Publication list - Idiap Publications

Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding, Milos Cernak, Alexandros Lazaridis, Afsaneh Asaei and Philip N. Garner, in: IEEE/ACM Trans. on Audio, Speech and Language Processing, 2016

Stress and Accent Transmission In HMM-Based Syllable-Context Very Low Bit Rate Speech Coding, Milos Cernak, Alexandros Lazaridis, Philip N. Garner and Petr Motlicek, in: Interspeech, 2014

Stress and Accent Transmission In HMM-Based Syllable-Context Very Low Bit Rate Speech Coding, Milos Cernak, Alexandros Lazaridis, Philip N. Garner and Petr Motlicek, Idiap-RR-10-2014

ON THE (UN)IMPORTANCE OF THE CONTEXTUAL FACTORS IN HMM-BASED SPEECH SYNTHESIS AND CODING, Milos Cernak, Petr Motlicek and Philip N. Garner, Idiap-RR-06-2013

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

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture, Milos Cernak, Xingyu Na and Philip N. Garner, in: Proc. of Interspeech 2013, Lyon, France, 2013

Syllable-based Pitch Encoding for Low Bit Rate Speech Coding with Recognition/Synthesis Architecture, Milos Cernak, Xingyu Na and Philip N. Garner, Idiap-RR-24-2013

On the Impact of Non-modal Phonation On Phonological Features, Milos Cernak, Elmar Nöth, Frank Rudzicz, Heidi Christensen, Juan Rafael Orozco-Arroyave, Raman Arora, Tobias Bocklet, Hamidreza Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Juan Camilo Vasquez, Maria Yancheva, Alyssa Vann and Nikolai Vogler, in: Proceedings of 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), 2017

On the impact of non-modal phonation on phonological features, Milos Cernak, Elmar Nöth, Frank Rudzicz, Heidi Christensen, Juan Rafael Orozco-Arroyave, Raman Arora, Tobias Bocklet, Hamidreza Chinaei, Julius Hannink, Phani Sankar Nidadavolu, Juan Camilo Vasquez, Maria Yancheva, Alyssa Vann and Nikolai Vogler, Idiap-RR-28-2016

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features, Milos Cernak, Juan Rafael Orozco-Arroyave, Frank Rudzicz, Heidi Christensen, Juan Camilo Vasquez-Correa and Elmar Nöth, Idiap-RR-16-2017

Characterisation of voice quality of Parkinson's disease using differential phonological posterior features, Milos Cernak, Juan Rafael Orozco-Arroyave, Frank Rudzicz, Heidi Christensen, Juan Camilo Vasquez-Correa and Elmar Nöth, in: Computer Speech and Language, 2017

Phonological vocoding using artificial neural networks, Milos Cernak, Blaise Potard and Philip N. Garner, Idiap-RR-04-2015

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

NASAL SPEECH SOUNDS DETECTION USING CONNECTIONIST TEMPORAL CLASSIFICATION, Milos Cernak and Sibo Tong, Idiap-RR-28-2017

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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Competition on Counter Measures to 2-D Facial Spoofing Attacks, Murali Mohan Chakka, André Anjos, Sébastien Marcel, Roberto Tronci, Daniele Muntoni, Gianluca Fadda, Maurizio Pili, Nicola Sirena, Gabriele Murgia, Marco Ristori, Fabio Roli, Junjie Yan, Dong Yi, Zhen Lei, Zhiwei Zhang, Stan Z.Li, William Robson Schwartz, Anderson Rocha, Helio Pedrini, Javier Lorenzo-Navarro, Modesto Castrillón-Santana, Jukka Maatta, Abdenour Hadid and Matti Pietikainen, in: Proceedings of IAPR IEEE International Joint Conference on Biometrics (IJCB), Washington DC, USA, 2011

Direct inversion algorithm for focal plane scanning optical projection tomography, Kevin G. Chan and Michael Liebling, in: Biomedical Optics Express, 2017

A Point-Spread-Function-Aware Filtered Backprojection Algorithm for Focal-Plane-Scanning Optical Projection Tomography, Kevin G. Chan and Michael Liebling, in: 2016 IEEE International Symposium on Biomedical Imaging, 2016

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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Simultaneous temporal superresolution and denoising for cardiac fluorescence microscopy, Kevin G. Chan, Sebastian J. Streichan, Le A. Trinh and Michael Liebling, in: IEEE Transactions on Computational Imaging, 2016

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A Study on the Importance of Formant Transitions for Stop-Consonant Classification in VCV Sequence, Siddarth Chandrasekar, Arvind Ramesh, Tilak Purohit and Prasanta Kumar Ghosh, in: Interspeech, Dublin, Ireland, ISCA, 2023

A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of Trials, K. Chatzilygeroudis, A. Vassiliades, F. Stulp, Sylvain Calinon and J. -B. Mouret, in: IEEE Trans. on Robotics, 32(2):328-347, 2020

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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

To Err Is Human: Learning from Error Potentials in Brain-Computer Interfaces, Ricardo Chavarriaga, Pierre W. Ferrez and José del R. Millán, Idiap-RR-37-2007

Asynchronous detection and classification of oscillatory brain activity, Ricardo Chavarriaga, Ferran Galán and José del R. Millán, in: 16 European Signal Processing Conference, 2008

Asynchronous detection and classification of oscillatory brain activity, Ricardo Chavarriaga, Ferran Galán and José del R. Millán, Idiap-RR-36-2008

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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Deep Generative Models and Applications, Tatjana Chavdarova and Francois Fleuret, EPFL, 2020

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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

Taming GANs with Lookahead, Tatjana Chavdarova, Matteo Pagliardini, Martin Jaggi and Francois Fleuret, Idiap-RR-20-2020

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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

Combined Estimation of Location and Body Pose in Surveillance Video, Cheng Chen, Alexandre Heili and Jean-Marc Odobez, in: AVSS, 2011

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

We are not Contortionists: Coupled Adaptive Learning for Head and Body Orientation Estimation in Surveillance Video, Cheng Chen and Jean-Marc Odobez, in: IEEE International Conference on Computer Vision and Pattern Recognition, 2012

3D human pose recovery from image by efficient visual feature selection, Cheng Chen, Yi Yang, Feiping Nie and Jean-Marc Odobez, in: Computer Vision and Image Understanding, 115(3), 2011

Text detection and recognition in images and video sequences, Datong Chen, École Polytechnique Fédérale de Lausanne, 2003

Text detection and recognition in images and video sequences, Datong Chen, Idiap-RR-44-2003

Video OCR for Sport Video Annotation and Retrieval, Datong Chen and Hervé Bourlard, Idiap-RR-28-2001

Text Identification in Complex Background using SVM, Datong Chen, Hervé Bourlard and Jean-Philippe Thiran, in: Proceedings of the Int. Conf. on computer vision and pattern recognition, 2001

Text Identification in Complex Background using SVM, Datong Chen, Hervé Bourlard and Jean-Philippe Thiran, Idiap-RR-20-2001

A Survey of Text Detection and Recognition in Images and Videos, Datong Chen and Juergen Luettin, Idiap-RR-38-2000

Multiple Hypotheses Video OCR, Datong Chen and Juergen Luettin, in: Proceedings of the 4th International Workshop on Document Analysis System, 2000

Multiple Hypotheses Video OCR, Datong Chen and Juergen Luettin, Idiap-RR-28-2000

Video Text Recognition using Sequential Monte Carlo and Error Voting Methods, Datong Chen and Jean-Marc Odobez, in: Pattern Recognition Letters, 26(9), 2005