Ming Zhang

Computer Vision and Pattern Recognition · with Gunturk · 2008

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ming Zhang trusts overall

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

  1. Kostadin Dabov
  2. Raanan Fattal
  3. Michael Elad
  4. Alessandro Foi
  5. Bin Yu
  6. Maneesh Agrawala
  7. David L. Donoho
  8. Levent Sendur
  9. Vladimir Katkovnik
  10. Martin Vetterli

Who trusts Ming Zhang overall

  1. B. K. Shreyamsha Kumar

Papers from Ming Zhang's perspective

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

  1. Adaptive wavelet thresholding for image denoising and compression (IEEE Transactions on Image Processing)
  2. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Multiscale shape and detail enhancement from multi-light image collections (ACM Transactions on Graphics)
  5. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (IEEE Transactions on Image Processing)
  6. Image quality assessment: from error visibility to structural similarity
  7. ImageNet classification with deep convolutional neural networks
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers