Qinghua Huang

Computer Vision and Pattern Recognition · with Bai · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Qinghua Huang trusts overall

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

1. Yangqing Jia
2. Jie-Zhi Cheng
3. David G. Lowe
4. Dustin Boswell
5. Robert A. Lordo
6. Evan Shelhamer
7. Navneet Dalal
8. Ekta Walia

Who trusts Qinghua Huang overall

1. Arvid Lundervold

Papers from Qinghua Huang's perspective

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

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Histograms of oriented gradients for human detection
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
6. This PDF file includes: Materials and Methods
7. Going deeper with convolutions
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Caffe: Convolutional Architecture for Fast Feature Embedding

Their papers

• Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey (2018) — 195 citations
• A novel feature extraction method using Pyramid Histogram of Orientation Gradients for smile recognition (2009) — 163 citations