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Author | Ricard Balague | ||||
Title | Exploring the combination of color cues for intrinsic image decomposition | Type | Report | ||
Year | 2014 | Publication | CVC Technical Report | Abbreviated Journal | |
Volume | 178 | Issue | Pages | ||
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Abstract | Intrinsic image decomposition is a challenging problem that consists in separating an image into its physical characteristics: reflectance and shading. This problem can be solved in different ways, but most methods have combined information from several visual cues. In this work we describe an extension of an existing method proposed by Serra et al. which considers two color descriptors and combines them by means of a Markov Random Field. We analyze in depth the weak points of the method and we explore more possibilities to use in both descriptors. The proposed extension depends on the combination of the cues considered to overcome some of the limitations of the original method. Our approach is tested on the MIT dataset and Beigpour et al. dataset, which contain images of real objects acquired under controlled conditions and synthetic images respectively, with their corresponding ground truth. | ||||
Address | UAB; September 2014 | ||||
Corporate Author | Thesis | Master's thesis | |||
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Notes | CIC; 600.074 | Approved | no | ||
Call Number | Admin @ si @ Bal2014 | Serial | 2579 | ||
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Author | Sebastian Ramos | ||||
Title | Vision-based Detection of Road Hazards for Autonomous Driving | Type | Report | ||
Year | 2014 | Publication | CVC Technical Report | Abbreviated Journal | |
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Address | UAB; September 2014 | ||||
Corporate Author | Thesis | Master's thesis | |||
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Notes | ADAS; 600.076 | Approved | no | ||
Call Number | Admin @ si @ Ram2014 | Serial | 2580 | ||
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Author | Antonio Lopez; Felipe Lumbreras; A. Martinez; Joan Serrat; Xavier Roca; Javier Varona; Jordi Vitria | ||||
Title | Aplicaciones de la vision por computador a la industria. | Type | Miscellaneous | ||
Year | 1997 | Publication | CVC | Abbreviated Journal | |
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Notes | ADAS;OR;ISE;MV | Approved | no | ||
Call Number | ADAS @ adas @ LLM1997b | Serial | 50 | ||
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Author | Albert Andaluz | ||||
Title | Harmonic Phase Flow: User's guide | Type | Manual | ||
Year | 2012 | Publication | CVC | Abbreviated Journal | |
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Abstract | HPF is a plugin for the computation of clinical scores under Osirix.
This manual provides a basic guide for experienced clinical staff. Chapter 1 provides the theoretical background in which this plugin is based. Next, in chapter 2 we provide basic instructions for installing and uninstalling this plugin. chapter 3we shows a step-by-step scenario to compute clinical scores from tagged-MRI images with HPF. Finally, in chapter 4 we provide a quick guide for plugin developers |
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Address | Bellaterra, Barcelona (Spain) | ||||
Corporate Author | Computer Vision Center | Thesis | |||
Publisher | CVC | Place of Publication | Barcelona | Editor | |
Language | english | Summary Language | english | Original Title | |
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Notes | IAM | Approved | no | ||
Call Number | IAM @ iam @ And2012 | Serial | 1863 | ||
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Author | Marçal Rusiñol; Josep Llados | ||||
Title | Flowchart Recognition in Patent Information Retrieval | Type | Book Chapter | ||
Year | 2017 | Publication | Current Challenges in Patent Information Retrieval | Abbreviated Journal | |
Volume | 37 | Issue | Pages | 351-368 | |
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Publisher | Springer Berlin Heidelberg | Place of Publication | Editor | M. Lupu; K. Mayer; N. Kando; A.J. Trippe | |
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Notes | DAG; 600.097; 600.121 | Approved | no | ||
Call Number | Admin @ si @ RuL2017 | Serial | 2896 | ||
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Author | Beata Megyesi; Bernhard Esslinger; Alicia Fornes; Nils Kopal; Benedek Lang; George Lasry; Karl de Leeuw; Eva Pettersson; Arno Wacker; Michelle Waldispuhl | ||||
Title | Decryption of historical manuscripts: the DECRYPT project | Type | Journal Article | ||
Year | 2020 | Publication | Cryptologia | Abbreviated Journal | CRYPT |
Volume | 44 | Issue | 6 | Pages | 545-559 |
Keywords | automatic decryption; cipher collection; historical cryptology; image transcription | ||||
Abstract | Many historians and linguists are working individually and in an uncoordinated fashion on the identification and decryption of historical ciphers. This is a time-consuming process as they often work without access to automatic methods and processes that can accelerate the decipherment. At the same time, computer scientists and cryptologists are developing algorithms to decrypt various cipher types without having access to a large number of original ciphertexts. In this paper, we describe the DECRYPT project aiming at the creation of resources and tools for historical cryptology by bringing the expertise of various disciplines together for collecting data, exchanging methods for faster progress to transcribe, decrypt and contextualize historical encrypted manuscripts. We present our goals and work-in progress of a general approach for analyzing historical encrypted manuscripts using standardized methods and a new set of state-of-the-art tools. We release the data and tools as open-source hoping that all mentioned disciplines would benefit and contribute to the research infrastructure of historical cryptology. | ||||
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Notes | DAG; 600.140; 600.121 | Approved | no | ||
Call Number | Admin @ si @ MEF2020 | Serial | 3347 | ||
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Author | M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Petia Radeva; David Rotger; V. Valle | ||||
Title | Nuevos Avances para la correlacion de imagenes angiograficas y de ecograia intracoronaria. | Type | Miscellaneous | ||
Year | 2002 | Publication | Congreso de las Enfermedades Cardiovasculares, XXXVIII Congreso de la Sociedad Española de Cardiologia. | Abbreviated Journal | |
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Address | Madrid, Espanya | ||||
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Notes | MILAB | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ GMF2002c | Serial | 309 | ||
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Author | J. Mauri; E Fernandez-Nofrerias; E. Esplugas; A. Cequier; David Rotger; Ricardo Toledo; Petia Radeva; ; Juan J. Villanueva | ||||
Title | Ecografia Intracoronaria: Navegacion Informatica por el cubo de datos de las imagenes. | Type | Miscellaneous | ||
Year | 2000 | Publication | Congreso de la Sociedad Española de Cardiologia. | Abbreviated Journal | |
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Address | Granada. | ||||
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Notes | MILAB;ADAS | Approved | no | ||
Call Number | BCNPCL @ bcnpcl @ MNE2000 | Serial | 356 | ||
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Author | J. Mauri; Eduard Fernandez-Nofrerias; B. Garcia del Blanco; E. Iraculis; J.A. Gomez-Hospital; J. Comin; M.A. Sanchez Corral; F. Jara; A. Cequier; E. Esplugas; Debora Gil; J. Saludes; Petia Radeva; Ricardo Toledo; Juan J.Villanueva | ||||
Title | Moviment del vas en l anàlisi d imatges d ecografia intracoronària: un model matemàtic | Type | Conference Article | ||
Year | 2000 | Publication | Congrés de la Societat Catalana de Cardiologia. | Abbreviated Journal | |
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Notes | IAM;RV;ISE;MILAB;ADAS | Approved | no | ||
Call Number | IAM @ iam @ MNG2000 | Serial | 1621 | ||
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Author | J. Mauri; Eduard Fernandez-Nofrerias; J. Comin; B. Garcia del Blanco; E. Iraculis; J.A. Gomez-Hospital; P. Valdovinos; F. Jara; A. Cequier; E. Esplugas; Oriol Pujol; Cristina Cañero; Debora Gil; Petia Radeva; Ricardo Toledo | ||||
Title | Avaluació del Conjunt Stent/Artèria mitjançant ecografia intracoronària: lentorn informàtic | Type | Conference Article | ||
Year | 2000 | Publication | Congrés de la Societat Catalana de Cardiologia. | Abbreviated Journal | |
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Notes | IAM;RV;MILAB;ADAS;HuPBA | Approved | no | ||
Call Number | IAM @ iam @ MNC2000 | Serial | 1622 | ||
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Author | Yi Xiao; Felipe Codevilla; Christopher Pal; Antonio Lopez | ||||
Title | Action-Based Representation Learning for Autonomous Driving | Type | Conference Article | ||
Year | 2020 | Publication | Conference on Robot Learning | Abbreviated Journal | |
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Abstract | Human drivers produce a vast amount of data which could, in principle, be used to improve autonomous driving systems. Unfortunately, seemingly straightforward approaches for creating end-to-end driving models that map sensor data directly into driving actions are problematic in terms of interpretability, and typically have significant difficulty dealing with spurious correlations. Alternatively, we propose to use this kind of action-based driving data for learning representations. Our experiments show that an affordance-based driving model pre-trained with this approach can leverage a relatively small amount of weakly annotated imagery and outperform pure end-to-end driving models, while being more interpretable. Further, we demonstrate how this strategy outperforms previous methods based on learning inverse dynamics models as well as other methods based on heavy human supervision (ImageNet). | ||||
Address | virtual; November 2020 | ||||
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Area | Expedition | Conference | CORL | ||
Notes | ADAS; 600.118 | Approved | no | ||
Call Number | Admin @ si @ XCP2020 | Serial | 3487 | ||
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Author | Ozge Mercanoglu Sincan; Julio C. S. Jacques Junior; Sergio Escalera; Hacer Yalim Keles | ||||
Title | ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research | Type | Conference Article | ||
Year | 2021 | Publication | Conference on Computer Vision and Pattern Recognition Workshops | Abbreviated Journal | |
Volume | Issue | Pages | 3467-3476 | ||
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Abstract | The performances of Sign Language Recognition (SLR) systems have improved considerably in recent years. However, several open challenges still need to be solved to allow SLR to be useful in practice. The research in the field is in its infancy in regards to the robustness of the models to a large diversity of signs and signers, and to fairness of the models to performers from different demographics. This work summarises the ChaLearn LAP Large Scale Signer Independent Isolated SLR Challenge, organised at CVPR 2021 with the goal of overcoming some of the aforementioned challenges. We analyse and discuss the challenge design, top winning solutions and suggestions for future research. The challenge attracted 132 participants in the RGB track and 59 in the RGB+Depth track, receiving more than 1.5K submissions in total. Participants were evaluated using a new large-scale multi-modal Turkish Sign Language (AUTSL) dataset, consisting of 226 sign labels and 36,302 isolated sign video samples performed by 43 different signers. Winning teams achieved more than 96% recognition rate, and their approaches benefited from pose/hand/face estimation, transfer learning, external data, fusion/ensemble of modalities and different strategies to model spatio-temporal information. However, methods still fail to distinguish among very similar signs, in particular those sharing similar hand trajectories. | ||||
Address | Virtual; June 2021 | ||||
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Area | Expedition | Conference | CVPRW | ||
Notes | HuPBA; no proj | Approved | no | ||
Call Number | Admin @ si @ MJE2021 | Serial | 3560 | ||
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Author | Sudeep Katakol; Luis Herranz; Fei Yang; Marta Mrak | ||||
Title | DANICE: Domain adaptation without forgetting in neural image compression | Type | Conference Article | ||
Year | 2021 | Publication | Conference on Computer Vision and Pattern Recognition Workshops | Abbreviated Journal | |
Volume | Issue | Pages | 1921-1925 | ||
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Abstract | Neural image compression (NIC) is a new coding paradigm where coding capabilities are captured by deep models learned from data. This data-driven nature enables new potential functionalities. In this paper, we study the adaptability of codecs to custom domains of interest. We show that NIC codecs are transferable and that they can be adapted with relatively few target domain images. However, naive adaptation interferes with the solution optimized for the original source domain, resulting in forgetting the original coding capabilities in that domain, and may even break the compatibility with previously encoded bitstreams. Addressing these problems, we propose Codec Adaptation without Forgetting (CAwF), a framework that can avoid these problems by adding a small amount of custom parameters, where the source codec remains embedded and unchanged during the adaptation process. Experiments demonstrate its effectiveness and provide useful insights on the characteristics of catastrophic interference in NIC. | ||||
Address | Virtual; June 2021 | ||||
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Area | Expedition | Conference | CVPRW | ||
Notes | LAMP; 600.120; 600.141; 601.379 | Approved | no | ||
Call Number | Admin @ si @ KHY2021 | Serial | 3568 | ||
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Author | Rafael E. Rivadeneira; Angel Sappa; Boris X. Vintimilla; Sabari Nathan; Priya Kansal; Armin Mehri; Parichehr Behjati Ardakani; A.Dalal; A.Akula; D.Sharma; S.Pandey; B.Kumar; J.Yao; R.Wu; KFeng; N.Li; Y.Zhao; H.Patel; V. Chudasama; K.Pjajapati; A.Sarvaiya; K.Upla; K.Raja; R.Ramachandra; C.Bush; F.Almasri; T.Vandamme; O.Debeir; N.Gutierrez; Q.Nguyen; W.Beksi | ||||
Title | Thermal Image Super-Resolution Challenge – PBVS 2021 | Type | Conference Article | ||
Year | 2021 | Publication | Conference on Computer Vision and Pattern Recognition Workshops | Abbreviated Journal | |
Volume | Issue | Pages | 4359-4367 | ||
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Abstract | This paper presents results from the second Thermal Image Super-Resolution (TISR) challenge organized in the framework of the Perception Beyond the Visible Spectrum (PBVS) 2021 workshop. For this second edition, the same thermal image dataset considered during the first challenge has been used; only mid-resolution (MR) and high-resolution (HR) sets have been considered. The dataset consists of 951 training images and 50 testing images for each resolution. A set of 20 images for each resolution is kept aside for evaluation. The two evaluation methodologies proposed for the first challenge are also considered in this opportunity. The first evaluation task consists of measuring the PSNR and SSIM between the obtained SR image and the corresponding ground truth (i.e., the HR thermal image downsampled by four). The second evaluation also consists of measuring the PSNR and SSIM, but in this case, considers the x2 SR obtained from the given MR thermal image; this evaluation is performed between the SR image with respect to the semi-registered HR image, which has been acquired with another camera. The results outperformed those from the first challenge, thus showing an improvement in both evaluation metrics. | ||||
Address | Virtual; June 2021 | ||||
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Area | Expedition | Conference | CVPRW | ||
Notes | MSIAU; 600.130; 600.122 | Approved | no | ||
Call Number | Admin @ si @ RSV2021 | Serial | 3581 | ||
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Author | Razieh Rastgoo; Kourosh Kiani; Sergio Escalera; Mohammad Sabokrou | ||||
Title | Sign Language Production: A Review | Type | Conference Article | ||
Year | 2021 | Publication | Conference on Computer Vision and Pattern Recognition Workshops | Abbreviated Journal | |
Volume | Issue | Pages | 3472-3481 | ||
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Abstract | Sign Language is the dominant yet non-primary form of communication language used in the deaf and hearing-impaired community. To make an easy and mutual communication between the hearing-impaired and the hearing communities, building a robust system capable of translating the spoken language into sign language and vice versa is fundamental. To this end, sign language recognition and production are two necessary parts for making such a two-way system. Sign language recognition and production need to cope with some critical challenges. In this survey, we review recent advances in Sign Language Production (SLP) and related areas using deep learning. This survey aims to briefly summarize recent achievements in SLP, discussing their advantages, limitations, and future directions of research. | ||||
Address | Virtual; June 2021 | ||||
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Area | Expedition | Conference | CVPRW | ||
Notes | HUPBA; no proj | Approved | no | ||
Call Number | Admin @ si @ RKE2021b | Serial | 3603 | ||
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