Pengfei Yuan
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 23 citations into it
- Aerospace Engineering — 19 citations into it
- Geology — 10 citations into it
- Computational Mechanics — 8 citations into it
Whom Pengfei Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Pengfei Yuan's perspective
Ordered by how strongly the researchers Pengfei Yuan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Fully convolutional networks for semantic segmentation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- Are we ready for autonomous driving? The KITTI vision benchmark suite
- PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
- You Only Look Once: Unified, Real-Time Object Detection
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
Their papers
- DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration (2019) — 323 citations