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Andrés Almansa
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Documents
Identifiants chercheurs
- andres-almansa
- ResearcherId : A-4152-2008
- 0000-0001-8196-1329
- Google Scholar : https://scholar.google.fr/citations?user=e1pFlV0AAAAJ
- IdRef : 15726355X
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Processing Simple Geometric Attributes with AutoencodersJournal of Mathematical Imaging and Vision, 2020, 62 (3), pp.293-312. ⟨10.1007/s10851-019-00924-w⟩
Article dans une revue
hal-02271281v1
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Object removal from complex videos using a few annotationsComputational Visual Media, 2019, 5, pp.267-291. ⟨10.1007/s41095-019-0145-0⟩
Article dans une revue
hal-02168653v1
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A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR ImagingIEEE Transactions on Computational Imaging, 2017, ⟨10.1109/TCI.2017.2704439⟩
Article dans une revue
hal-01107519v5
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Removing objects from videos with a few strokesSIGGRAPH Asia 2018 Technical Briefs, Dec 2018, Tokyo, Japan. pp.1-4, ⟨10.1145/3283254.3283276⟩
Communication dans un congrès
hal-02099051v1
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Motion-consistent video inpaintingICIP 2017: IEEE International Conference on Image Processing, Sep 2017, Beijing, China. ⟨10.1109/ICIP.2017.8296651⟩
Communication dans un congrès
hal-01492536v1
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A Correlation-based Dissimilarity Measure for Noisy PatchesSSVM 2017: International Conference on Scale Space and Variational Methods in Computer Vision, Jun 2017, Kolding, Denmark. pp.184-195, ⟨10.1007/978-3-319-58771-4_15⟩
Communication dans un congrès
hal-01492429v1
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Penalizing local correlations in the residual improves image denoising performance(EUSIPCO 2016) 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary
Communication dans un congrès
hal-01341968v1
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