Chia-Wen Lin

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2005–2012

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Chia-Wen Lin trusts overall

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

  1. Frédéric Dufaux
  2. Gregory K. Wallace
  3. Bastian Goldlücke
  4. Michael Elad

Who trusts Chia-Wen Lin overall

  1. Ruoteng Li
  2. Robby T. Tan
  3. Xueyang Fu
  4. Chris H. Bahnsen
  5. Wenhan Yang
  6. He Zhang
  7. Loong Fah Cheong
  8. Yi-Lei Chen
  9. Lei Zhu
  10. Yu Luo

Papers from Chia-Wen Lin's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Graph-Based Visual Saliency
  7. Vector quantization and signal compression
  8. ImageNet: A large-scale hierarchical image database
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Saliency Detection: A Spectral Residual Approach (2007 IEEE Conference on Computer Vision and Pattern Recognition)

Their papers