Keping Yu

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Keping Yu 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. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  6. Piotr Doll'ar (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)
  8. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  9. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  10. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from Keping Yu's perspective

Ordered by how strongly the researchers Keping Yu 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 classification with deep convolutional neural networks
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Microsoft COCO: Common Objects in Context
  5. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  6. Densely Connected Convolutional Networks
  7. Fast R-CNN
  8. SSD: Single Shot MultiBox Detector
  9. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  10. Feature Pyramid Networks for Object Detection

Their papers