Ke Zhang

Computer Vision and Pattern Recognition · with Lafruit · 2009

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ke Zhang trusts overall

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

  1. Olga Veksler
  2. Vladimir Kolmogorov
  3. Daniel Scharstein
  4. Paul A. Viola
  5. Richard Szeliski
  6. Kuk-jin Yoon
  7. Sing Bing Kang
  8. Oliver J. Woodford
  9. Ramin Zabih
  10. Michael J. Jones

Who trusts Ke Zhang overall

  1. Christoph Rhemann
  2. Xiaoyang Guo
  3. Xiaodong Gu
  4. Xing Mei
  5. Jure Zbontar
  6. Nikolaus Mayer
  7. Asmaa Hosni
  8. Kai Yang
  9. Zhiwen Fan
  10. Yann LeCun

Papers from Ke Zhang's perspective

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

  1. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  2. Robust Real-Time Face Detection
  3. ImageNet classification with deep convolutional neural networks
  4. Handling occlusions in dense multi-view stereo (Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers