Yakup Genç

Computer Vision and Pattern Recognition · 2006–2016

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Aerospace Engineering — 8 citations into it

Whom Yakup Genç trusts overall

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

1. David G. Lowe
2. Alex Krizhevsky
3. Ondřej Chum
4. Edward Rosten
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Christian Szegedy
8. Yangqing Jia
9. Ilya Sutskever

Papers from Yakup Genç's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Going deeper with convolutions
3. Distinctive Image Features from Scale-Invariant Keypoints
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Applying Deep Learning in Augmented Reality Tracking (2016) — 30 citations
• GPU-based Video Feature Tracking And Matching (2006) — 384 citations