Sung-eui Yoon

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Sung-eui Yoon trusts

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

  1. Moses Charikar (in Computer Vision and Pattern Recognition)
  2. Kristen Grauman (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  4. Brian Kulis (in Computer Vision and Pattern Recognition)
  5. Svetlana Lazebnik (in Computer Vision and Pattern Recognition)
  6. Antonio Torralba (in Computer Vision and Pattern Recognition)
  7. Piotr Indyk (in Information Retrieval & Search)
  8. Cordelia Schmid (in Computer Vision and Pattern Recognition)
  9. David G. Lowe (in Computer Vision and Pattern Recognition)
  10. Rob Fergus (in Computer Vision and Pattern Recognition)

Who trusts Sung-eui Yoon

  1. Jingkuan Song (in Computer Vision and Pattern Recognition)
  2. Heng Tao Shen (in Computer Vision and Pattern Recognition)
  3. Jie Zhou (in Computer Vision and Pattern Recognition)
  4. Jiwen Lu (in Computer Vision and Pattern Recognition)

Papers from Sung-eui Yoon's perspective

Ordered by how strongly the researchers Sung-eui Yoon trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
  2. Video Google: a text retrieval approach to object matching in videos
  3. Product Quantization for Nearest Neighbor Search
  4. ImageNet classification with deep convolutional neural networks
  5. Similarity estimation techniques from rounding algorithms
  6. Small codes and large image databases for recognition
  7. Locality-sensitive hashing scheme based on p-stable distributions
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. A new approach to interdomain routing based on secure multi-party computation
  10. An Algorithm for Finding Best Matches in Logarithmic Expected Time

Their papers