Gahyun Suh

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Artificial Intelligence — 6 citations into it

Whom Gahyun Suh trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Shaoqing Ren
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Matthew D. Zeiler
7. C. Kuo
8. Rob Fergus
9. Yann LeCun
10. Andrew Zisserman

Who trusts Gahyun Suh overall

1. Dongho Kang

Papers from Gahyun Suh's perspective

Ordered by how strongly the researchers Gahyun Suh 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. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Autonomous Structural Visual Inspection Using Region‐Based Deep Learning for Detecting Multiple Damage Types (2018) — 1,419 citations