Lin Yuan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lin Yuan trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Ming-Hsuan Yang (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  7. Karen Simonyan (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  10. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Lin Yuan's perspective

Ordered by how strongly the researchers Lin Yuan 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: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Online Object Tracking: A Benchmark
  5. Exploiting the Circulant Structure of Tracking-by-Detection with Kernels (European Conference on Computer Vision)
  6. ImageNet classification with deep convolutional neural networks
  7. Accurate Scale Estimation for Robust Visual Tracking
  8. Visual object tracking using adaptive correlation filters (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition)
  9. Staple: Complementary Learners for Real-Time Tracking (Computer Vision and Pattern Recognition)
  10. MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization

Their papers