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| Author | Isabelle Guyon; Kristin Bennett; Gavin Cawley; Hugo Jair Escalante; Sergio Escalera; Tin Kam Ho; Nuria Macia; Bisakha Ray; Mehreen Saeed; Alexander Statnikov; Evelyne Viegas | ||||
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AutoML Challenge 2015: Design and First Results | Type | Conference Article | ||
| Year | 2015 | Publication | 32nd International Conference on Machine Learning, ICML workshop, JMLR proceedings ICML15 | Abbreviated Journal | |
| Volume | Issue | Pages | 1-8 | ||
| Keywords | AutoML Challenge; machine learning; model selection; meta-learning; repre- sentation learning; active learning | ||||
| Abstract | ChaLearn is organizing the Automatic Machine Learning (AutoML) contest 2015, which challenges participants to solve classi cation and regression problems without any human intervention. Participants' code is automatically run on the contest servers to train and test learning machines. However, there is no obligation to submit code; half of the prizes can be won by submitting prediction results only. Datasets of progressively increasing diculty are introduced throughout the six rounds of the challenge. (Participants can
enter the competition in any round.) The rounds alternate phases in which learners are tested on datasets participants have not seen (AutoML), and phases in which participants have limited time to tweak their algorithms on those datasets to improve performance (Tweakathon). This challenge will push the state of the art in fully automatic machine learning on a wide range of real-world problems. The platform will remain available beyond the termination of the challenge: http://codalab.org/AutoML. |
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| Address | Lille; France; July 2015 | ||||
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| Area | Expedition | Conference | ICML | ||
| Notes | HuPBA;MILAB | Approved | no | ||
| Call Number | Admin @ si @ GBC2015c | Serial | 2656 | ||
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| Author | Joan Serrat; J. Argemi; Juan J. Villanueva | ||||
| Title |
Automatization of TW2 method using a knowledge-based image analysis system. | Type | Conference Article | ||
| Year | 1991 | Publication | VIth International Congress of Auxology. | Abbreviated Journal | |
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| Address | Madrid | ||||
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| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ SAV1991 | Serial | 259 | ||
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| Author | Khalid El Asnaoui; Petia Radeva | ||||
| Title |
Automatically Assess Day Similarity Using Visual Lifelogs | Type | Journal Article | ||
| Year | 2020 | Publication | International Journal of Intelligent Systems | Abbreviated Journal | IJIS |
| Volume | 29 | Issue | Pages | 298–310 | |
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| Abstract | Today, we witness the appearance of many lifelogging cameras that are able to capture the life of a person wearing the camera and which produce a large number of images everyday. Automatically characterizing the experience and extracting patterns of behavior of individuals from this huge collection of unlabeled and unstructured egocentric data present major challenges and require novel and efficient algorithmic solutions. The main goal of this work is to propose a new method to automatically assess day similarity from the lifelogging images of a person. We propose a technique to measure the similarity between images based on the Swain’s distance and generalize it to detect the similarity between daily visual data. To this purpose, we apply the dynamic time warping (DTW) combined with the Swain’s distance for final day similarity estimation. For validation, we apply our technique on the Egocentric Dataset of University of Barcelona (EDUB) of 4912 daily images acquired by four persons with preliminary encouraging results. | ||||
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| Notes | MILAB; no proj | Approved | no | ||
| Call Number | AsR2020 | Serial | 3409 | ||
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| Author | A. Pujol; Juan J. Villanueva; H. Wechsler | ||||
| Title |
Automatic View Based Caricaturing. | Type | Miscellaneous | ||
| Year | 2000 | Publication | 15 th International Conference on Pattern Recognition, 1:1072–1075. | Abbreviated Journal | |
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| Address | Barcelona. | ||||
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| Notes | Approved | no | |||
| Call Number | ISE @ ise @ PVW2000 | Serial | 227 | ||
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| Author | Antonio Hernandez; Carlo Gatta; Petia Radeva; Laura Igual; R. Letaz; Sergio Escalera | ||||
| Title |
Automatic Vessel Segmentation For Angiography and CT Registration | Type | Conference Article | ||
| Year | 2010 | Publication | Medical Image Computing in Catalunya: Graduate Student Workshop | Abbreviated Journal | |
| Volume | Issue | Pages | 1–2 | ||
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| Address | Girona | ||||
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| Area | Expedition | Conference | MICCAT | ||
| Notes | MILAB;HUPBA | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ HGR2010 | Serial | 1474 | ||
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| Author | Marçal Rusiñol; Dimosthenis Karatzas; Josep Llados | ||||
| Title |
Automatic Verification of Properly Signed Multi-page Document Images | Type | Conference Article | ||
| Year | 2015 | Publication | Proceedings of the Eleventh International Symposium on Visual Computing | Abbreviated Journal | |
| Volume | 9475 | Issue | Pages | 327-336 | |
| Keywords | Document Image; Manual Inspection; Signature Verification; Rejection Criterion; Document Flow | ||||
| Abstract | In this paper we present an industrial application for the automatic screening of incoming multi-page documents in a banking workflow aimed at determining whether these documents are properly signed or not. The proposed method is divided in three main steps. First individual pages are classified in order to identify the pages that should contain a signature. In a second step, we segment within those key pages the location where the signatures should appear. The last step checks whether the signatures are present or not. Our method is tested in a real large-scale environment and we report the results when checking two different types of real multi-page contracts, having in total more than 14,500 pages. | ||||
| Address | Las Vegas, Nevada, USA; December 2015 | ||||
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| Series Editor | Series Title | Abbreviated Series Title | LNCS | ||
| Series Volume | 9475 | Series Issue | Edition | ||
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| Area | Expedition | Conference | ISVC | ||
| Notes | DAG; 600.077 | Approved | no | ||
| Call Number | Admin @ si @ | Serial | 3189 | ||
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| Author | Antonio Hernandez; Carlos Primo; Sergio Escalera | ||||
| Title |
Automatic user interaction correction via Multi-label Graph cuts | Type | Conference Article | ||
| Year | 2011 | Publication | In ICCV 2011 1st IEEE International Workshop on Human Interaction in Computer Vision HICV | Abbreviated Journal | |
| Volume | Issue | Pages | 1276-1281 | ||
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| Abstract | Most applications in image segmentation requires from user interaction in order to achieve accurate results. However, user wants to achieve the desired segmentation accuracy reducing effort of manual labelling. In this work, we extend standard multi-label α-expansion Graph Cut algorithm so that it analyzes the interaction of the user in order to modify the object model and improve final segmentation of objects. The approach is inspired in the fact that fast user interactions may introduce some pixel errors confusing object and background. Our results with different degrees of user interaction and input errors show high performance of the proposed approach on a multi-label human limb segmentation problem compared with classical α-expansion algorithm. | ||||
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| ISSN | ISBN | 978-1-4673-0062-9 | Medium | ||
| Area | Expedition | Conference | HICV | ||
| Notes | MILAB; HuPBA | Approved | no | ||
| Call Number | Admin @ si @ HPE2011 | Serial | 1892 | ||
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| Author | Frederic Sampedro; Sergio Escalera; Anna Domenech; Ignasi Carrio | ||||
| Title |
Automatic Tumor Volume Segmentation in Whole-Body PET/CT Scans: A Supervised Learning Approach Source | Type | Journal Article | ||
| Year | 2015 | Publication | Journal of Medical Imaging and Health Informatics | Abbreviated Journal | JMIHI |
| Volume | 5 | Issue | 2 | Pages | 192-201 |
| Keywords | CONTEXTUAL CLASSIFICATION; PET/CT; SUPERVISED LEARNING; TUMOR SEGMENTATION; WHOLE BODY | ||||
| Abstract | Whole-body 3D PET/CT tumoral volume segmentation provides relevant diagnostic and prognostic information in clinical oncology and nuclear medicine. Carrying out this procedure manually by a medical expert is time consuming and suffers from inter- and intra-observer variabilities. In this paper, a completely automatic approach to this task is presented. First, the problem is stated and described both in clinical and technological terms. Then, a novel supervised learning segmentation framework is introduced. The segmentation by learning approach is defined within a Cascade of Adaboost classifiers and a 3D contextual proposal of Multiscale Stacked Sequential Learning. Segmentation accuracy results on 200 Breast Cancer whole body PET/CT volumes show mean 49% sensitivity, 99.993% specificity and 39% Jaccard overlap Index, which represent good performance results both at the clinical and technological level. | ||||
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| Notes | HuPBA;MILAB | Approved | no | ||
| Call Number | Admin @ si @ SED2015 | Serial | 2584 | ||
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| Author | Christophe Rigaud; Dimosthenis Karatzas; Joost Van de Weijer; Jean-Christophe Burie; Jean-Marc Ogier | ||||
| Title |
Automatic text localisation in scanned comic books | Type | Conference Article | ||
| Year | 2013 | Publication | Proceedings of the International Conference on Computer Vision Theory and Applications | Abbreviated Journal | |
| Volume | Issue | Pages | 814-819 | ||
| Keywords | Text localization; comics; text/graphic separation; complex background; unstructured document | ||||
| Abstract | 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. | ||||
| Address | Barcelona; February 2013 | ||||
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| Area | Expedition | Conference | VISAPP | ||
| Notes | DAG; CIC; 600.056 | Approved | no | ||
| Call Number | Admin @ si @ RKW2013b | Serial | 2261 | ||
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| Author | Laura Igual; Antonio Hernandez; Sergio Escalera; Miguel Reyes; Josep Moya; Joan Carles Soliva; Jordi Faquet; Oscar Vilarroya; Petia Radeva | ||||
| Title |
Automatic Techniques for Studying Attention-Deficit/Hyperactivity Disorder | Type | Conference Article | ||
| Year | 2011 | Publication | Jornada TIC Salut Girona | Abbreviated Journal | |
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| Area | Expedition | Conference | TICGI | ||
| Notes | MILAB;HuPBA | Approved | no | ||
| Call Number | Admin @ si @ IHE2011 | Serial | 1755 | ||
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| Author | Marçal Rusiñol; Lluis Gomez; A. Landman; M. Silva Constenla; Dimosthenis Karatzas | ||||
| Title |
Automatic Structured Text Reading for License Plates and Utility Meters | Type | Conference Article | ||
| Year | 2019 | Publication | BMVC Workshop on Visual Artificial Intelligence and Entrepreneurship | Abbreviated Journal | |
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| Abstract | Reading text in images has attracted interest from computer vision researchers for
many years. Our technology focuses on the extraction of structured text – such as serial numbers, machine readings, product codes, etc. – so that it is able to center its attention just on the relevant textual elements. It is conceived to work in an end-to-end fashion, bypassing any explicit text segmentation stage. In this paper we present two different industrial use cases where we have applied our automatic structured text reading technology. In the first one, we demonstrate an outstanding performance when reading license plates compared to the current state of the art. In the second one, we present results on our solution for reading utility meters. The technology is commercialized by a recently created spin-off company, and both solutions are at different stages of integration with final clients. |
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| Address | Cardiff; UK; September 2019 | ||||
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| Area | Expedition | Conference | BMVC-VAIE19 | ||
| Notes | DAG; 600.129 | Approved | no | ||
| Call Number | Admin @ si @ RGL2019 | Serial | 3283 | ||
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| Author | David Aldavert; Marçal Rusiñol; Ricardo Toledo | ||||
| Title |
Automatic Static/Variable Content Separation in Administrative Document Images | Type | Conference Article | ||
| Year | 2017 | Publication | 14th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
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| Abstract | In this paper we present an automatic method for separating static and variable content from administrative document images. An alignment approach is able to unsupervisedly build probabilistic templates from a set of examples of the same document kind. Such templates define which is the likelihood of every pixel of being either static or variable content. In the extraction step, the same alignment technique is used to match
an incoming image with the template and to locate the positions where variable fields appear. We validate our approach on the public NIST Structured Tax Forms Dataset. |
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| Address | Kyoto; Japan; November 2017 | ||||
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| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG; 600.084; 600.121 | Approved | no | ||
| Call Number | Admin @ si @ ART2017 | Serial | 3001 | ||
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| Author | Cristina Palmero; Jordi Esquirol; Vanessa Bayo; Miquel Angel Cos; Pouya Ahmadmonfared; Joan Salabert; David Sanchez; Sergio Escalera | ||||
| Title |
Automatic Sleep System Recommendation by Multi-modal RBG-Depth-Pressure Anthropometric Analysis | Type | Journal Article | ||
| Year | 2017 | Publication | International Journal of Computer Vision | Abbreviated Journal | IJCV |
| Volume | 122 | Issue | 2 | Pages | 212–227 |
| Keywords | Sleep system recommendation; RGB-Depth data Pressure imaging; Anthropometric landmark extraction; Multi-part human body segmentation | ||||
| Abstract | This paper presents a novel system for automatic sleep system recommendation using RGB, depth and pressure information. It consists of a validated clinical knowledge-based model that, along with a set of prescription variables extracted automatically, obtains a personalized bed design recommendation. The automatic process starts by performing multi-part human body RGB-D segmentation combining GrabCut, 3D Shape Context descriptor and Thin Plate Splines, to then extract a set of anthropometric landmark points by applying orthogonal plates to the segmented human body. The extracted variables are introduced to the computerized clinical model to calculate body circumferences, weight, morphotype and Body Mass Index categorization. Furthermore, pressure image analysis is performed to extract pressure values and at-risk points, which are also introduced to the model to eventually obtain the final prescription of mattress, topper, and pillow. We validate the complete system in a set of 200 subjects, showing accurate category classification and high correlation results with respect to manual measures. | ||||
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| Notes | HuPBA;MILAB; 303.100 | Approved | no | ||
| Call Number | Admin @ si @ PEB2017 | Serial | 2765 | ||
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| Author | X. Varona; Jordi Gonzalez; Xavier Roca; Juan J. Villanueva | ||||
| Title |
Automatic Selection of Keyframes for Activity Recognition. | Type | Miscellaneous | ||
| Year | 2000 | Publication | International Workshop on Articulated Motion and Deformable Objects ( AMDO&rsquo), 173–181. | Abbreviated Journal | |
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| Address | Palma de Mallorca. | ||||
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| Notes | ISE | Approved | no | ||
| Call Number | ISE @ ise @ VGR2000b | Serial | 243 | ||
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| Author | Oriol Pujol; Petia Radeva; J. Mauri; E Fernandez-Nofrerias | ||||
| Title |
Automatic segmentation of lumen in Intravascular Ultrasound Images: An evaluation of texture feature extractors. | Type | Miscellaneous | ||
| Year | 2002 | Publication | Iberoamerican Conference on Artificial Intelligence IBERAMIA 2002, Springer Verlag | Abbreviated Journal | |
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| Address | Sevilla, Espanya | ||||
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| Notes | MILAB;HuPBA | Approved | no | ||
| Call Number | BCNPCL @ bcnpcl @ PRM2002 | Serial | 314 | ||
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