

Computer Vision and Pattern Recognition · 2014

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

Subfields

Whom Wenjing Geng trusts overall

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

  1. Lihi Zelnik-Manor
  2. Ayellet Tal

Who trusts Wenjing Geng overall

  1. Deng-Ping Fan

Papers from Wenjing Geng's perspective

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

  1. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
  2. Context-aware saliency detection (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition)
  3. Learning to Detect A Salient Object
  4. Global contrast based salient region detection (Computer Vision and Pattern Recognition)
  5. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
  6. What Makes a Patch Distinct? (2013 IEEE Conference on Computer Vision and Pattern Recognition)
  7. Automatic foveation for video compression using a neurobiological model of visual attention (IEEE Transactions on Image Processing)
  8. Secrets of optical flow estimation and their principles
  9. Unsupervised extraction of visual attention objects in color images (IEEE transactions on circuits and systems for video technology (Print))
  10. Depth Matters: Influence of Depth Cues on Visual Saliency (European Conference on Computer Vision)

Their papers