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Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; Vicente de Valle; E. Garcia; A. Barrios; Debora Gil; Petia Radeva |
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Title |
Analysis of the changes in angiography local grey-level values to determine myocardial perfusion |
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Conference Article |
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2006 |
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World Congress of Cardiology |
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862 |
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Barcelona (Spain) |
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IAM;MILAB |
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IAM @ iam @ RMF2006 |
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1644 |
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Author |
Fadi Dornaika; Bogdan Raducanu |
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Title |
Out-of-Sample Embedding for Manifold Learning Applied to Face Recognition |
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Conference Article |
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2013 |
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IEEE International Workshop on Analysis and Modeling of Faces and Gestures |
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862-868 |
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Manifold learning techniques are affected by two critical aspects: (i) the design of the adjacency graphs, and (ii) the embedding of new test data---the out-of-sample problem. For the first aspect, the proposed schemes were heuristically driven. For the second aspect, the difficulty resides in finding an accurate mapping that transfers unseen data samples into an existing manifold. Past works addressing these two aspects were heavily parametric in the sense that the optimal performance is only reached for a suitable parameter choice that should be known in advance. In this paper, we demonstrate that sparse coding theory not only serves for automatic graph reconstruction as shown in recent works, but also represents an accurate alternative for out-of-sample embedding. Considering for a case study the Laplacian Eigenmaps, we applied our method to the face recognition problem. To evaluate the effectiveness of the proposed out-of-sample embedding, experiments are conducted using the k-nearest neighbor (KNN) and Kernel Support Vector Machines (KSVM) classifiers on four public face databases. The experimental results show that the proposed model is able to achieve high categorization effectiveness as well as high consistency with non-linear embeddings/manifolds obtained in batch modes. |
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Portland; USA; June 2013 |
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CVPRW |
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OR; 600.046;MV |
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Admin @ si @ DoR2013 |
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2236 |
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Author |
Oriol Rodriguez-Leor; Eduard Fernandez-Nofrerias; J. Mauri; Vicente del Valle; Debora Gil; A.Barrios; E.Garcia; Petia Radeva |
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Title |
Perfusion ratio: A new tool to objectively assess microcirculation perfusion after primary Percutaneous Coronary Intervention |
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Conference Article |
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2006 |
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World Congress of Cardiology |
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859 |
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Barcelona (Spain) |
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IAM;MILAB |
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IAM @ iam @ RFM2006c |
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1643 |
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Author |
Francisco Jose Perales; Juan J. Villanueva; Yuhua Luo |
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Title |
An automatic two-camera human motion perception system based on biomechanical model matching |
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Conference Article |
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Year |
1991 |
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IEEE International Conference on Systems, Man and Cybernetics |
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2 |
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856-858 |
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ISE @ ise @ PVL1991b |
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265 |
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Author |
Jorge Charco; Angel Sappa; Boris X. Vintimilla |
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Title |
Human Pose Estimation through a Novel Multi-view Scheme |
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Conference Article |
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2022 |
Publication |
17th International Conference on Computer Vision Theory and Applications (VISAPP 2022) |
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5 |
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855-862 |
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Multi-view Scheme; Human Pose Estimation; Relative Camera Pose; Monocular Approach |
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Abstract |
This paper presents a multi-view scheme to tackle the challenging problem of the self-occlusion in human pose estimation problem. The proposed approach first obtains the human body joints of a set of images, which are captured from different views at the same time. Then, it enhances the obtained joints by using a
multi-view scheme. Basically, the joints from a given view are used to enhance poorly estimated joints from another view, especially intended to tackle the self occlusions cases. A network architecture initially proposed for the monocular case is adapted to be used in the proposed multi-view scheme. Experimental results and
comparisons with the state-of-the-art approaches on Human3.6m dataset are presented showing improvements in the accuracy of body joints estimations. |
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On line; Feb 6, 2022 – Feb 8, 2022 |
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2184-4321 |
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978-989-758-555-5 |
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VISAPP |
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Notes |
MSIAU; 600.160 |
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Admin @ si @ CSV2022 |
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3689 |
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Author |
E. Serradell; Adriana Romero; R. Leta; Carlo Gatta; Francesc Moreno-Noguer |
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Title |
Simultaneous Correspondence and Non-Rigid 3D Reconstruction of the Coronary Tree from Single X-Ray Images |
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Conference Article |
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2011 |
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13th IEEE International Conference on Computer Vision |
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850-857 |
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Barcelona |
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ICCV |
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MILAB |
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Admin @ si @ SRL2011 |
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1803 |
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Author |
Javier M. Olaso; Alain Vazquez; Leila Ben Letaifa; Mikel de Velasco; Aymen Mtibaa; Mohamed Amine Hmani; Dijana Petrovska-Delacretaz; Gerard Chollet; Cesar Montenegro; Asier Lopez-Zorrilla; Raquel Justo; Roberto Santana; Jofre Tenorio-Laranga; Eduardo Gonzalez-Fraile; Begoña Fernandez-Ruanova; Gennaro Cordasco; Anna Esposito; Kristin Beck Gjellesvik; Anna Torp Johansen; Maria Stylianou Kornes; Colin Pickard; Cornelius Glackin; Gary Cahalane; Pau Buch; Cristina Palmero; Sergio Escalera; Olga Gordeeva; Olivier Deroo; Anaïs Fernandez; Daria Kyslitska; Jose Antonio Lozano; Maria Ines Torres; Stephan Schlogl |
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Title |
The EMPATHIC Virtual Coach: a demo |
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Conference Article |
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Year |
2021 |
Publication |
23rd ACM International Conference on Multimodal Interaction |
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848-851 |
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Abstract |
The main objective of the EMPATHIC project has been the design and development of a virtual coach to engage the healthy-senior user and to enhance well-being through awareness of personal status. The EMPATHIC approach addresses this objective through multimodal interactions supported by the GROW coaching model. The paper summarizes the main components of the EMPATHIC Virtual Coach (EMPATHIC-VC) and introduces a demonstration of the coaching sessions in selected scenarios. |
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Virtual; October 2021 |
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ICMI |
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HUPBA; no proj |
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no |
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Admin @ si @ OVB2021 |
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3644 |
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Author |
Eugenio Alcala; Laura Sellart; Vicenc Puig; Joseba Quevedo; Jordi Saludes; David Vazquez; Antonio Lopez |
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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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Keywords |
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 |
Petia Radeva; Joan Serrat; Enric Marti |
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Title |
A snake for model-based segmentation |
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1995 |
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Proc. Conf. Fifth Int Computer Vision |
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816-821 |
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snakes; elastic matching; model-based segmenta tion |
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Despite the promising results of numerous applications, the hitherto proposed snake techniques share some common problems: snake attraction by spurious edge points, snake degeneration (shrinking and attening), convergence and stability of the deformation process, snake initialization and local determination of the parameters of elasticity. We argue here that these problems can be solved only when all the snake aspects are considered. The snakes proposed here implement a new potential eld and external force in order to provide a deformation convergence, attraction by both near and far edges as well as snake behaviour selective according to the edge orientation. Furthermore, we conclude that in the case of model-based seg mentation, the internal force should include structural information about the expected snake shape. Experiments using this kind of snakes for segmenting bones in complex hand radiographs show a signi cant improvement. |
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MILAB;ADAS;IAM |
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IAM @ iam @ RSM1995 |
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1634 |
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Author |
J.M. Sanchez; X. Binefa |
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Title |
Color Normalization for Appearance Based Recognition of Video Key-frames. |
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2000 |
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15 th International Conference on Pattern Recognition |
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1 |
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815-818 |
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Barcelona. |
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ICPR |
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Admin @ si @ SaB2000 |
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220 |
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Jose Manuel Alvarez; Antonio Lopez |
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Novel Index for Objective Evaluation of Road Detection Algorithms |
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2008 |
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Intelligent Transportation Systems. 11th International IEEE Conference on, |
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815–820 |
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road detection |
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Beijing (Xina) |
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ITSC |
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ADAS |
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ADAS @ adas @ AlL2008 |
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1074 |
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Christophe Rigaud; Dimosthenis Karatzas; Joost Van de Weijer; Jean-Christophe Burie; Jean-Marc Ogier |
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Automatic text localisation in scanned comic books |
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Conference Article |
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2013 |
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Proceedings of the International Conference on Computer Vision Theory and Applications |
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814-819 |
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Text localization; comics; text/graphic separation; complex background; unstructured document |
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Comic books constitute an important cultural heritage asset in many countries. Digitization combined with subsequent document understanding enable direct content-based search as opposed to metadata only search (e.g. album title or author name). Few studies have been done in this direction. In this work we detail a novel approach for the automatic text localization in scanned comics book pages, an essential step towards a fully automatic comics book understanding. We focus on speech text as it is semantically important and represents the majority of the text present in comics. The approach is compared with existing methods of text localization found in the literature and results are presented. |
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Barcelona; February 2013 |
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VISAPP |
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DAG; CIC; 600.056 |
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Admin @ si @ RKW2013b |
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2261 |
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Ajian Liu; Chenxu Zhao; Zitong Yu; Anyang Su; Xing Liu; Zijian Kong; Jun Wan; Sergio Escalera; Hugo Jair Escalante; Zhen Lei; Guodong Guo |
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3D High-Fidelity Mask Face Presentation Attack Detection Challenge |
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Conference Article |
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2021 |
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IEEE/CVF International Conference on Computer Vision Workshops |
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814-823 |
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The threat of 3D mask to face recognition systems is increasing serious, and has been widely concerned by researchers. To facilitate the study of the algorithms, a large-scale High-Fidelity Mask dataset, namely CASIA-SURF HiFiMask (briefly HiFiMask) has been collected. Specifically, it consists of total amount of 54,600 videos which are recorded from 75 subjects with 225 realistic masks under 7 new kinds of sensors. Based on this dataset and Protocol 3 which evaluates both the discrimination and generalization ability of the algorithm under the open set scenarios, we organized a 3D High-Fidelity Mask Face Presentation Attack Detection Challenge to boost the research of 3D mask based attack detection. It attracted more than 200 teams for the development phase with a total of 18 teams qualifying for the final round. All the results were verified and re-ran by the organizing team, and the results were used for the final ranking. This paper presents an overview of the challenge, including the introduction of the dataset used, the definition of the protocol, the calculation of the evaluation criteria, and the summary and publication of the competition results. Finally, we focus on introducing and analyzing the top ranked algorithms, the conclusion summary, and the research ideas for mask attack detection provided by this competition. |
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Virtual; October 2021 |
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ICCVW |
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HUPBA; no proj |
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Admin @ si @ LZY2021 |
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3646 |
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Author |
Raul Gomez; Ali Furkan Biten; Lluis Gomez; Jaume Gibert; Marçal Rusiñol; Dimosthenis Karatzas |
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Selective Style Transfer for Text |
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Conference Article |
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2019 |
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15th International Conference on Document Analysis and Recognition |
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805-812 |
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transfer; text style transfer; data augmentation; scene text detection |
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This paper explores the possibilities of image style transfer applied to text maintaining the original transcriptions. Results on different text domains (scene text, machine printed text and handwritten text) and cross-modal results demonstrate that this is feasible, and open different research lines. Furthermore, two architectures for selective style transfer, which means
transferring style to only desired image pixels, are proposed. Finally, scene text selective style transfer is evaluated as a data augmentation technique to expand scene text detection datasets, resulting in a boost of text detectors performance. Our implementation of the described models is publicly available. |
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Sydney; Australia; September 2019 |
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DAG; 600.129; 600.135; 601.338; 601.310; 600.121 |
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3265 |
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Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
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An Iterative Multiresolution Scheme for SFM |
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2006 |
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International Conference on Image Analysis and Recognition |
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ICIAR 2006 |
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LNCS 4141 |
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1 |
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804–815 |
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ADAS @ adas @ JSL2006c |
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704 |
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