Ting Liu

Computer Vision and Pattern Recognition · with Chen · 2015–2023

A researcher in the Science corpus: 5 papers; trusts 927 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Ting Liu trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Yann LeCun
  7. Diederik P. Kingma
  8. Andrew Zisserman
  9. Yoshua Bengio
  10. Ilya Sutskever

Who trusts Ting Liu overall

  1. Bowen Cheng
  2. Huiyu Wang
  3. Liang-Chieh Chen
  4. Davide Moltisanti
  5. Daochang Liu
  6. Qihang Yu
  7. Sujoy Paul
  8. Jianfeng Feng
  9. Dima Damen
  10. Sanath Narayan

Papers from Ting Liu's perspective

Ordered by how strongly the researchers Ting Liu 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. 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. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers