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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
Estefania Talavera; Petia Radeva; Nicolai Petkov |
![goto web page url](img/www.gif)
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Title |
Towards Emotion Retrieval in Egocentric PhotoStream |
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Miscellaneous |
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Year |
2019 |
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Arxiv |
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CoRR abs/1905.04107
The availability and use of egocentric data are rapidly increasing due to the growing use of wearable cameras. Our aim is to study the effect (positive, neutral or negative) of egocentric images or events on an observer. Given egocentric photostreams capturing the wearer's days, we propose a method that aims to assign sentiment to events extracted from egocentric photostreams. Such moments can be candidates to retrieve according to their possibility of representing a positive experience for the camera's wearer. The proposed approach obtained a classification accuracy of 75% on the test set, with a deviation of 8%. Our model makes a step forward opening the door to sentiment recognition in egocentric photostreams. |
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MILAB; no proj |
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no |
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Admin @ si @ TRP2019 |
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3381 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
Ester Fornells; Manuel De Armas; Maria Teresa Anguera; Sergio Escalera; Marcos Antonio Catalán; Josep Moya |
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Title |
Desarrollo del proyecto del Consell Comarcal del Baix Llobregat “Buen Trato a las personas mayores y aquellas en situación de fragilidad con sufrimiento emocional: Hacia un envejecimiento saludable” |
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2018 |
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Informaciones Psiquiatricas |
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232 |
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47-59 |
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0210-7279 |
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HUPBA; no menciona |
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Admin @ si @ FAA2018 |
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3214 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
Esteve Cervantes; Long Long Yu; Andrew Bagdanov; Marc Masana; Joost Van de Weijer |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Hierarchical Part Detection with Deep Neural Networks |
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Conference Article |
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2016 |
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23rd IEEE International Conference on Image Processing |
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Object Recognition; Part Detection; Convolutional Neural Networks |
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Part detection is an important aspect of object recognition. Most approaches apply object proposals to generate hundreds of possible part bounding box candidates which are then evaluated by part classifiers. Recently several methods have investigated directly regressing to a limited set of bounding boxes from deep neural network representation. However, for object parts such methods may be unfeasible due to their relatively small size with respect to the image. We propose a hierarchical method for object and part detection. In a single network we first detect the object and then regress to part location proposals based only on the feature representation inside the object. Experiments show that our hierarchical approach outperforms a network which directly regresses the part locations. We also show that our approach obtains part detection accuracy comparable or better than state-of-the-art on the CUB-200 bird and Fashionista clothing item datasets with only a fraction of the number of part proposals. |
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Phoenix; Arizona; USA; September 2016 |
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ICIP |
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LAMP; 600.106 |
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Admin @ si @ CLB2016 |
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2762 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
Eugenio Alcala; Laura Sellart; Vicenc Puig; Joseba Quevedo; Jordi Saludes; David Vazquez; Antonio Lopez |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Comparison of two non-linear model-based control strategies for autonomous vehicles |
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Conference Article |
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2016 |
Publication |
24th Mediterranean Conference on Control and Automation |
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846-851 |
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Autonomous Driving; Control |
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This paper presents the comparison of two nonlinear model-based control strategies for autonomous cars. A control oriented model of vehicle based on a bicycle model is used. The two control strategies use a model reference approach. Using this approach, the error dynamics model is developed. Both controllers receive as input the longitudinal, lateral and orientation errors generating as control outputs the steering angle and the velocity of the vehicle. The first control approach is based on a non-linear control law that is designed by means of the Lyapunov direct approach. The second approach is based on a sliding mode-control that defines a set of sliding surfaces over which the error trajectories will converge. The main advantage of the sliding-control technique is the robustness against non-linearities and parametric uncertainties in the model. However, the main drawback of first order sliding mode is the chattering, so it has been implemented a high order sliding mode control. To test and compare the proposed control strategies, different path following scenarios are used in simulation. |
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Athens; Greece; June 2016 |
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ADAS; 600.085; 600.082; 600.076 |
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ADAS @ adas @ ASP2016 |
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2750 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
Eva Costa |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Localitzacio i seguiment de persones amb una camera amb Pan, Tilt i Zoom |
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Report |
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2001 |
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CVC Technical Report #51 |
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CVC (UAB) |
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Admin @ si @ Cos2001 |
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87 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
F. de la Torre; Jordi Vitria; Petia Radeva; J. Melenchon |
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Title |
EigenFiltering for flexible Eigentracking. |
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Miscellaneous |
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2000 |
Publication |
15 th International Conference on Pattern Recognition, 3:1118–1121. |
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Barcelona. |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ TVR2000 |
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179 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
F. Javier Sanchez; Jordi Vitria |
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
ViLi + : Extended Lisp for image Processing and Computer Vision. |
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Conference Article |
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1994 |
Publication |
Progress in Image Analysis and Processing III |
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World Scientific |
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S.Impedovo |
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981-02-1552-5 |
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MV;OR |
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BCNPCL @ bcnpcl @ SaV1994; IAM @ iam @ SaV1994 |
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114 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
F. Javier Sanchez; Jordi Vitria; Enric Marti |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Transformaciones Morfológicas de Polígonos Isotéticos |
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Conference Article |
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1991 |
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Primer Congreso Español de Informática Gráfica. |
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OR;IAM;MV |
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IAM @ iam @ SVM1991 |
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1648 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
F. Javier Sanchez; Jorge Bernal |
![goto web page url](img/www.gif)
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Title |
Use of Software Tools for Real-time Monitoring of Learning Processes: Application to Compilers subject |
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Conference Article |
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2018 |
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4th International Conference of Higher Education Advances |
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1359-1366 |
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Monitoring; Evaluation tool; Gamification; Student motivation |
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The effective implementation of the Higher European Education Area has meant a change regarding the focus of the learning process, being now the student at its very center. This shift of focus requires a strong involvement and fluent communication between teachers and students to succeed. Considering the difficulties associated to motivate students to take a more active role in the learning process, we explore how the use of a software tool can help both actors to improve the learning experience. We present a tool that can help students to obtain instantaneous feedback with respect to their progress in the subject as well as providing teachers with useful information about the evolution of knowledge acquisition with respect to each of the subject areas. We compare the performance achieved by students in two academic years: results show an improvement in overall performance which, after observing graphs provided by our tool, can be associated to an increase in students interest in the subject. |
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Valencia; June 2018 |
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HEAD |
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MV; no proj |
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no |
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Admin @ si @ SaB2018 |
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3165 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
F. Javier Sanchez; Jorge Bernal; Cristina Sanchez Montes; Cristina Rodriguez de Miguel; Gloria Fernandez Esparrach |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos |
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Journal Article |
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Year |
2017 |
Publication |
Machine Vision and Applications |
Abbreviated Journal |
MVAP |
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1-20 |
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Specular highlights; bright spot regions segmentation; region classification; colonoscopy |
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Abstract |
A novel specular highlights detection method in colonoscopy videos is presented. The method is based on a model of appearance dening specular
highlights as bright spots which are highly contrasted with respect to adjacent regions. Our approach proposes two stages; segmentation, and then classication
of bright spot regions. The former denes a set of candidate regions obtained through a region growing process with local maxima as initial region seeds. This process creates a tree structure which keeps track, at each growing iteration, of the region frontier contrast; nal regions provided depend on restrictions over contrast value. Non-specular regions are ltered through a classication stage performed by a linear SVM classier using model-based features from each region. We introduce a new validation database with more than 25; 000 regions along with their corresponding pixel-wise annotations. We perform a comparative study against other approaches. Results show that our method is superior to other approaches, with our segmented regions being
closer to actual specular regions in the image. Finally, we also present how our methodology can also be used to obtain an accurate prediction of polyp histology. |
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MV; 600.096; 600.175 |
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Admin @ si @ SBS2017 |
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2975 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
F. Lopez; J.M. Valiente; Ramon Baldrich; Maria Vanrell |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Fast surface grading using color statistics in the CIELab space |
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Book Chapter |
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2005 |
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LNCS 1: 666–673 |
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Germany |
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CIC |
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CAT @ cat @ LVB2005 |
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641 |
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F. Moreso; D. Seron; Jordi Vitria; J.M. Grinyo; F.M. Colome-Serra; N. Pares; J.R. Serra |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Quantification of Interstitial Chronic Renal Damage by means of Texture Analysis. |
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Journal Article |
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1994 |
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Kidney International |
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46 |
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6 |
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1721-1727 |
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OR;MV |
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BCNPCL @ bcnpcl @ MSV1994 |
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113 |
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F. Pañella |
![find record details (via OpenURL) openurl](img/xref.gif)
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1999 |
Publication |
CVC Technical Report #34 |
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Admin @ si @ Pañ1999 |
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194 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
F. Pla; Petia Radeva; Jordi Vitria |
![find book details (via ISBN) isbn](img/isbn.gif)
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Title |
Pattern Recognition: Progress, Directions and Applications |
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Book Whole |
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2006 |
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84-933652-6-2 |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ PRV2006b |
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771 |
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Author ![sorted by Author field, ascending order (up)](img/sort_asc.gif) |
F. Pla; Petia Radeva; Jordi Vitria |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Non-parametric distance-based classification techniques and their applications |
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Journal |
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2008 |
Publication |
Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications |
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Volume |
11 |
Issue |
3-4 |
Pages |
223–225 |
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Springer |
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Notes |
OR;MILAB;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ PRV2008 |
Serial |
999 |
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