Peng Hou

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Model Architectures — 7 citations into it

Whom Peng Hou trusts overall

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

1. Sebastian O. H. Madgwick

Who trusts Peng Hou overall

1. Saad Khan
2. Cong Xie
3. Jianbing Ni
4. Shanhe Yi

Papers from Peng Hou's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. ImageNet: A large-scale hierarchical image database
5. Histograms of oriented gradients for human detection
6. Distinctive Image Features from Scale-Invariant Keypoints
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Microsoft COCO: Common Objects in Context
9. Visualizing and Understanding Convolutional Networks
10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers

• A New Deep Learning-Based Food Recognition System for Dietary Assessment on An Edge Computing Service Infrastructure (2018) — 297 citations
• Distributed Analytics and Edge Intelligence: Pervasive Health Monitoring at the Era of Fog Computing (2015) — 91 citations