Chunlin Wu

Computer Vision and Pattern Recognition · 2010

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Chunlin Wu trusts overall

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

  1. Stanley J. Osher
  2. Ola Marius Lysaker
  3. Tony F. Chan
  4. Antonin Chambolle
  5. Junfeng Yang
  6. Xavier Bresson
  7. Tom Goldstein
  8. Ivar Ekeland
  9. Yu-Li You
  10. Yilun Wang

Who trusts Chunlin Wu overall

  1. Laurent Condat
  2. Daichi Kitahara
  3. Andres A Contreras Marcillo

Papers from Chunlin Wu's perspective

Ordered by how strongly the researchers Chunlin Wu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Nonlinear total variation based noise removal algorithms
  2. An Algorithm for Total Variation Minimization and Applications (Journal of Mathematical Imaging and Vision)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. An Iterative Regularization Method for Total Variation-Based Image Restoration
  7. The Split Bregman Method for L1-Regularized Problems
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. High-Order Total Variation-Based Image Restoration (SIAM Journal on Scientific Computing)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers