Shenhua Hou
Aerospace Engineering · 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
- Aerospace Engineering — 19 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it
Whom Shenhua Hou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shenhua Hou's perspective
Ordered by how strongly the researchers Shenhua Hou trusts endorse each paper. Same corpus, a different order for every researcher.
- Et al
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long-term recurrent convolutional networks for visual recognition and description
- ImageNet: A large-scale hierarchical image database
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
Their papers
- L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving (2019) — 304 citations