Hongen Liao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hongen Liao trusts

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

  1. David G. Lowe (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Antonio Torralba (in Computer Vision and Pattern Recognition)

Papers from Hongen Liao's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. Multiple View Geometry in Computer Vision
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  5. Unsupervised Learning of Depth and Ego-Motion from Video
  6. Instance Normalization: The Missing Ingredient for Fast Stylization
  7. Structure-from-Motion Revisited
  8. ORB-SLAM: A Versatile and Accurate Monocular SLAM System
  9. LIFT: Learned Invariant Feature Transform
  10. SUN3D: A Database of Big Spaces Reconstructed Using SfM and Object Labels

Their papers