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hal-01024226v1  Conference papers
José Ignacio OrlandoMatthew Blaschko. Learning fully-connected CRFs for blood vessel segmentation in retinal images
Medical Image Computing and Computer Assisted Intervention (MICCAI), Sep 2014, Boston, United States. ⟨10.1007/978-3-319-10404-1_79⟩
hal-02423503v1  Book sections
Charles FlorinNikos ParagiosJames Williams. Monte carlo sampling for the segmentation of tubular structures
Handbook of biomedical imaging : methodologies and clinical research, Springer, pp.263-275, 2015, 9780387097497; 9780387097480. ⟨10.1007/978-0-387-09749-7_14⟩
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hal-02423629v1  Conference papers
Abdulkadir ÇelikkanatFragkiskos Malliaros. Kernel Node Embeddings
GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Nov 2019, Ottawa, Canada
hal-02423502v1  Book sections
Nikios Paragios. Curve propagation, level set methods and grouping
Handbook of biomedical imaging : methodologies and clinical research, Springer, pp.45-62, 2015, 9780387097497; 9780387097480. ⟨10.1007/978-0-387-09749-7_3⟩
hal-02423504v1  Book sections
Radhouène NejiNoura AzzabouGilles FleuryNikos Paragios. Diffusion tensor estimation, regularization and classification
Handbook of biomedical imaging : methodologies and clinical research, Springer, pp.437-454, 2015, 9780387097497; 9780387097480. ⟨10.1007/978-0-387-09749-7_24⟩
hal-01650956v1  Conference papers
Enzo FerrantePuneet K DokaniaRafael MariniNikos Paragios. Deformable Registration through Learning of Context-Specific Metric Aggregation
Machine Learning in Medical Imaging Worlshop. MLMI (MICCAI 2017), Sep 2017, Quebec City, Canada
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hal-01495734v2  Conference papers
Edouard OyallonEugene BelilovskySergey Zagoruyko. Scaling the Scattering Transform: Deep Hybrid Networks
International Conference on Computer Vision (ICCV), Oct 2017, Venice, Italy
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hal-01850921v1  Conference papers
Edouard OyallonEugene BelilovskySergey ZagoruykoMichal Valko. Compressing the Input for CNNs with the First-Order Scattering Transform
ECCV 2018 - European Conference on Computer Vision, Sep 2018, Munich, Germany
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hal-01151823v1  Conference papers
Jiaqian YuMatthew Blaschko. Learning Submodular Losses with the Lovász Hinge
International Conference on Machine Learning, Jul 2015, Lille, France
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hal-01951864v1  Conference papers
Riza Alp GülerNatalia NeverovaIasonas Kokkinos. DensePose: Dense Human Pose Estimation In The Wild
Conference on Computer Vision and Pattern Recognition (CVPR) 2018, Jun 2018, Salt Lake City, United States
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hal-01951850v1  Conference papers
Natalia NeverovaRiza Alp GülerIasonas Kokkinos. Dense Pose Transfer
European Conference on Computer Vision (ECCV) 2018, Sep 2018, Munich, Germany
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hal-01005828v4  Conference papers
Wacha BounliphoneArthur GrettonArthur TenenhausMatthew Blaschko. A low variance consistent test of relative dependency
International Conference on Machine Learning, Jul 2015, Lille, France
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tel-00803958v1  Habilitation à diriger des recherches
Wojciech Zaremba. Modeling the variability of EEG/MEG data through statistical machine learning
Computer Vision and Pattern Recognition [cs.CV]. Ecole Polytechnique X, 2012
hal-02454644v1  Conference papers
Emilie ChouzenouxVíctor Elvira. Adaptive importance sampling with scaled Langevin proposal adaptatioń
17th International Conference on Computer Aided Systems Theory (EUROCAST 2019), Feb 2019, Las Palmas de Gran Canaria, Spain
hal-01104407v1  Conference papers
Wacha BounliphoneArthur GrettonMatthew Blaschko. Kernel non-parametric tests of relative dependency
NIPS Workshop on Modern Nonparametrics 3: Automating the Learning Pipeline, Dec 2014, Montreal, Canada
hal-01104413v1  Conference papers
Jiaqian YuMatthew Blaschko. Lovasz Hinge for Learning Submodular Losses
NIPS Workshop on Representation and Learning Methods for Complex Outputs, Dec 2014, Montreal, Canada
hal-01355110v1  Conference papers
Roque PorchettoFranco StramanaEnzo FerranteNikos Paragios. Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields
19th Int Conf on Med Image Comp and Comp-Assisted Intervent (MICCAI) / Int Workshop on Med Comp Vis (MCV) / 3rd Int Workshop on Bayesian and Graph Models for Biomedical Imaging (BAMBI), Oct 2016, Athens, Greece. pp.172-185, ⟨10.1007/978-3-319-61188-4_16⟩
hal-01104411v1  Conference papers
Eugene BelilovskyAndreas ArgyriouMatthew Blaschko. Approximating Combined Discrete Total Variation and Correlated Sparsity With Convex Relaxations
NIPS Workshop on Discrete and Combinatorial Problems in Machine Learning, Dec 2014, Montreal, Canada
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hal-00803981v2  Conference papers
Wojciech ZarembaM. Pawan KumarAlexandre GramfortMatthew Blaschko. Learning from M/EEG data with variable brain activation delays
International Conference on Information Processing in Medical Imaging, Jun 2013, Asilomar, United States
hal-00856323v1  Conference papers
Yun ZengChaohui WangDavid GuDimitris SamarasNikos Paragios. A Generic Deformation Model for Dense Non-Rigid Surface Registration: a Higher-Order MRF-based Approach
ICCV 2013 - IEEE International Conference on Computer Vision, Dec 2013, Sydney, Australia. pp.3360-3367, ⟨10.1109/ICCV.2013.417⟩