Yağmur Güçlütürk

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 90 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Yağmur Güçlütürk trusts overall

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

1. Matthew D. Zeiler
2. Rob Fergus
3. Geoffrey E. Hinton
4. Kaiming He
5. Yoshua Bengio
6. Alex Krizhevsky
7. Yann LeCun
8. Diederik P. Kingma
9. Ilya Sutskever
10. Karen Simonyan

Who trusts Yağmur Güçlütürk overall

1. Gabrielle Ras

Papers from Yağmur Güçlütürk's perspective

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

Their papers

• Explainable and Interpretable Models in Computer Vision and Machine Learning (2017) — 117 citations
• Visualizing Apparent Personality Analysis with Deep Residual Networks (2017) — 21 citations