Fenghua Mei

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fenghua Mei trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Trevor Darrell (in Computer Vision and Pattern Recognition)
  4. Ronan Collobert (in Computer Vision and Pattern Recognition)
  5. Pedro H. O. Pinheiro (in Computer Vision and Pattern Recognition)
  6. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  7. Andrea Vedaldi (in Computer Vision and Pattern Recognition)
  8. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  9. Jonathan Long (in Computer Vision and Pattern Recognition)
  10. Evan Shelhamer (in Computer Vision and Pattern Recognition)

Papers from Fenghua Mei's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Fully convolutional networks for semantic segmentation
  6. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Selective Search for Object Recognition
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers