Songtao Liu

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 1,277 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

Whom Songtao Liu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Shaoqing Ren
  6. Tsung-Yi Lin
  7. Geoffrey E. Hinton
  8. Christian Szegedy
  9. X. Zhang
  10. Andrew Zisserman

Who trusts Songtao Liu overall

  1. Juan R. Terven
  2. Zheng Ge
  3. Chien-Yao Wang
  4. Diana-Margarita Córdova-Esparza
  5. Xingkui Zhu
  6. Di Huang
  7. Momina Liaqat Ali
  8. Xiaodong Cun
  9. Xun Cheng
  10. Xuangeng Chu

Papers from Songtao Liu's perspective

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

Their papers