

{"id":57,"date":"2015-04-16T09:28:36","date_gmt":"2015-04-16T07:28:36","guid":{"rendered":"https:\/\/project.inria.fr\/semapolis\/?page_id=57"},"modified":"2021-09-06T19:32:46","modified_gmt":"2021-09-06T17:32:46","slug":"publications","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/semapolis\/fr\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p class=\"qtranxs-available-languages-message qtranxs-available-languages-message-fr\">D\u00e9sol\u00e9, cet article est seulement disponible en <a href=\"https:\/\/project.inria.fr\/semapolis\/en\/wp-json\/wp\/v2\/pages\/57\" class=\"qtranxs-available-language-link qtranxs-available-language-link-en\" title=\"English\">English<\/a>.<\/p><p><\/p>\n<h4>International Journals<\/h4>\n<ol>\n<li><strong><a id=\"Arandjelovic-et-al-PAMI-2017\"><\/a>[Arandjelovic et al. PAMI 2017]<\/strong><br \/>\n<strong><a href=\"http:\/\/www.di.ens.fr\/~josef\/publications\/Arandjelovic17.pdf\">NetVLAD: CNN architecture for weakly supervised place recognition<\/a>.<\/strong> Relja Arandjelovic, Petr Gronat, Akihiko Torii, Tomas Pajdla, Josef Sivic. IEEE Transactions on Pattern Analysis and Machine Intelligence (<strong>PAMI 2017<\/strong>). See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.di.ens.fr\/willow\/research\/netvlad\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Aubry-et-al-TOG-2014\"><\/a>[Aubry et al. TOG 2104]<\/strong><br \/>\n<strong><a href=\"https:\/\/www.di.ens.fr\/willow\/research\/painting_to_3d\/texts\/Aubry13.pdf\">Painting-to-3D Model Alignment Via Discriminative Visual Elements<\/a>.<\/strong>\u00a0Mathieu Aubry, Bryan Russell, Josef Sivic. ACM Transactions on Graphics (<strong>TOG 2014<\/strong>), 33(2), 2014. Also in International Conference on Computer Graphics and Interactive Techniques (<strong>SIGGRAPH 2014<\/strong>). See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.di.ens.fr\/willow\/research\/painting_to_3d\/\">project page<\/a><\/span>.<strong> (a)<\/strong><\/li>\n<li><strong><a id=\"Boulch-et-al-CGF-2014\"><\/a>[Boulch et al. CGF 2014]<\/strong><br \/>\n<strong><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/SGP-2014-Boulch-et-al.pdf\">Piecewise-Planar 3D Reconstruction with Edge and Corner Regularization<\/a>.<\/strong>\u00a0Alexandre Boulch and Martin de La Gorce, Renaud Marlet. Computer Graphics Forum (<strong>CGF 2014<\/strong>), 33(5):55-64. Also in 12th Eurographics Symposium on Geometry (<strong>SGP 2014<\/strong>).<strong> (b)<\/strong><\/li>\n<li><strong><a id=\"Dalens-et-al-PAMI-2019\"><\/a>[Dalens et al. PAMI 2019]<\/strong><br \/>\n<strong><a href=\"https:\/\/hal.inria.fr\/hal-02452091\/document\">Bilinear image translation for temporal analysis of photo collections<\/a>.<\/strong> Th\u00e9ophile Dalens, Mathieu Aubry, Josef Sivic. IEEE Transactions on Pattern Analysis and Machine Intelligence (<strong>PAMI 2019<\/strong>). See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.di.ens.fr\/willow\/research\/bilineartranslation\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Gadde-et-al-IJCV-2016\"><\/a>[Gadde et al. IJCV 2016]<\/strong><br \/>\n<strong><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/IJCV-2016-Gadde-et-al.pdf\">Learning grammars for architecture-specific facade parsing<\/a>.<\/strong> Raghudeep Gadde, Renaud Marlet, Nikos Paragios. International Journal of Computer Vision (<strong>IJCV 2016<\/strong>), 117(3):290-316, March 2016. See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/raghudeep\/ParisArtDecoFacadesDataset\/\">used dataset<\/a><\/span>.<\/li>\n<li><strong><a id=\"Gadde-et-al-PAMI-2018\"><\/a>[Gadde et al. PAMI 2018]<\/strong><br \/>\n<strong><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/PAMI-2018-Gadde-et-al.pdf\">Efficient 2D and 3D Facade Segmentation using Auto-Context<\/a>.<\/strong> Raghudeep Gadde, Varun Jampani, Renaud Marlet, Peter Gehler. IEEE Transactions on Pattern Analysis and Machine Intelligence (<strong>PAMI 2018<\/strong>). See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/ps.is.tuebingen.mpg.de\/research_projects\/facade-segmentation\">project page<\/a><\/span>\u00a0and the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/PAMI-2018-Gadde-et-al_supp.pdf\">supplementary material<\/a><\/span>.<\/li>\n<li><strong><a id=\"Hedman-et-al-TOG-2016\"><\/a>[Hedman et al. TOG 2016]<\/strong><br \/>\n<strong><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/HRDB16\/insideout_siggasia_2016_preprint.pdf\">Scalable Inside-Out Image-Based Rendering<\/a>.<\/strong> Peter Hedman, Tobias Ritschel, George Drettakis, Gabriel Brostow. ACM Transactions on Graphics (<strong>TOG 2016<\/strong>), 35(6). Also in SIGGRAPH Asia Conference (<strong>SIGGRAPH Asia 2016<\/strong>).\u00a0See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/HRDB16\/\">short project page<\/a><\/span> and <span style=\"text-decoration: underline;\"><a href=\"http:\/\/visual.cs.ucl.ac.uk\/pubs\/insideout\/\">complete project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Landrieu-Obozinski-SIIMS-2017\"><\/a>[Landrieu &amp; Obozinski SIIMS 2017]<\/strong><br \/>\n<strong><a href=\"https:\/\/hal.archives-ouvertes.fr\/hal-01306779v4\/document\">Cut Pursuit: fast algorithms to learn piecewise constant functions on general weighted graphs<\/a>.<\/strong> Lo\u00efc Landrieu, Guillaume Obozinski. SIAM Journal on Imaging Sciences (<strong>SIIMS 2017<\/strong>), 10(4), 1724\u20131766, 2017. See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/loicland\/cut-pursuit\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Nishida-et-al-TOG-2016\"><\/a>[Nishida et al. TOG 2016]<\/strong><br \/>\n<strong><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/NGGBB16\/procedural_sketch.pdf\">Interactive Sketching of Urban Procedural Models<\/a><\/strong>. Gen Nishida, Ignacio Garcia-Dorado, Daniel G. Aliaga, Bedrich Benes, Adrien Bousseau. ACM Transactions on Graphics (<strong>TOG 2016<\/strong>). Also in SIGGRAPH Conference (<strong>SIGGRAPH 2016<\/strong>). See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/NGGBB16\/\">short project page<\/a><\/span> and <span style=\"text-decoration: underline;\"><a href=\"https:\/\/www.cs.purdue.edu\/homes\/gnishida\/sketch\/\">complete project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Thonat-et-al-CGF-2018\"><\/a>[Thonat et al. CGF 2018]<\/strong><br \/>\n<strong><a id=\"Thonat-et-al-CGF-2018\" href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2018\/TDDD18\/main_thin_5.pdf\">Thin Structures in Image Based Rendering<\/a>.<\/strong>\u00a0Theo Thonat, Abdelaziz Djelouah, Fr\u00e9do Durand, George Drettakis.\u00a0Computer Graphics Forum (<strong>CGF 2018<\/strong>), 37(4), 2018. Also in Eurographics Symposium on Rendering (<strong>EGSR 2018<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2018\/TDDD18\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Torii-et-al-PAMI-2015\"><\/a>[Torii et al. PAMI 2015]<\/strong><br \/>\n<strong><a href=\"http:\/\/www.di.ens.fr\/~josef\/publications\/Torii15a.pdf\"><strong>Visual place recognition with repetitive structures<\/strong><\/a>.<\/strong> Akihiko Torii, Josef Sivic, Masatoshi Okutomi, Tomas Pajdla. IEEE Transactions on Pattern Analysis and Machine Intelligence (<strong>PAMI 2015<\/strong>), 37(11):2346-2359, November 2015. See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.ok.ctrl.titech.ac.jp\/~torii\/project\/repttile\/\">project page<\/a><\/span>.<strong> (a)<\/strong><\/li>\n<li><strong><a id=\"Torii-et-al-PAMI-2017\"><\/a>[Torii et al. PAMI 2017]<\/strong><br \/>\n<strong><a href=\"https:\/\/hal.inria.fr\/hal-01616660\/file\/Torii-PAMI-2016-cameraready.pdf\"><strong>24\/7 place recognition by view synthesis<\/strong><\/a>.<\/strong> Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomas Pajdla. IEEE Transactions on Pattern Analysis and Machine Intelligence (<strong>PAMI 2017<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.ok.ctrl.titech.ac.jp\/~torii\/project\/247\/\">project page<\/a><\/span>.<\/li>\n<\/ol>\n<h4>Book Chapters<\/h4>\n<ol>\n<li><strong><a id=\"Aubry-et-al-chapter-LSVG-2015\"><\/a>[Aubry et al. chapter LSVG 2015]<\/strong><br \/>\n<strong><a href=\"http:\/\/www.di.ens.fr\/~josef\/publications\/Aubry15.pdf\">Visual geo-localization of non-photographic depictions via 2D-3D alignment<\/a>.<\/strong>\u00a0Mathieu Aubry, Bryan Russell, Josef Sivic. Chapter in book\u00a0<em>Large-Scale Visual Geolocalization<\/em><strong> (chapter LSVG 2015)<\/strong>, Amir Roshan Zamir, Asaad Hakeem, Mubarak Shah, Luc Van Gool, Richard Szeliski (Eds), Springer.<\/li>\n<\/ol>\n<h4>International Conferences<\/h4>\n<ol>\n<li><strong><a id=\"Arandjelovic-et-al-CVPR-2016\"><\/a>[Arandjelovic et al. CVPR 2016]<\/strong><br \/>\n<strong><a href=\"http:\/\/www.di.ens.fr\/~josef\/publications\/Arandjelovic16.pdf\">NetVLAD: CNN architecture for weakly supervised place recognition<\/a>.<\/strong> Relja Arandjelovic, Petr Gronat, Akihiko Torii, Tomas Pajdla, Josef Sivic. IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2016<\/strong>).\u00a0See also the\u00a0<span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.di.ens.fr\/willow\/research\/netvlad\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Aubry-et-al-CVPR-2014\"><\/a>[Aubry et al. CVPR 2014]<\/strong><br \/>\n<strong><a href=\"http:\/\/www.di.ens.fr\/willow\/research\/seeing3Dchairs\/texts\/Aubry14.pdf\">Seeing 3D chairs: exemplar part-based 2D-3D alignment using a large dataset of CAD models<\/a>.<\/strong>\u00a0Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan Russell, Josef Sivic. IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2014<\/strong>). \u00a0See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.di.ens.fr\/willow\/research\/seeing3Dchairs\/\">project page<\/a><\/span>.<strong>\u00a0(a)<\/strong><\/li>\n<li><strong><a id=\"Aubry-Russell-ICCV-2015\"><\/a>[Aubry &amp; Russell ICCV 2015]<\/strong><br \/>\n<strong><a id=\"Aubry-Russel-ICCV-2015\" href=\"http:\/\/imagine.enpc.fr\/~aubrym\/projects\/features_analysis\/texts\/understanding_deep_features_with_CG.pdf\">Understanding deep features with computer-generated imagery<\/a>.<\/strong> Mathieu Aubry, Bryan Russell. IEEE International Conference on Computer Vision (<strong>ICCV 2015<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/imagine.enpc.fr\/~aubrym\/projects\/features_analysis\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Boulch-Marlet-ICPR-2014\"><\/a>[Boulch &amp; Marlet ICPR 2014]<\/strong><br \/>\n<strong><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/ICPR-2014-Boulch-Marlet.pdf\">Statistical criteria for shape fusion and selection<\/a>.<\/strong>\u00a0Alexandre Boulch, Renaud Marlet. 22nd International Conference on Pattern Recognition (<strong>ICPR 2014<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/aboulch\/primitive_merging\">code repository<\/a><\/span>.<strong> (b)<\/strong><\/li>\n<li><strong><a id=\"Bourki-et-al-WACV-2017\"><\/a>[Bourki et al. WACV 2017]<\/strong><br \/>\n<strong><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/WACV-2017-Bourki-et-al.pdf\">Patchwork Stereo: Scalable, Structure-aware 3D Reconstruction in Man-made Environments<\/a>.<\/strong> Amine Bourki, Martin de La Gorce, Renaud Marlet, Nikos Komodakis. IEEE Winter Conference on Applications of Computer Vision (<strong>WACV 2017<\/strong>).\u00a0See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/WACV-2017-Bourki-et-al_supp.pdf\">supplementary material<\/a><\/span>.<\/li>\n<li><strong><a id=\"Djelouah-et-al-3DV-2016\"><\/a>[Djelouah et al. 3DV 2016]<\/strong><br \/>\n<strong><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/DFBPD16\/final_umvseg_3dv.pdf\">Cotemporal Multi-View Video Segmentation<\/a>.<\/strong> Abdelaziz Djelouah, Jean-S\u00e9bastien Franco, Edmond Boyer, Patrick P\u00e9rez, George Drettakis. International Conference on 3D Vision (<strong>3DV 2016<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/DFBPD16\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Gidaris-Komodakis-ICCV-2015\"><\/a>[Gidaris &amp; Komodakis ICCV 2015]<\/strong><br \/>\n<strong><a href=\"https:\/\/www.cv-foundation.org\/openaccess\/content_iccv_2015\/papers\/Gidaris_Object_Detection_via_ICCV_2015_paper.pdf\">Object Detection via a Multi-region and Semantic Segmentation-aware CNN Model<\/a>.<\/strong> Spyros Gidaris, Nikos Komodakis. IEEE International Conference on Computer Vision (<strong>ICCV 2015<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"https:\/\/arxiv.org\/pdf\/1505.01749.pdf\">extended technical report<\/a><\/span> and <span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/gidariss\/mrcnn-object-detection\/\">code repository<\/a><\/span>.<\/li>\n<li><strong><a id=\"Gidaris-Komodakis-CVPR-2016\"><\/a>[Gidaris &amp; Komodakis CVPR 2016]<\/strong><br \/>\n<strong><a href=\"https:\/\/arxiv.org\/pdf\/1511.07763\">LocNet: Improving Localization Accuracy for Object Detection<\/a>.<\/strong> Spyros Gidaris, Nikos Komodakis. IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2016<\/strong>).\u00a0See also the <span style=\"text-decoration: underline;\"><a href=\"https:\/\/arxiv.org\/pdf\/1511.07763.pdf\">extended technical report<\/a><\/span> and <span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/gidariss\/LocNet\/\">code repository<\/a><\/span>.<\/li>\n<li><strong><a id=\"Gidaris-Komodakis-BMVC-2016\"><\/a>[Gidaris &amp; Komodakis BMVC 2016]<\/strong><br \/>\n<strong><a href=\"https:\/\/arxiv.org\/pdf\/1606.04446.pdf\">Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization<\/a>.<\/strong> Spyros Gidaris, Nikos Komodakis. 27th British Machine Vision Conference (<strong>BMVC 2016<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/gidariss\/AttractioNet\">code repository<\/a><\/span>.<\/li>\n<li><strong><a id=\"Gidaris-Komodakis-CVPR-2017\"><\/a>[Gidaris &amp; Komodakis CVPR 2017]<\/strong><br \/>\n<strong><a href=\"http:\/\/openaccess.thecvf.com\/content_cvpr_2017\/papers\/Gidaris_Detect_Replace_Refine_CVPR_2017_paper.pdf\">Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling<\/a>.<\/strong> Spyros Gidaris, Nikos Komodakis. IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2017<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"https:\/\/hal.archives-ouvertes.fr\/hal-01976855\/document\">extended technical report<\/a><\/span>\u00a0with preliminary results in semantic segmentation tasks as well as the\u00a0<span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/gidariss\/DRR_struct_pred\">result repository<\/a><\/span>.<\/li>\n<li><strong><a id=\"Gidaris-Komodakis-CVPR-2018\"><\/a>[Gidaris &amp; Komodakis CVPR 2018]<\/strong><br \/>\n<strong><a href=\"http:\/\/openaccess.thecvf.com\/content_cvpr_2018\/papers\/Gidaris_Dynamic_Few-Shot_Visual_CVPR_2018_paper.pdf\">Dynamic Few-Shot Visual Learning without Forgetting<\/a>.<\/strong>\u00a0Spyros Gidaris, Nikos Komodakis. IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2018<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/gidariss\/FewShotWithoutForgetting\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Gidaris-et-al-ICLR-2018\"><\/a>[Gidaris et al. ICLR 2018]<\/strong><br \/>\n<strong><a href=\"https:\/\/arxiv.org\/pdf\/1803.07728\">Unsupervised Representation Learning by Predicting Image Rotations<\/a>.<\/strong>\u00a0Spyros Gidaris, Praveer Singh, Nikos Komodakis. International Conference on Learning Representations (<strong>ICLR 2018<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"https:\/\/github.com\/gidariss\/FeatureLearningRotNet\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Jampani-et-al-WACV-2015\"><\/a>[Jampani et al. WACV 2015]<\/strong><br \/>\n<strong><a href=\"http:\/\/files.is.tue.mpg.de\/vjampani\/jampani15_wacv.pdf\">Efficient Facade Segmentation using Auto-Context<\/a>.<\/strong>\u00a0Varun Jampani, Raghudeep Gadde, Peter V. Gehler. IEEE Winter Conference on Applications of Computer Vision (<strong>WACV 2015<\/strong>).\u00a0See also the\u00a0<a href=\"https:\/\/ps.is.tuebingen.mpg.de\/research_projects\/facade-segmentation\"><span style=\"text-decoration: underline;\">project page<\/span><\/a>.<\/li>\n<li><strong><a id=\"Kozinski-Marlet-WACV-2014\"><\/a>[Kozi\u0144ski &amp; Marlet WACV 2014]<\/strong><br \/>\n<strong><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/WACV-2014-Kozinski-Marlet.pdf\">Image Parsing with Graph Grammars and Markov Random Fields<\/a>.<\/strong>\u00a0Mateusz Kozi\u0144ski, Renaud Marlet. IEEE Winter Conference on Applications of Computer Vision (<strong>WACV 2014<\/strong>).<strong> (a)<\/strong><\/li>\n<li><strong><a id=\"Kozinski-et-al-ACCV-2014\"><\/a>[Kozi\u0144ski et al. ACCV 2014]<\/strong><br \/>\n<strong><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/ACCV-2014-Kozinski-et-al.pdf\">Beyond procedural facade parsing: Bidirectional alignment via linear programming<\/a>.<\/strong> Mateusz Kozi\u0144ski, Guillaume Obozinski, Renaud Marlet. In 12th Asian Conference on Computer Vision (<strong>ACCV 2014<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/ACCV-2014-Kozinski-et-al_supp.pdf\">supplementary material<\/a><\/span>.<\/li>\n<li><strong><a id=\"Kozinski-et al-CVPR-2015\"><\/a>[Kozi\u0144ski et al. CVPR 2015]<\/strong><br \/>\n<strong><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/CVPR-2015-Kozinski-et-al.pdf\">A MRF Shape Prior for Facade Parsing with Occlusions<\/a>.<\/strong> Mateusz Kozi\u0144ski, Raghudeep Gadde, Sergey Zagoruyko, Renaud Marlet, Guillaume Obozinski. In 28th IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2015<\/strong>).\u00a0See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/CVPR-2015-Kozinski-et-al_supp.pdf\">supplementary material<\/a><\/span>.<\/li>\n<li><strong><a id=\"Kozinski-et-al-NeurIPSw-2017\"><\/a>[Kozi\u0144ski et al. NeurIPSw 2017]<\/strong><br \/>\n<strong><a href=\"https:\/\/arxiv.org\/pdf\/1702.02382.pdf\">An Adversarial Regularisation for Semi-Supervised Training of Structured Output Neural Networks<\/a>.<\/strong> Mateusz Kozi\u0144ski, Lo\u00efc Simon, Fr\u00e9d\u00e9ric Jurie. Limited Labeled Data workshop at Neural Information Processing Systems (<strong>NeurIPSw 2017<\/strong>).<\/li>\n<li><strong><a id=\"Lee-et-al-ICCP-2015\"><\/a>[Lee et al. ICCP 2015]<\/strong><br \/>\n<strong><a href=\"http:\/\/www.di.ens.fr\/~josef\/publications\/Lee15.pdf\">Linking Past to Present: Discovering Style in Two Centuries of Architecture<\/a>.<\/strong> Stefan Lee, Nicolas Maisonneuve, Alexei Efros, Josef Sivic, David Crandall, International Conference on Computational Photography (<strong>ICCP 2015<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/files.is.tue.mpg.de\/vjampani\/jampani15_wacv-supp.pdf\">supplementary material<\/a><\/span>, the\u00a0<span style=\"text-decoration: underline;\"><a href=\"http:\/\/vision.soic.indiana.edu\/projects\/linking-past-to-present\/\">project page<\/a><\/span>. and the <a href=\"http:\/\/vision.soic.indiana.edu\/paris\/vis\/\">interactive online demo<\/a>.<\/li>\n<li><strong><a id=\"Massa-et-al-CVPR-2016\"><\/a>[Massa et al. CVPR 2016]<\/strong><br \/>\n<strong><a href=\"https:\/\/arxiv.org\/pdf\/1512.02497.pdf\">Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views<\/a>.<\/strong> Francisco Massa, Bryan Russell, Mathieu Aubry. IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2016<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/imagine.enpc.fr\/~suzano-f\/exemplar-cnn\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Massa-et-al-BMVC-2016\"><\/a>[Massa et al. BMVC 2016]<\/strong><br \/>\n<strong><a href=\"http:\/\/imagine.enpc.fr\/~marletr\/publi\/BMVC-2016-Massa-et-al.pdf\">Crafting a multi-task CNN for viewpoint estimation<\/a>.<\/strong> Francisco Massa, Renaud Marlet, Mathieu Aubry. 27th British Machine Vision Conference (<strong>BMVC 2016<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/imagine.enpc.fr\/~suzano-f\/bmvc2016-pose\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Oquab-et-al-CVPR-2015\"><\/a>[Oquab et al. CVPR 2015]<\/strong><br \/>\n<strong><a href=\"http:\/\/www.di.ens.fr\/~josef\/publications\/Oquab15.pdf\">Is object localization for free? &#8211; Weakly-supervised learning with convolutional neural networks<\/a>.<\/strong> Maxime Oquab, L\u00e9on Bottou, Ivan Laptev, Josef Sivic.\u00a0IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2015<\/strong>).<\/li>\n<li><strong><a id=\"Ortiz-Cayon-et-al-3DV-2015\"><\/a>[Ortiz-Cayon et al. 3DV 2015]<\/strong><br \/>\n<strong><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2015\/ODD15\/Ortiz-Cayon_3DV2015.pdf\">A Bayesian Approach for Selective Image-Based Rendering using Superpixels<\/a>.<\/strong> Rodrigo Ortiz-Cayon, Abdelaziz Djelouah, George Drettakis. International Conference on 3D Vision (<strong>3DV 2015<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2015\/ODD15\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Ortiz-Cayon-et-al-3DV-2016\"><\/a>[Ortiz-Cayon et al. 3DV 2016]<\/strong><br \/>\n<strong><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/ODMAD16\/final_mixedIBR.pdf\">Automatic 3D Car Model Alignment for Mixed Image-Based Rendering<\/a>.<\/strong> Rodrigo Ortiz-Cayon, Abdelaziz Djelouah, Francisco Massa, Mathieu Aubry, George Drettakis. International Conference on 3D Vision (<strong>3DV 2016<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/ODMAD16\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Philip-Drettakis-I3D-2018\"><\/a>[Philip &amp; Drettakis I3D 2018]<\/strong><br \/>\n<strong><a href=\"https:\/\/www-sop.inria.fr\/reves\/Basilic\/2018\/PD18\/philip2018mvplanarInpaint.pdf\">Plane-Based Multi-View Inpainting for Image-Based Rendering in Large Scenes<\/a>.<\/strong>\u00a0Julien Philip, George Drettakis.\u00a0ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (<strong>I3D 2018<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"https:\/\/www-sop.inria.fr\/reves\/Basilic\/2018\/PD18\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Rocco-et-al-CVPR-2017\"><\/a>[Rocco et al. CVPR 2017]<\/strong><br \/>\n<strong><a href=\"http:\/\/www.di.ens.fr\/~josef\/publications\/Rocco17.pdf\">Convolutional Neural Network Architecture for Geometric Matching<\/a>.<\/strong> Ignacio Rocco, Relja Arandjelovic, Josef Sivic. IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2017<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.di.ens.fr\/willow\/research\/cnngeometric\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Thonat-et-al-3DV-2016\"><\/a>[Thonat et al. 3DV 2016]<\/strong><br \/>\n<strong><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/TSPD16\/final_MVInpainting.pdf\">Multi-View Inpainting for Image-Based Scene Editing and Rendering<\/a>.<\/strong> Theo Thonat, Eli Shechtman, Sylvain Paris, George Drettakis. International Conference on 3D Vision (<strong>3DV 2016<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www-sop.inria.fr\/reves\/Basilic\/2016\/TSPD16\/\">project page<\/a><\/span>.<\/li>\n<li><strong><a id=\"Torii-et-al-CVPR-2015\"><\/a>[Torii et al. CVPR 2015]<\/strong><br \/>\n<strong><a href=\"http:\/\/www.di.ens.fr\/~josef\/publications\/Torii15.pdf\">24\/7 place recognition by view synthesis<\/a>.<\/strong> Akihiko Torii, Relja Arandjelovic, Josef Sivic, Masatoshi Okutomi, Tomas Pajdla. IEEE Conference on Computer Vision and Pattern Recognition (<strong>CVPR 2015<\/strong>). See also the <span style=\"text-decoration: underline;\"><a href=\"http:\/\/www.ok.ctrl.titech.ac.jp\/~torii\/project\/247\/\">project page<\/a><\/span>.<\/li>\n<\/ol>\n<h4>Technical report<\/h4>\n<ol>\n<li><strong><a id=\"&quot;Keriven-Acute3D-report-2019\"><\/a>[Keriven Acute3D report 2019]<\/strong><br \/>\n<strong>Am\u00e9lioration de la reconstruction 3D.<\/strong> Renaud Keriven. Acute3D \/ Bentley Systems technical report, 2019. In French. Confidential.<\/li>\n<\/ol>\n<h4>Awards<\/h4>\n<p>Spyros Gidaris, PhD student funded by Semapolis, received two awards for his thesis entitled \u00ab\u00a0Effective and annotation-efficient deep learning for image understanding\u00a0\u00bb:<\/p>\n<ol>\n<li>the <a href=\"http:\/\/www.enpc.fr\/prix-de-these-des-ponts-2019-les-resultats\">best PhD thesis award (2019)<\/a>\u00a0from <a href=\"http:\/\/www.enpc.fr\/en\">Ecole des Ponts ParisTech<\/a>,<\/li>\n<li>the <a href=\"https:\/\/www.univ-paris-est.fr\/evenements\/evenement\/9ca2fa43ca68cce620d7ba8dfc59f7d0\/?tx_news_pi1%5Bnews%5D=773&amp;tx_news_pi1%5Bcontroller%5D=News&amp;tx_news_pi1%5Baction%5D=detail&amp;tx_news_pi1%5Bday%5D=5&amp;tx_news_pi1%5Bmonth%5D=11&amp;tx_news_pi1%5Byear%5D=2019\">best PhD thesis award (2019)<\/a>\u00a0from <a href=\"https:\/\/www.univ-paris-est.fr\">University of Paris-Est<\/a> (<a href=\"https:\/\/www.univ-paris-est.fr\/ecoles-doctorales\/ecole-doctorale-mathematiques-et-stic-mstic\/accueil\/\">Mathematics and ICT doctoral school<\/a>).<\/li>\n<\/ol>\n<h3>Legend<\/h3>\n<ul>\n<li>Mark \u00ab\u00a0<strong>(a)<\/strong>\u00a0\u00bb after a publication indicates that the work was initiated\u00a0before the official Semapolis starting date (Oct. 1st 2013), but was finished with the support of the project.<\/li>\n<li>Mark \u00ab\u00a0<strong>(b)<\/strong>\u00a0\u00bb\u00a0after a publication indicates that the acknowledgment to the ANR and reference to Semapolis was forgotten in the final version of the paper. (The\u00a0acknowledgment is generally not present in the first, submitted version of the paper because of the blind review process.)<\/li>\n<\/ul>\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>D\u00e9sol\u00e9, cet article est seulement disponible en English. International Journals [Arandjelovic et al. PAMI 2017] NetVLAD: CNN architecture for weakly supervised place recognition. Relja Arandjelovic, Petr Gronat, Akihiko Torii, Tomas Pajdla, Josef Sivic. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2017). See also the\u00a0project page. [Aubry et al. TOG 2104] Painting-to-3D Model Alignment &hellip; <\/p>\n<p><a class=\"more-link btn\" href=\"https:\/\/project.inria.fr\/semapolis\/fr\/publications\/\">Lire la suite<\/a><\/p>\n","protected":false},"author":377,"featured_media":66,"parent":0,"menu_order":30,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-57","page","type-page","status-publish","has-post-thumbnail","hentry","nodate","item-wrap"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/semapolis\/fr\/wp-json\/wp\/v2\/pages\/57","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/semapolis\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/semapolis\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/semapolis\/fr\/wp-json\/wp\/v2\/users\/377"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/semapolis\/fr\/wp-json\/wp\/v2\/comments?post=57"}],"version-history":[{"count":79,"href":"https:\/\/project.inria.fr\/semapolis\/fr\/wp-json\/wp\/v2\/pages\/57\/revisions"}],"predecessor-version":[{"id":381,"href":"https:\/\/project.inria.fr\/semapolis\/fr\/wp-json\/wp\/v2\/pages\/57\/revisions\/381"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/semapolis\/fr\/wp-json\/wp\/v2\/media\/66"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/semapolis\/fr\/wp-json\/wp\/v2\/media?parent=57"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}