Sunglok Choi

Computer Vision and Pattern Recognition · 2009–2017

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Sunglok Choi trusts overall

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

  1. Philip H. S. Torr
  2. David Nistér
  3. Matthijs C. Dorst
  4. Ondřej Chum
  5. Jiri Matas
  6. Rahul Raguram
  7. Andrew Zisserman
  8. Jan-Michael Frahm
  9. David G. Lowe

Who trusts Sunglok Choi overall

  1. Dan Feldman

Papers from Sunglok Choi's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet: A large-scale hierarchical image database
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Histograms of oriented gradients for human detection
  6. ImageNet classification with deep convolutional neural networks
  7. Object Detection with Discriminatively Trained Part Based Models
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers