Mike Liao

Computer Vision and Pattern Recognition · 2016–2018

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mike Liao trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Antonio Torralba (in Computer Vision and Pattern Recognition)
  6. Trevor Darrell (in Computer Vision and Pattern Recognition)
  7. Fisher Yu (in Computer Vision and Pattern Recognition)
  8. Jitendra Malik (in Computer Vision and Pattern Recognition)
  9. Karen Simonyan (in Computer Vision and Pattern Recognition)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Mike Liao's perspective

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

  1. ImageNet: A large-scale hierarchical image database
  2. Microsoft COCO: Common Objects in Context
  3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  4. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  5. Learning Deep Features for Scene Recognition using Places Database
  6. The Cityscapes Dataset for Semantic Urban Scene Understanding
  7. ImageNet classification with deep convolutional neural networks
  8. LabelMe: A Database and Web-Based Tool for Image Annotation
  9. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers