Yao Cheng

Computer Vision and Pattern Recognition · with Feng · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yao Cheng trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Josef Sivic (in Computer Vision and Pattern Recognition)

Papers from Yao Cheng's perspective

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

  1. Et al
  2. Video Google: a text retrieval approach to object matching in videos
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. All About VLAD (2013 IEEE Conference on Computer Vision and Pattern Recognition)
  6. Near-Optimal Hashing Algorithms for Approximate Nearest Neighbor in High Dimensions
  7. The devil is in the details: an evaluation of recent feature encoding methods
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. A Large-Scale Analysis of the Security of Embedded Firmwares (USENIX Security Symposium)

Their papers