My personal webpage: hazirbas.com
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Publications
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Journal Articles
2018
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What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? , In , volume 41, 2018. (arxiv)
Conference and Workshop Papers
2018
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Deep Depth From Focus , In Asian Conference on Computer Vision (ACCV), 2018. ([arxiv], Deep Depth From Focus,[dataset])
2017
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Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems , In IEEE International Conference on Computer Vision (ICCV), 2017. ([arxiv], [code])
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Image-based localization using LSTMs for structured feature correlation , In IEEE International Conference on Computer Vision (ICCV), 2017. ([arxiv])
2016
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FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture , In Asian Conference on Computer Vision, 2016. ([code])
2015
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CAPTCHA Recognition with Active Deep Learning , In GCPR Workshop on New Challenges in Neural Computation, 2015. ([code])
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FlowNet: Learning Optical Flow with Convolutional Networks , In IEEE International Conference on Computer Vision (ICCV), 2015. ([video],[code])
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Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation , In Scale Space and Variational Methods in Computer Vision (SSVM), 2015. ([code])
Oral Presentation [] 
Interactive Multi-label Segmentation of RGB-D Images , In Scale Space and Variational Methods in Computer Vision (SSVM), 2015. ([code])
Other Publications
2014
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Feature Selection and Learning for Semantic Segmentation , Master's thesis, Technical University Munich, 2014.