Caglar Aytekin

Identifiers

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Papers (10)

1. A Compression Objective and a Cycle Loss for Neural Image Compression eess.IV · 2019 · author #1
2. Compressing Weight-updates for Image Artifacts Removal Neural Networks cs.LG · 2019 · author #3
3. Compressibility Loss for Neural Network Weights cs.LG · 2019 · author #1
4. Block-optimized Variable Bit Rate Neural Image Compression cs.LG · 2018 · author #1
5. Saliency-Enhanced Robust Visual Tracking cs.CV · 2018 · author #1
6. Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations cs.LG · 2018 · author #1
7. A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure cs.LG · 2018 · author #1
8. Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels cs.CV · 2017 · author #1
9. INTEL-TUT Dataset for Camera Invariant Color Constancy Research cs.CV · 2017 · author #1
10. Probabilistic Saliency Estimation cs.CV · 2016 · author #1

Mentions

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Frequent Coauthors

• Emre Aksu 8 shared papers
• Francesco Cricri 8 shared papers
• Jani Lainema 3 shared papers
• Miska Hannuksela 3 shared papers
• Xingyang Ni 3 shared papers
• Lixin Fan 2 shared papers
• Moncef Gabbouj 2 shared papers
• Alexandros Iosifidis 1 shared papers
• Alireza Zare 1 shared papers
• Antti Hallapuro 1 shared papers
• Jarno Nikkanen 1 shared papers
• Yat Hong Lam 1 shared papers