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An Empirical Model of Emphatic Word Detection, Milos Cernak and Pierre-Edouard Honnet, in: Proc. of Interspeech, Dresden, Germany, pages 573-577, ISCA, 2015
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Robust triphone mapping for acoustic modeling, Milos Cernak, David Imseng and Hervé Bourlard, in: Proceedings of Interspeech, Portland, Oregon, 2012
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On the (Un)importance of the Contextual Factors In HMM-Based Speech Synthesis, Milos Cernak, Petr Motlicek and Philip N. Garner, in: Proceedings of the IEEE Intl. Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, Canada, pages 8140 - 8143, 2013
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Phonological Vocoding Using Artificial Neural Networks, Milos Cernak, Blaise Potard and Philip N. Garner, in: IEEE 40th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, pages 4844-4848, IEEE, 2015
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NASAL SPEECH SOUNDS DETECTION USING CONNECTIONIST TEMPORAL, Milos Cernak and Sibo Tong, in: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2018
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Intensity-Based Point-Spread-Function-Aware Registration for Multi-View Applications in Optical Microscopy, Nikhil Chacko, Kevin G. Chan and Michael Liebling, in: Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, pages 306-309, IEEE, 2015
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Estimation of Divergence-Free 3D Cardiac Blood Flow in a Zebrafish Larva Using Multi-View Microscopy, Kevin G. Chan and Michael Liebling, in: Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on, IEEE, Brooklyn, NY, USA, pages 385-388, 2015
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To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces, Ricardo Chavarriaga, Pierre W. Ferrez and José del R. Millán, in: 1st International Conference on Cognitive Neurodynamics (ICCN 2007), 2007
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WILDTRACK: A Multi-camera HD Dataset for Dense Unscripted Pedestrian Detection, Tatjana Chavdarova, Pierre Baqué, Andrii Maksai, Stéphane Bouquet, Cijo Jose, Louis Lettry, Francois Fleuret, Pascal Fua and Luc Van Gool, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pages 5030-5039, 2018
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SGAN: An Alternative Training of Generative Adversarial Networks, Tatjana Chavdarova and Francois Fleuret, in: Proceedings of the IEEE international conference on Computer Vision and Pattern Recognition, Salt Lake City, UT, pages 9407-9415, IEEE, 2018
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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
Reducing Noise in GAN Training with Variance Reduced Extragradient, Tatjana Chavdarova, Gauthier Gidel, Francois Fleuret and Simon Lacoste-Julien, in: Proceedings of the international conference on Neural Information Processing Systems, 2019
Stochastic Variance Reduced Gradient Optimization of Generative Adversarial Networks, Tatjana Chavdarova, Sebastian Stich, Martin Jaggi and Francois Fleuret, in: International Conference on Machine Learning (ICML) workshop on Theoretical Foundations and Applications of Deep Generative Models, 2018
International Conference on Mobile and Ubiquitous Multimedia, Gilberto Chávez-Martínez, Salvador Ruiz-Correa and Daniel Gatica-Perez, in: Happy and Agreeable? Multi-Label Classification of Impressions in Social Video, Linz, Austria, pages 109-120, ACM, 2015
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Learning a 3D Human Pose Distance Metric from Geometric Pose Descriptor, Cheng Chen, in: IEEE Transactions on Visualization and Computer Graphics, 17(11):1676-1689, 2011
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A Joint Estimation of Head and Body Orientation Cues in Surveillance Video, Cheng Chen, Alexandre Heili and Jean-Marc Odobez, in: IEEE International Workshop on Socially Intelligent Surveillance and Monitoring, 2011
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Text detection and recognition in images and video sequences, Datong Chen, École Polytechnique Fédérale de Lausanne, 2003
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