Jingeun Lee

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingeun Lee trusts overall

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

  1. Ross B. Girshick

Papers from Jingeun Lee's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. ImageNet classification with deep convolutional neural networks
  4. Fast R-CNN
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. SGDR: Stochastic Gradient Descent with Warm Restarts
  8. SSD: Single Shot MultiBox Detector
  9. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers