Yulin Duan

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yulin Duan trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Yulin Duan's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Learning Spatiotemporal Features with 3D Convolutional Networks
  4. 3D Convolutional Neural Networks for Human Action Recognition
  5. Deep learning from temporal coherence in video
  6. Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
  7. Improving deep neural networks for LVCSR using rectified linear units and dropout
  8. Support Vector Machine Active Learning with Applications to Text Classification
  9. Gradient-based learning applied to document recognition
  10. Principal Component Analysis

Their papers