Pew-Thian Yap

Computer Vision and Pattern Recognition · 2003–2020

A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Pew-Thian Yap trusts overall

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

  1. Chih-Jen Lin
  2. Christos Davatzikos

Who trusts Pew-Thian Yap overall

  1. Weizhuo Wang
  2. Heung-Il Suk
  3. J. Mottershead

Papers from Pew-Thian Yap's perspective

Ordered by how strongly the researchers Pew-Thian Yap trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. TensorFlow: A system for large-scale machine learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers