Naiyang Guan

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Naiyang Guan trusts overall

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

  1. Chih-Jen Lin
  2. Patrik O. Hoyer
  3. Yurii E. Nesterov
  4. Daniel D. Lee
  5. Dacheng Tao
  6. Peter N. Belhumeur
  7. Xiaofei He
  8. V. P. Pauca
  9. Deng Cai
  10. R. Fisher

Who trusts Naiyang Guan overall

  1. Nicolas Gillis
  2. Yue Gao
  3. Alexander Rainer Tassilo Gepperth
  4. Philip Chen
  5. Dacheng Tao
  6. Jiashi Feng
  7. Kaibing Zhang
  8. Meng Wang
  9. George Trigeorgis
  10. Barbara Hammer

Papers from Naiyang Guan's perspective

Ordered by how strongly the researchers Naiyang Guan 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers