Fang Zhang

Computer Vision and Pattern Recognition · with Ai · 2017

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 Fang Zhang trusts

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

  1. Trevor Darrell (in Computer Vision and Pattern Recognition)
  2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  3. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  4. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  5. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  6. Yann LeCun (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)
  8. Jeff Donahue (in Computer Vision and Pattern Recognition)
  9. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  10. Li Fei-Fei (in Computer Vision and Pattern Recognition)

Papers from Fang Zhang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  6. Fully convolutional networks for semantic segmentation
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  9. Gradient-based learning applied to document recognition
  10. LIBLINEAR: A Library for Large Linear Classification

Their papers