Teng Zhang

Computer Vision and Pattern Recognition · with Lerman · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Teng Zhang trusts overall

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

  1. Paul Tseng
  2. Paul S. Bradley
  3. Jeffrey Ho
  4. René Vidal
  5. Michel Ledoux
  6. Yi Ma
  7. Olvi L. Mangasarian
  8. Christophe Croux
  9. E.J. Candes

Who trusts Teng Zhang overall

  1. Gilad Lerman
  2. M. Soltanolkotabi

Papers from Teng Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Uncertainty principles and ideal atomic decomposition
  4. Lambertian reflectance and linear subspaces (Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001)
  5. Robust principal component analysis?
  6. k-Plane Clustering (Journal of Global Optimization)
  7. Gradient-based learning applied to document recognition
  8. Clustering appearances of objects under varying illumination conditions (2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.)
  9. Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions
  10. Rank-Sparsity Incoherence for Matrix Decomposition (SIAM Journal on Optimization)

Their papers