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Andrés Almansa

14

Documents

Identifiants chercheurs

andres-almansa
ResearcherId : A-4152-2008
0000-0001-8196-1329
Google Scholar : https://scholar.google.fr/citations?user=e1pFlV0AAAAJ
IdRef : 15726355X

Publications

41256

	Processing Simple Geometric Attributes with Autoencoders Alasdair Newson , Andrés Almansa , Yann Gousseau , Saïd Ladjal Journal of Mathematical Imaging and Vision, 2020, 62 (3), pp.293-312. ⟨10.1007/s10851-019-00924-w⟩ Article dans une revue hal-02271281v1
	Object removal from complex videos using a few annotations Thuc Trinh Le , Andrés Almansa , Yann Gousseau , Simon Masnou Computational Visual Media, 2019, 5, pp.267-291. ⟨10.1007/s41095-019-0145-0⟩ Article dans une revue hal-02168653v1
	Fast and Accurate Multiplicative Decomposition for Fringe Removal in Interferometric Images Daniel-Chen Soncco , Clara Barbanson , Mila Nikolova , Andrés Almansa , Yann Ferrec IEEE Transactions on Computational Imaging, 2017, 3 (2), ⟨10.1109/TCI.2017.2678279⟩ Article dans une revue hal-01492428v1
	A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging Cecilia Aguerrebere , Andrés Almansa , Julie Delon , Yann Gousseau , Pablo Musé IEEE Transactions on Computational Imaging, 2017, ⟨10.1109/TCI.2017.2704439⟩ Article dans une revue hal-01107519v5
	A sparsity-based variational approach for the restoration of SMOS images from L1A data Javier Preciozzi , Andrès Almansa , Pablo Musé , Sylvain Durand , Ali Khazaal IEEE Transactions on Geoscience and Remote Sensing, 2017, 55 (5), pp.2811--2826. ⟨10.1109/TGRS.2017.2654864⟩ Article dans une revue hal-01341839v2
	Demystifying the asymptotic behavior of global denoising Antoine Houdard , Andrès Almansa , Julie Delon Journal of Mathematical Imaging and Vision, 2017, ⟨10.1007/s10851-017-0716-6⟩ Article dans une revue hal-01340822v3
	Robust Multi-image Processing With Optimal Sparse Regularization Yann Traonmilin , Saïd Ladjal , Andrés Almansa Journal of Mathematical Imaging and Vision, 2015, 51 (3), pp.413-429. ⟨10.1007/s10851-014-0532-1⟩ Article dans une revue hal-00940192v1

	Resolution-Preserving Speckle Reduction of SAR Images: the Benefits of Speckle Decorrelation and Targets Extraction Rémy Abergel , Loïc Denis , Florence Tupin , Saïd Ladjal , Charles-Alban Deledalle 2019 IEEE International Geoscience and Remote Sensing Symposium, Jul 2019, Yokohama, Japan. ⟨10.1109/IGARSS.2019.8900036⟩ Communication dans un congrès hal-02148907v1
	Removing objects from videos with a few strokes Thuc Trinh Le , Andrés Almansa , Yann Gousseau , Simon Masnou SIGGRAPH Asia 2018 Technical Briefs, Dec 2018, Tokyo, Japan. pp.1-4, ⟨10.1145/3283254.3283276⟩ Communication dans un congrès hal-02099051v1
	Joint denoising and decompression using CNN regularization Mario González , Javier Preciozzi , Pablo Musé , Andrés Almansa CVPR Workshop and Challenge on Learned Image Compression (CVPR 2018), IEEE/CVF, Jun 2018, Salt Lake City, UT, United States Communication dans un congrès hal-01825573v1
	A Correlation-based Dissimilarity Measure for Noisy Patches Paul Riot , Andrés Almansa , Yann Gousseau , Florence Tupin SSVM 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
	JOINT DENOISING AND DECOMPRESSION: A PATCH-BASED BAYESIAN APPROACH Javier Preciozzi , Mario González , Andrés Almansa , Pablo Musé ICIP 2017: IEEE International Conference on Image Processing, Sep 2017, Beijing, China Communication dans un congrès hal-01493635v2
	Motion-consistent video inpainting Thuc Trinh Le , Andrés Almansa , Yann Gousseau , Simon Masnou ICIP 2017: IEEE International Conference on Image Processing, Sep 2017, Beijing, China. ⟨10.1109/ICIP.2017.8296651⟩ Communication dans un congrès hal-01492536v1
	Penalizing local correlations in the residual improves image denoising performance Paul Riot , Andrès Almansa , Yann Gousseau , Florence Tupin (EUSIPCO 2016) 24th European Signal Processing Conference, Aug 2016, Budapest, Hungary Communication dans un congrès hal-01341968v1