Fangchen Liu

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 172 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Fangchen Liu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Fisher Yu
  4. Shaoqing Ren
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Piotr Doll'ar
  8. Yann LeCun
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Fangchen Liu overall

  1. Luc Van Gool
  2. Trevor Darrell
  3. Xiaodan Liang
  4. Vladlen Koltun
  5. Jitendra Malik
  6. Zhenguo Li
  7. Andrew Zisserman
  8. Andrea Vedaldi
  9. Hang Xu
  10. Wei Zhang

Papers from Fangchen Liu's perspective

Ordered by how strongly the researchers Fangchen Liu 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Microsoft COCO: Common Objects in Context
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers