Mingtao Fu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Mingtao Fu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Joseph Redmon
  4. Cong Yao
  5. Piotr Doll'ar
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Xiang Bai
  9. Shaoqing Ren
  10. Karen Simonyan

Who trusts Mingtao Fu overall

  1. Xue Yang
  2. Junchi Yan
  3. Wentong Li
  4. Jiaming Han

Papers from Mingtao Fu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers