Sze‐Teng Liong

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sze‐Teng Liong trusts overall

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

  1. Xiaobai Li
  2. Christopher Zach
  3. Davis E. King
  4. Wen-Jing Yan
  5. Johan A. K. Suykens
  6. Navneet Dalal
  7. Thomas Pock
  8. Akshay Asthana
  9. Tomas Pfister
  10. Amin Ullah

Papers from Sze‐Teng Liong's perspective

Ordered by how strongly the researchers Sze‐Teng Liong 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers