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hal-00856051v1  Conference papers
Chaohui WangOlivier TeboulFabrice MichelSalma EssafiNikos Paragios. 3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
MICCAI 2010 - 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Sep 2010, Beijing, China. pp.189-196, ⟨10.1007/978-3-642-15711-0_24⟩
hal-00865699v1  Conference papers
Joerg KappesBjoern AndresFred HamprechtChristoph SchnörrSebastian Nowozin et al.  A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems
IEEE Conference on Computer Vision and Pattern Recognition 2013, 2013, United States. pp.1-8
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⟩
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-00918717v1  Conference papers
Régis BehmoNikos ParagiosVeronique Prinet. An Application of Graph Commute Times to Image Indexing
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, 2008, Boston, United States. pp.495-498, ⟨10.1109/IGARSS.2008.4779392⟩
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
hal-00856061v1  Conference papers
Michael BronsteinAlexander BronsteinFabrice MichelNikos Paragios. Data fusion through cross-modality metric learning using similarity-sensitive hashing
23rd IEEE Conference on Computer Vision and Pattern Recognition - CVPR 2010, Jun 2010, San Francisco, United States. pp.3594-3601, ⟨10.1109/CVPR.2010.5539928⟩
hal-00918725v1  Conference papers
Christian WachingerGlocker BenJean-Claude ZeltnerNikos ParagiosNikos Komodakis et al.  Deformable Mosaicing for Whole-Body MRI
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008, 2008, New-York, United States. pp.113-121, ⟨10.1007/978-3-540-85990-1_14⟩
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
hal-00918807v1  Conference papers
Michalis RaptisIasonas KokkinosStefano Soatto. Discovering Discriminative Action Parts from Mid-Level Video Representations
CVPR - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2012, Providence, United States
hal-00858415v1  Conference papers
Aristeidis SotirasNikos Paragios. Discrete symmetric image registration
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on, 2012, Spain. pp.342-345
hal-02432714v1  Conference papers
Edgar Simo-SerraEduard TrullsL. FerrazIasonas KokkinosP. Fua et al.  Discriminative learning of deep convolutional feature point descriptors
IEEE international conference on computer vision (ICCV), Dec 2015, Santiago, Chile. pp.118--126, ⟨10.1109/ICCV.2015.22⟩
hal-00918704v1  Conference papers
Ben GlockerNikos KomodakisNikos ParagiosGeorgios TziritasNassir Navab. Effiziente nichtlineare Registrierung mittels diskreter Optimierung.
Bildverarbeitung für die Medizin 2008, 2008, Germany. pp.87-91
hal-00918707v1  Conference papers
Régis BehmoNikos ParagiosVeronique Prinet. Graph commute times for image representation
CVPR 2008 - Computer Vision and Pattern Recognition, Jun 2008, Anchorage, AK, United States. pp.1-8, ⟨10.1109/CVPR.2008.4587840⟩
hal-00918721v1  Conference papers
Han YuanGeorg LangsNikos Paragios. Group-wise MDL based registration of small animals in video sequences
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008, Paris, France. pp.1179 - 1182
hal-00856295v1  Conference papers
Jose RubioJoan SerratAntonio LópezNikos Paragios. Image contextual representation and matching through hierarchies and higher order graphs
21st International Conference on Pattern Recognition - ICPR 2012, Nov 2012, Tsukuba, Japan. pp.2664 - 2667
hal-00856054v1  Conference papers
Fabrice MichelNikos Paragios. Image transport regression using mixture of experts and discrete Markov random fields
2010 IEEE 7th International Symposium on Biomedical Imaging - ISBI 2010, Apr 2010, Rotterdam, Netherlands. pp.1229-1232, ⟨10.1109/ISBI.2010.5490217⟩
hal-02423036v1  Conference papers
Maria VakalopoulouNorbert BusKonstantinos KarantzalosNikos Paragios. Integrating edge/boundary priors with classification scores for building detection in very high resolution data
IEEE International geoscience and remote sensing symposium (IGARSS), Jul 2017, Fort Worth, TX, United States. pp.3309-3312, ⟨10.1109/IGARSS.2017.8127705⟩
hal-00865703v1  Conference papers
Costas PanagiotakisHarris PapadakisElias GriniasNikos KomodakisParaskevi Fragopoulou et al.  Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling
15th International Conference on Computer Analysis of Images and Patterns (CAIP 2013), Aug 2013, York, United Kingdom. pp.589-596, ⟨10.1007/978-3-642-40261-6_71⟩
hal-00857572v1  Conference papers
Iasonas KokkinosMichael M. BronsteinRoee LitmanAlexander M. Bronstein. Intrinsic shape context descriptors for deformable shapes
CVPR 2012 - IEEE Conference on Computer Vision and Pattern Recognition, Jun 2012, Providence, United States. pp.159-166, ⟨10.1109/CVPR.2012.6247671⟩
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-00856297v1  Conference papers
Samuel KadouryGuray ErusEvangelina I. ZacharakiNikos ParagiosDavatzikos Christos. Manifold-constrained embeddings for the detection of white matter lesions in brain MRI
2012 IEEE 9th International Symposium on Biomedical Imaging - ISBI 2012, May 2012, Barcelona, Spain. pp.562 - 565
hal-00858402v1  Conference papers
Darko ZikicBen GlockerOliver KutterMartin GroherNikos Komodakis et al.  Markov Random Field Optimization for Intensity-based 2D-3D Registration
SPIE 2010, Medical Imaging 2010: Image Processing, 2010, San Diego, United States. ⟨10.1117/12.837232⟩
hal-01323727v1  Conference papers
Anton OsokinJean-Baptiste AlayracIsabella LukasewitzPuneet K. DokaniaSimon Lacoste-Julien. Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
International Conference on Machine Learning (ICML 2016)., 2016, New York, United States