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All publications

2018
Towards Quantifying the Entropy of Fingervein Patterns across Different Feature Extractors, Vedrana Krivokuca and Sébastien Marcel, in: 2018 IEEE 4th International Conference on Identity, Security, and Behavior Analysis (ISBA), 2018
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Maya Codical Glyph Segmentation: A Crowdsourcing Approach, Gulcan Can, Jean-Marc Odobez and Daniel Gatica-Perez, in: IEEE Transactions on Multimedia, 20(3):711-725, 2018
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2017
Theories and Models of Teams and Group, R. Reiter-Palmon, T. Sinha, J. Gevers, Jean-Marc Odobez and G. Volpe, in: Small Group Research, 48(5):544--567, 2017
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Towards a breakthrough Speaker Identification approach for Law Enforcement Agencies: SIIP, Khaled Khelif, yann Mombrun, Gerhard Backfried, Farhan Sahito, Luca Scarpatto, Petr Motlicek, Damien Kelly, Gideon Hazzani, Emmanouil Chatzigavriil and Srikanth Madikeri, in: European Intelligence and Security Informatics Conference (EISIC) 2017, Athenes, Greece, pages 32-39, IEEE Computer Society, 2017
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Deep Multi-Camera People Detection, Tatjana Chavdarova and Francois Fleuret, in: Proceedings of the IEEE International Conference on Machine Learning and Applications, 2017
K-Medoids For K-Means Seeding, James Newling and Francois Fleuret, in: Proceedings of the international conference on Neural Information Processing Systems, 2017
Multi-Modal Mean-Fields via Cardinality-Based Clamping, Pierre Baqué, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, 2017
Non-Markovian Globally Consistent Multi-Object Tracking, Andrii Maksai, Xinchao Wang, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection, Pierre Baqué, Francois Fleuret and Pascal Fua, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
Weakly Supervised Learning of Deep Metrics for Stereo Reconstruction, Stepan Tulyakov, Anton Ivanov and Francois Fleuret, in: Proceedings of the IEEE International Conference on Computer Vision, 2017
Exploratory Study on Direct Prediction of Diabetes using Deep Residual Networks, Samaneh Abbasi-Sureshjani, Behdad Dasht Bozorg, Bart ter Haar Romeny and Francois Fleuret, in: Proceedings of the thematic conference on computational vision and medical image processing, 2017
INTRA-CLASS COVARIANCE ADAPTATION IN PLDA BACK-ENDS FOR SPEAKER VERIFICATION, Srikanth Madikeri, Marc Ferras, Petr Motlicek and Subhadeep Dey, in: Proceedings of International Conference on Acoustics, Speech and Signal Processing, pages 5365-5369, 2017
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The SUMMA Platform Prototype, Renars Liepins and et al., in: Proceedings of the EACL 2017 Software Demonstrations, Valencia, Spain, pages 116--119, 2017
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#Healthy #Fondue #Dinner: Analysis and Inference of Food and Drink Consumption Patterns on Instagram, Thanh-Trung Phan and Daniel Gatica-Perez, in: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017
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Examining Linguistic Content and Skill Impression Structure for Job Interview Analytics in Hospitality, Skanda Muralidhar and Daniel Gatica-Perez, in: Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017
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Supervisory teleoperation with online learning and optimal control, I. Havoutis and Sylvain Calinon, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Singapore, pages 1534-1540, IEEE, 2017
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Trajectory and Foothold Optimization using Low-Dimensional Models for Rough Terrain Locomotion, C. Mastalli, M. Focchi, I. Havoutis, A. Radulescu, Sylvain Calinon, J. Buchli, D. G. Caldwell and C. Semini, in: Proc. IEEE Intl Conf. on Robotics and Automation (ICRA), Singapore, pages 1096-1103, IEEE, 2017
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Learning Task-Space Synergies using Riemannian Geometry, M. Zeestraten, I. Havoutis, Sylvain Calinon and D. G. Caldwell, in: Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS), Vancouver, Canada, pages 73-78, IEEE, 2017
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Generating Calligraphic Trajectories with Model Predictive Control, D. Berio, Sylvain Calinon and F. F. Leymarie, in: Proc. 43rd Conf. on Graphics Interface, Edmonton, AL, Canada, pages 132-139, 2017
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Dynamic Graffiti Stylisation with Stochastic Optimal Control, D. Berio, Sylvain Calinon and F. F. Leymarie, in: Intl Workshop on movement and computing (MOCO), London, UK, pages 1-8, ACM, 2017
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Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning, Gulcan Can, École Polytechnique Fédérale de Lausanne, 2017
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Deeply Vulnerable -- a study of the robustness of face recognition to presentation attacks, Amir Mohammadi, Sushil Bhattacharjee and Sébastien Marcel, in: IET (The Institution of Engineering and Technology) -- Biometrics:1--13, 2017
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Non-parametric warping via local scale estimation for non-stationary Gaussian process modelling, Sébastien Marmin, Jean Baccou, Jacques Liandrat and David Ginsbourger, in: Wavelets and Sparsity XVII, pages 1039421, International Society for Optics and Photonics, 2017
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On Job Training: Automated Interpersonal Behavior Assessment & Real-Time Feedback, Skanda Muralidhar, in: Proceedings of the 25th ACM International Conference on Multimedia, 2017, 2017
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Bites'n'Bits: Inferring Eating Behavior from Contextual Mobile Data, Joan-Isaac Biel, Nathalie Martin, David Labbe and Daniel Gatica-Perez, in: Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (PACM IMWUT), 1(4):125-157, 2017
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What you can't see can help you -- extended-range imaging for 3D-mask presentation attack detection, Sushil Bhattacharjee and Sébastien Marcel, in: Proceedings of the 16th International Conference on Biometrics Special Interest Group., Darmstadt (Germany), Gesellschaft fuer Informatik e.V. (GI), 2017
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