Guangchun Luo

Computer Vision and Pattern Recognition · 2012–2016

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guangchun Luo trusts overall

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

  1. Shen-En Qian
  2. David L. Donoho
  3. Kostadin Dabov
  4. A. Buades
  5. Qiangqiang Yuan
  6. Matteo Maggioni
  7. Alessandro Foi
  8. Ian T. Jolliffe
  9. Iain M. Johnstone
  10. Karen O. Egiazarian

Who trusts Guangchun Luo overall

  1. Jaechang Nam
  2. Peng He

Papers from Guangchun Luo's perspective

Ordered by how strongly the researchers Guangchun Luo 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. A non-local algorithm for image denoising
  3. ImageNet classification with deep convolutional neural networks
  4. A Survey on Transfer Learning
  5. Video denoising by sparse 3D transform-domain collaborative filtering (European Signal Processing Conference)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Domain Adaptation with Structural Correspondence Learning
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers