Liang-Tien Chia

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 4 papers; trusts 609 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Liang-Tien Chia trusts overall

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

  1. David G. Lowe
  2. Andrew Zisserman
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Svetlana Lazebnik
  6. Alex Krizhevsky
  7. Honglak Lee
  8. Josef Sivic
  9. Kaiming He
  10. Yoshua Bengio

Who trusts Liang-Tien Chia overall

  1. Shenghua Gao
  2. Jun Yu
  3. Wei Zhong
  4. Lei Zhang
  5. Huchuan Lu
  6. Yanming Guo

Papers from Liang-Tien Chia's perspective

Ordered by how strongly the researchers Liang-Tien Chia 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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers