Jae Shin Yoon

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jae Shin Yoon trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Navneet Dalal
  4. Yann LeCun
  5. Shaoqing Ren
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Mohamed Aly
  9. Evan Shelhamer

Papers from Jae Shin Yoon's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  5. Gradient-based learning applied to document recognition
  6. Histograms of oriented gradients for human detection
  7. Microsoft COCO: Common Objects in Context
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers