Xinyu Yi

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xinyu Yi trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Raquel Urtasun (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)
  4. Jitendra Malik (in Computer Vision and Pattern Recognition)
  5. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  6. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  7. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  8. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from Xinyu Yi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Fast R-CNN
  7. Object Detection with Discriminatively Trained Part Based Models
  8. SSD: Single Shot MultiBox Detector
  9. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  10. Feature Pyramid Networks for Object Detection

Their papers