Kuang-Yu Chang

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Kuang-Yu Chang trusts overall

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

  1. Yun Fu
  2. Chih-Jen Lin
  3. Guo-qing Guo
  4. Zhi-Hua Zhou
  5. Yu Zhang
  6. Amnon Shashua
  7. Ling Li
  8. Thomas S. Huang
  9. Andreas Lanitis
  10. Xin Geng

Who trusts Kuang-Yu Chang overall

  1. Wenzhi Cao
  2. Xin Geng
  3. Changsheng Li
  4. Ke Chen
  5. Zhenxing Niu
  6. Vahid Mirjalili
  7. K. Smith‐Miles
  8. Shaogang Gong
  9. Qingshan Liu
  10. Mo Zhou

Papers from Kuang-Yu Chang's perspective

Ordered by how strongly the researchers Kuang-Yu Chang 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers