Skip to Main content Skip to Navigation


hal-02432711v1  Conference papers
Iasonas Kokkinos. Pushing the boundaries of boundary detection using deep learning
4th International Conference on Learning Representations, ICLR 2016, May 2016, San Juan, Puerto Rico
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-00859448v1  Conference papers
Michael BronsteinIasonas Kokkinos. Scale-invariant heat kernel signatures for non-rigid shape recognition
CVPR - IEEE Conference on Computer Vision and Pattern Recognition, 2010, San Francisco, United States. pp.1704-1711
hal-00858954v1  Conference papers
Andreas ArgyriouRina FoygelNathan Srebro. Sparse Prediction with the $k$-Support Norm
Neural Information Processing Systems, Dec 2012, Lake Tahoe, United States. pp.1466-1474
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-00856047v1  Conference papers
Mickaël SavinaudMartin de la GorceS. MaitrejeanNikos Paragios. Model-Based Multi-view Fusion of Cinematic Flow and Optical Imaging
13th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2010, Sep 2010, Beijing, China. pp.668-675, ⟨10.1007/978-3-642-15745-5_82⟩
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-00856063v1  Conference papers
Olivier TeboulLoïc SimonPanagiotis KoutsorakisNikos Paragios. Segmentation of building facades using procedural shape priors
23rd IEEE Conference on Computer Vision and Pattern Recognition - CVPR 2010, Jun 2010, San Francisco, United States. pp.3105-3112, ⟨10.1109/CVPR.2010.5540068⟩
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-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-00856289v1  Conference papers
Loïc SimonOlivier TeboulPanagiotis KoutsourakisLuc van GoolNikos Paragios. Parameter-free/Pareto-driven procedural 3D reconstruction of buildings from ground-level sequences
25th IEEE Conference on Computer Vision and Pattern Recognition - CVPR 2012, Jun 2012, Rhode Island, United States. pp.518-525, ⟨10.1109/CVPR.2012.6247716⟩
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-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-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-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-00856046v1  Conference papers
Aristeidis SotirasYangming OuBen GlockerChristos DavatzikosNikos Paragios. Simultaneous Geometric - Iconic Registration
13th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2010, Sep 2010, Beijing, China. pp.676-683, ⟨10.1007/978-3-642-15745-5_83⟩
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-00856116v1  Conference papers
Bo XiangChaohui WangJean-François DeuxAlain RahmouniNikos Paragios. Tagged cardiac MR image segmentation using boundary & regional-support and graph-based deformable priors
2011 IEEE 8th International Symposium on Biomedical Imaging - ISBI 2011, Mar 2011, Chicago, United States. pp.1706-1711, ⟨10.1109/ISBI.2011.5872733⟩
hal-00856135v1  Conference papers
Olivier TeboulIasonas KokkinosLoïc SimonPanagiotis KoutsourakisNikos Paragios. Shape grammar parsing via Reinforcement Learning
24th IEEE Conference on Computer Vision and Pattern Recognition - CVPR 2011, Jun 2011, Colorado Springs, United States. pp.2273-2280, ⟨10.1109/CVPR.2011.5995319⟩
hal-00856131v1  Conference papers
Chaohui WangYun ZengLoïc SimonIoannis KakadiarisDimitris Samaras et al.  Viewpoint invariant 3D landmark model inference from monocular 2D images using higher-order priors
13th International Conference on Computer Vision - ICCV 2011, Nov 2011, Barcelona, Spain. pp.319-326, ⟨10.1109/ICCV.2011.6126258⟩
hal-00856103v1  Conference papers
Chaohui WangHaithem BoussaidLoïc SimonJean-Yves LazennecNikos Paragios. Pose-Invariant 3D Proximal Femur Estimation through Bi-planar Image Segmentation with Hierarchical Higher-Order Graph-Based Priors
14th International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI 2011, Sep 2011, Toronto, Canada. pp.346-353, ⟨10.1007/978-3-642-23626-6_43⟩
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-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-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-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-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