Fan Feng

Computer Vision and Pattern Recognition · with Chen · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Fan Feng trusts overall

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

  1. Mohinder Malhotra
  2. Zhou Wang

Who trusts Fan Feng overall

  1. Wenhan Yang
  2. Yonghua Zhang

Papers from Fan Feng's perspective

Ordered by how strongly the researchers Fan Feng 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. Fully convolutional networks for semantic segmentation
  4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  5. Caffe: Convolutional Architecture for Fast Feature Embedding
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers