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Author |
Enric Marti; Xavier Binefa; G.EstapeRV |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Caronte, plataforma para la gestión de la actividad docente de una asignatura. Análisis de su impacto en ingenierías, para su adaptación al EEES |
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2008 |
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, Ministerio de Ciencia e Innovacion, DGU |
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Direccion General de Universidades |
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IAM;OR;RV |
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no |
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IAM @ iam @ MBE2008 |
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1589 |
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Author |
Enric Marti; J. Rocarias; Petia Radeva; H. Tizon; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Caronte. Un gestor documental para asignaturas de universidad en el EEES |
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Miscellaneous |
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2007 |
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Desarrollo de gestion de grupos, encuestas y autoevaluacion, MoodleMoot 2007 |
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IAM;OR;MILAB;MV |
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no |
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BCNPCL @ bcnpcl @ MRR2007b |
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1128 |
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Enric Marti; Jaume Rocarias; Petia Radeva; Ricardo Toledo; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Caronte: diseño, implementación y mejora de actividades de evaluación y primeras experiencias en asignaturas |
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2008 |
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Lleida |
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IAM;RV;OR;MILAB;ADAS;MV |
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IAM @ iam @ MRR2008 |
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1612 |
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Enric Marti; Jaume Rocarias; Ricardo Toledo |
![goto web page url](img/www.gif)
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Caronte: gestión flexible de grupos de alumnos en asignaturas de universidad y actividades sobre estos grupos |
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Miscellaneous |
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2008 |
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Nueva actividad de control, MoodleMoot 2008 |
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Barcelona |
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IAM;RV;ADAS |
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IAM @ iam @ MRT2008b |
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1618 |
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Enric Marti; Jaume Rocarias; Petia Radeva; Ricardo Toledo; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Caronte: implementació i millora d activitats d avaluació i primeres experiències amb diferents organitzacions docents |
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Miscellaneous |
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2007 |
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IV Jornades d’Innovació Docent UAB |
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Bellaterra (Spain) |
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IAM;RV;OR;MILAB;ADAS;MV |
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IAM @ iam @ MRR2007 |
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1614 |
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Permanent link to this record |
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Author |
Enric Marti; Jaume Rocarias; Ricardo Toledo; Aura Hernandez-Sabate |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Caronte: plataforma Moodle con gestion flexible de grupos. Primeras experiencias en asignaturas de Ingenieria Informatica |
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Miscellaneous |
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Year |
2009 |
Publication |
15th Jornadas de Enseñanza Universitaria de la Informatica |
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461–468 |
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En este artículo se presenta Caronte, entorno LMS (Learning Management System) basado en Moodle. Una característica importante del entorno es la gestión flexible de grupos en una asignatura. Entendemos por grupo un conjunto de alumnos que realizan un trabajo y uno de ellos entrega la actividad propuesta (práctica, encuesta, etc.) en representación del grupo. Hemos trabajado en la confección de estos grupos, implementando un sistema de inscripción por contraseña.
Caronte ofrece un conjunto de actividades basadas en este concepto de grupo: encuestas, tareas (entrega de trabajos o prácticas), encuestas de autoevaluación y cuestionarios, entre otras.
Basada en nuestra actividad de encuesta, hemos definido una actividad de Control, que permite un cierto feedback electrónico del profesor sobre la actividad de los alumnos.
Finalmente, se presenta un resumen de las experiencias de uso de Caronte sobre asignaturas de Ingeniería Informática en el curso 2007-08. |
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Barcelona, Spain |
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978-84-692-2758-9 |
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JENUI |
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IAM;RV;ADAS |
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IAM @ iam @ MRT2009 |
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1202 |
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Author |
Enric Marti; J. Rocarias; A. Sanchez; Petia Radeva; Ricardo Toledo; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Caronte: un gestor documental para asignaturas del EEES |
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Miscellaneous |
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Year |
2006 |
Publication |
III Jornades de Innovacio Docent |
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UAB, Bellaterra |
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IAM;RV;OR;MILAB;ADAS;MV |
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no |
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BCNPCL @ bcnpcl @ MRS2006b |
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1124 |
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Permanent link to this record |
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Author |
Enric Marti; J. Rocarias; A. Sanchez; Petia Radeva; Ricardo Toledo; Jordi Vitria |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Caronte: una propuesta de entorno de gestion documental para asignaturas de Ingenieria Informatica |
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Miscellaneous |
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2006 |
Publication |
IV Congreso Internacional Docencia Universitaria e Innovacion (CIDUI´06) |
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Barcelona |
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IAM;RV;OR;MILAB;ADAS;MV |
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BCNPCL @ bcnpcl @ MRS2006a |
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1122 |
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Author |
Chen Zhang; Maria del Mar Vila Muñoz; Petia Radeva; Roberto Elosua; Maria Grau; Angels Betriu; Elvira Fernandez-Giraldez; Laura Igual |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Carotid Artery Segmentation in Ultrasound Images |
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Conference Article |
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2015 |
Publication |
Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT2015), Joint MICCAI Workshops |
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Munich; Germany; October 2015 |
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CVII-STENT |
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MILAB |
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no |
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Admin @ si @ ZVR2015 |
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2675 |
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Author |
G.Blasco; Simone Balocco; J.Puig; J.Sanchez-Gonzalez; W.Ricart; J.Daunis-I-Estadella; X.Molina; S.Pedraza; J.M.Fernandez-Real |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Carotid pulse wave velocity by magnetic resonance imaging is increased in middle-aged subjects with the metabolic syndrome |
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Journal Article |
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2015 |
Publication |
International Journal of Cardiovascular Imaging |
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ICJI |
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31 |
Issue |
3 |
Pages |
603-612 |
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Metabolic syndrome; Arterial stiffness; Pulse wave velocity; Carotid artery; Magnetic resonance |
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Abstract |
Arterial pulse wave velocity (PWV), an independent predictor of cardiovascular disease, physiologically increases with age; however, growing evidence suggests metabolic syndrome (MetS) accelerates this increase. Magnetic resonance imaging (MRI) enables reliable noninvasive assessment of arterial stiffness by measuring arterial PWV in specific vascular segments. We investigated the association between the presence of MetS and its components with carotid PWV (cPWV) in asymptomatic subjects without diabetes. We assessed cPWV by MRI in 61 individuals (mean age, 55.3 ± 14.1 years; median age, 55 years): 30 with MetS and 31 controls with similar age, sex, body mass index, and LDL-cholesterol levels. The study population was dichotomized by the median age. To remove the physiological association between PWV and age, unpaired t tests and multiple regression analyses were performed using the residuals of the regression between PWV and age. cPWV was higher in middle-aged subjects with MetS than in those without (p = 0.001), but no differences were found in elder subjects (p = 0.313). cPWV was associated with diastolic blood pressure (r = 0.276, p = 0.033) and waist circumference (r = 0.268, p = 0.038). The presence of MetS was associated with increased cPWV regardless of age, sex, blood pressure, and waist (p = 0.007). The MetS components contributing independently to an increased cPWV were hypertension (p = 0.018) and hypertriglyceridemia (p = 0.002). The presence of MetS is associated with an increased cPWV in middle-aged subjects. In particular, hypertension and hypertriglyceridemia may contribute to early progression of carotid stiffness. |
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Springer Netherlands |
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1569-5794 |
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MILAB |
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Admin @ si @ BBP2015 |
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2670 |
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Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
![download PDF file pdf](img/file_PDF.gif)
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Cascade analysis for intestinal contraction detection |
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Conference Article |
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Year |
2006 |
Publication |
20th International Congress and exhibition Computer Assisted Radiology and Surgery |
Abbreviated Journal |
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9-10 |
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intestine video analysis, anisotropic features, support vector machine, cascade of classifiers |
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Abstract |
In this work, we address the study of intestinal contractions in a novel approach based on a machine learning framework to process data from Wireless Capsule Video Endoscopy. Wireless endoscopy represents a unique way to visualize the intestine motility by creating long videos to visualize intestine dynamics. In this paper we argue that to analyze huge amount of wireless endoscopy data and define robust methods for contraction detection we should base our approach on sophisticated machine learning techniques. In particular, we propose a cascade of classifiers in order to remove different physiological phenomenon and obtain the motility pattern of small intestines. Our results show obtaining high specificity and sensitivity rates that highlight the high efficiency of the selected approach and support the feasibility of the proposed methodology in the automatic detection and analysis of intestine contractions. |
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Osaka (Japan) |
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800 |
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CARS |
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MV;OR;MILAB;SIAI |
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no |
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BCNPCL @ bcnpcl @ VSV2006a; IAM @ iam @ VSV2006h |
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726 |
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Author |
Petia Radeva; Jordi Vitria; Fernando Vilariño; Panagiota Spyridonos; Fernando Azpiroz; Juan Malagelada; Fosca de Iorio; Anna Accarino |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Cascade analysis for intestinal contraction detection |
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Patent |
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Year |
2009 |
Publication |
US 2009/0284589 A1 |
Abbreviated Journal |
USPO |
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1-25 |
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A method and system cascade analysisi for intestinal contraction detection is provided by extracting from image frames captured in-vivo. The method and system also relate to the detection of turbid liquids in intestinal tracts, to automatic detection of video image frames taken in the gastrointestinal tract including a field of view obstructed by turbid media, and more particulary, to extraction of image data obstructed by turbid media. |
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US Patent Office |
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US Patent Office |
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MILAB; OR; MV;SIAI |
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IAM @ iam @ RVV2009 |
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1700 |
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Author |
Daniel Ponsa; Antonio Lopez |
![download PDF file pdf](img/file_PDF.gif)
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
Cascade of Classifiers for Vehicle Detection |
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Conference Article |
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Year |
2007 |
Publication |
Advanced Concepts for Intelligent Vision Systems, LNCS 4678, volume 1, pp. 980–989 |
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vehicle detection |
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Delft (Netherlands) |
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ADAS |
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no |
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ADAS @ adas @ PoL2007c |
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935 |
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Author |
Ajian Liu; Zichang Tan; Jun Wan; Sergio Escalera; Guodong Guo; Stan Z. Li |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-Ethnicity Face Anti-Spoofing |
Type |
Conference Article |
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Year |
2021 |
Publication |
IEEE Winter Conference on Applications of Computer Vision |
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1178-1186 |
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The issue of ethnic bias has proven to affect the performance of face recognition in previous works, while it still remains to be vacant in face anti-spoofing. Therefore, in order to study the ethnic bias for face anti-spoofing, we introduce the largest CASIA-SURF Cross-ethnicity Face Anti-spoofing (CeFA) dataset, covering 3 ethnicities, 3 modalities, 1,607 subjects, and 2D plus 3D attack types. Five protocols are introduced to measure the affect under varied evaluation conditions, such as cross-ethnicity, unknown spoofs or both of them. As our knowledge, CASIA-SURF CeFA is the first dataset including explicit ethnic labels in current released datasets. Then, we propose a novel multi-modal fusion method as a strong baseline to alleviate the ethnic bias, which employs a partially shared fusion strategy to learn complementary information from multiple modalities. Extensive experiments have been conducted on the proposed dataset to verify its significance and generalization capability for other existing datasets, i.e., CASIA-SURF, OULU-NPU and SiW datasets. The dataset is available at https://sites.google.com/qq.com/face-anti-spoofing/welcome/challengecvpr2020?authuser=0. |
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Virtual; January 2021 |
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WACV |
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HUPBA; no proj |
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Admin @ si @ LTW2021 |
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3661 |
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Shifeng Zhang; Ajian Liu; Jun Wan; Yanyan Liang; Guogong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z. Li |
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Title ![sorted by Title field, ascending order (up)](img/sort_asc.gif) |
CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing |
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2020 |
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IEEE Transactions on Biometrics, Behavior, and Identity Science |
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TTBIS |
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2 |
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2 |
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182 - 193 |
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Face anti-spoofing is essential to prevent face recognition systems from a security breach. Much of the progresses have been made by the availability of face anti-spoofing benchmark datasets in recent years. However, existing face anti-spoofing benchmarks have limited number of subjects (≤170) and modalities (≤2), which hinder the further development of the academic community. To facilitate face anti-spoofing research, we introduce a large-scale multi-modal dataset, namely CASIA-SURF, which is the largest publicly available dataset for face anti-spoofing in terms of both subjects and modalities. Specifically, it consists of 1,000 subjects with 21,000 videos and each sample has 3 modalities ( i.e. , RGB, Depth and IR). We also provide comprehensive evaluation metrics, diverse evaluation protocols, training/validation/testing subsets and a measurement tool, developing a new benchmark for face anti-spoofing. Moreover, we present a novel multi-modal multi-scale fusion method as a strong baseline, which performs feature re-weighting to select the more informative channel features while suppressing the less useful ones for each modality across different scales. Extensive experiments have been conducted on the proposed dataset to verify its significance and generalization capability. The dataset is available at https://sites.google.com/qq.com/face-anti-spoofing/welcome/challengecvpr2019?authuser=0 |
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HuPBA; no proj |
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Admin @ si @ ZLW2020 |
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3412 |
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