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FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.

P. Melzi, R. Tolosana, R. Vera-Rodríguez, M. Kim, C. Rathgeb, X. Liu, I. DeAndres-Tame, A. Morales, J. Fiérrez, J. Ortega-Garcia, W. Zhao, X. Zhu, Z. Yan, X. Zhang, J. Wu, Z. Lei, S. Tripathi, M. Kothari, M. Zama, D. Deb, B. Biesseck, P. Vidal, R. Granada, G. Fickel, G. Führ, D. Menotti, A. Unnervik, A. George, C. Ecabert, H. Otroshi-Shahreza, P. Rahimi, S. Marcel, I. Sarridis, C. Koutlis, G. Baltsou, S. Papadopoulos, C. Diou, N. Domenico, G. Borghi, L. Pellegrini, E. Mas-Candela, Á. Sánchez-Pérez, A. Atzori, G. Fenu, F. Boutros, M. Marras, and N. Damer. WACV (Workshops), page 892-901. IEEE, (2024)

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Djiby Diouf

Boubacar Diouf

Idriss Diouri

Madiagne Diouf

Youssef Diouane

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Identification of semantics: balancing between complexity and validity.M. Falelakis, C. Diou, and A. Delopoulos. MMSP, page 434-437. IEEE, (2004)Online training of concept detectors for image retrieval using streaming clickthrough data.I. Sarafis, C. Diou, and A. Delopoulos. Eng. Appl. Artif. Intell., (2016)Reliability and effectiveness of clickthrough data for automatic image annotation.T. Tsikrika, C. Diou, A. de Vries, and A. Delopoulos. Multim. Tools Appl., 55 (1): 27-52 (2011)VITALAS at TRECVID-2009.C. Diou, N. Dimitriou, P. Panagiotopoulos, C. Papachristou, A. Delopoulos, G. Stephanopoulos, H. Rode, T. Tsikrika, A. de Vries, D. Schneider and 19 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2009)An Improved Neural Network Model for Treatment Effect Estimation.N. Kiriakidou, and C. Diou. AIAI (2), volume 647 of IFIP Advances in Information and Communication Technology, page 147-158. Springer, (2022)Automated Extraction of Food Intake Indicators from Continuous Meal Weight Measurements.V. Papapanagiotou, C. Diou, B. Langlet, I. Ioakimidis, and A. Delopoulos. IWBBIO (2), volume 9044 of Lecture Notes in Computer Science, page 35-46. Springer, (2015)Combining PENCIL with AMDIM for image classification with noisy and sparsely labeled data.A. Petropoulos, and C. Diou. SETN, page 93-96. ACM, (2020)Collecting big behavioral data for measuring behavior against obesity.V. Papapanagiotou, I. Sarafis, C. Diou, I. Ioakimidis, E. Charmandari, and A. Delopoulos. EMBC, page 5296-5299. IEEE, (2020)A novel approach for chewing detection based on a wearable PPG sensor.V. Papapanagiotou, C. Diou, L. Zhou, J. van den Boer, M. Mars, and A. Delopoulos. EMBC, page 6485-6488. IEEE, (2016)Data-driven assessments for sensor measurements of eating behavior.C. Diou, I. Sarafis, I. Ioakimidis, and A. Delopoulos. BHI, page 129-132. IEEE, (2017)

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Disambiguation of "Diou, Christos"

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FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.

Please choose a person to relate this publication to

Djiby Diouf

Boubacar Diouf

Idriss Diouri

Madiagne Diouf

Youssef Diouane

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Diou, Christos"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.

Please choose a person to relate this publication to

Djiby Diouf

Boubacar Diouf

Idriss Diouri

Madiagne Diouf

Youssef Diouane

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
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FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data.