Gangyao Kuang

Computer Vision and Pattern Recognition · 2009–2019

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 5 citations into it

Whom Gangyao Kuang trusts overall

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

1. Jianguo Zhang

Papers from Gangyao Kuang's perspective

Ordered by how strongly the researchers Gangyao Kuang 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. Gradient-based learning applied to document recognition
4. ImageNet: A large-scale hierarchical image database
5. ImageNet Large Scale Visual Recognition Challenge
6. Going deeper with convolutions
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Extended local binary patterns for texture classification (2012) — 339 citations
• Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images (2019) — 341 citations
• An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images (2009) — 334 citations