Yafei Li
Computer Vision and Pattern Recognition · with Guo · 2020
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it
Whom Yafei Li trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Piotr Doll'ar (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Deva Ramanan (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- David G. Lowe (in Computer Vision and Pattern Recognition)
Papers from Yafei Li's perspective
Ordered by how strongly the researchers Yafei Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Object Detection with Discriminatively Trained Part Based Models
- Densely Connected Convolutional Networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Feature Pyramid Networks for Object Detection
- Multi-column deep neural networks for image classification
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Learning To Count Objects in Images
Their papers
- Learning Multi-Level Density Maps for Crowd Counting (2020) — 59 citations