Wenjin Chen

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenjin Chen trusts overall

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

  1. Ron Kohavi
  2. I. Borg
  3. Manik Varma
  4. Corinna Cortes
  5. Svetlana Lazebnik
  6. Cordelia Schmid
  7. Josh Tenenbaum
  8. Andrew Zisserman
  9. Robert Martin Haralick

Papers from Wenjin Chen's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers