Frank Yeong-Chyang Shih

Computer Vision and Pattern Recognition · 2005–2007

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Frank Yeong-Chyang Shih trusts overall

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

  1. Jianping Fan
  2. John F. Canny
  3. Weng Cho Chew
  4. Scott Weiss
  5. Jianbo Shi
  6. Pedro F. Felzenszwalb
  7. Ahmed K. Elmagarmid

Who trusts Frank Yeong-Chyang Shih overall

  1. Jessica J. Fridrich

Papers from Frank Yeong-Chyang Shih's perspective

Ordered by how strongly the researchers Frank Yeong-Chyang Shih 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. Gradient-based learning applied to document recognition
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers