H. Hong

Computer Vision and Pattern Recognition · with Kim · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Hong trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Trevor Darrell (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Bill Triggs (in Computer Vision and Pattern Recognition)
  5. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from H. Hong's perspective

Ordered by how strongly the researchers H. Hong 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. Histograms of oriented gradients for human detection
  4. Microsoft COCO: Common Objects in Context
  5. Fully convolutional networks for semantic segmentation
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  8. Fast R-CNN
  9. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  10. SSD: Single Shot MultiBox Detector

Their papers