Lin Zhang

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2010–2015

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Zhang trusts overall

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

  1. A. Bovik
  2. Hamid R. Sheikh
  3. David J. Field
  4. Anush K. Moorthy
  5. Zhou Wang
  6. Anish Mittal
  7. Michele A. Saad
  8. Donald F. Specht
  9. Nikolay N. Ponomarenko
  10. Adams Wai-Kin Kong

Who trusts Lin Zhang overall

  1. Ke Gu
  2. Kede Ma
  3. Jongyoo Kim
  4. Guangtao Zhai
  5. Xiongkuo Min
  6. Lei Zhang
  7. Weixia Zhang
  8. Sanghoon Lee
  9. Dacheng Tao
  10. Jianyi Wang

Papers from Lin Zhang's perspective

Ordered by how strongly the researchers Lin 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. ImageNet: A large-scale hierarchical image database
  4. Image quality assessment: from error visibility to structural similarity
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers