Minchul Shin

Computer Vision and Pattern Recognition · with Lee · 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 Minchul Shin trusts overall

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

  1. Ross B. Girshick

Papers from Minchul Shin's perspective

Ordered by how strongly the researchers Minchul Shin 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. Fast R-CNN
  4. SGDR: Stochastic Gradient Descent with Warm Restarts
  5. SSD: Single Shot MultiBox Detector
  6. ImageNet classification with deep convolutional neural networks
  7. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. You Only Look Once: Unified, Real-Time Object Detection
  10. Gradient-based learning applied to document recognition

Their papers