| Home | [211–220] << 221 222 223 224 225 226 227 228 >> |
|
| Records | |||||
|---|---|---|---|---|---|
| Author | Sergio Escalera; Ralf Herbrich | ||||
| Title | The NeurIPS’18 Competition: From Machine Learning to Intelligent Conversations | Type | Book Whole | ||
| Year | 2020 | Publication | The Springer Series on Challenges in Machine Learning | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | This volume presents the results of the Neural Information Processing Systems Competition track at the 2018 NeurIPS conference. The competition follows the same format as the 2017 competition track for NIPS. Out of 21 submitted proposals, eight competition proposals were selected, spanning the area of Robotics, Health, Computer Vision, Natural Language Processing, Systems and Physics. Competitions have become an integral part of advancing state-of-the-art in artificial intelligence (AI). They exhibit one important difference to benchmarks: Competitions test a system end-to-end rather than evaluating only a single component; they assess the practicability of an algorithmic solution in addition to assessing feasibility. | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | Sergio Escalera; Ralf Hebrick | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 2520-1328 | ISBN | 978-3-030-29134-1 | Medium | |
| Area | Expedition | Conference | |||
| Notes | HuPBA; no menciona | Approved | no | ||
| Call Number | Admin @ si @ HeE2020 | Serial | 3328 | ||
| Permanent link to this record | |||||
| Author | Ruben Tito; Minesh Mathew; C.V. Jawahar; Ernest Valveny; Dimosthenis Karatzas | ||||
| Title | ICDAR 2021 Competition on Document Visual Question Answering | Type | Conference Article | ||
| Year | 2021 | Publication | 16th International Conference on Document Analysis and Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 635-649 | ||
| Keywords | |||||
| Abstract | In this report we present results of the ICDAR 2021 edition of the Document Visual Question Challenges. This edition complements the previous tasks on Single Document VQA and Document Collection VQA with a newly introduced on Infographics VQA. Infographics VQA is based on a new dataset of more than 5, 000 infographics images and 30, 000 question-answer pairs. The winner methods have scored 0.6120 ANLS in Infographics VQA task, 0.7743 ANLSL in Document Collection VQA task and 0.8705 ANLS in Single Document VQA. We present a summary of the datasets used for each task, description of each of the submitted methods and the results and analysis of their performance. A summary of the progress made on Single Document VQA since the first edition of the DocVQA 2020 challenge is also presented. | ||||
| Address | VIRTUAL; Lausanne; Suissa; September 2021 | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | ICDAR | ||
| Notes | DAG; 600.121 | Approved | no | ||
| Call Number | Admin @ si @ TMJ2021 | Serial | 3624 | ||
| Permanent link to this record | |||||
| Author | Antonio Lopez; Cristina Cañero; Joan Serrat; J. Saludes; Felipe Lumbreras; T. Graf | ||||
| Title | Detection of lane markings based on ridgeness and RANSAC | Type | Miscellaneous | ||
| Year | 2005 | Publication | Proceedings of the 8th International IEEE Conference on Intelligent Transportation Systems, 733–738 | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | lane markings | ||||
| Abstract | |||||
| Address | Vienna (Austria) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ LCS2005 | Serial | 588 | ||
| Permanent link to this record | |||||
| Author | Marcos V Conde; Florin Vasluianu; Javier Vazquez; Radu Timofte | ||||
| Title | Perceptual image enhancement for smartphone real-time applications | Type | Conference Article | ||
| Year | 2023 | Publication | Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision | Abbreviated Journal | |
| Volume | Issue | Pages | 1848-1858 | ||
| Keywords | |||||
| Abstract | Recent advances in camera designs and imaging pipelines allow us to capture high-quality images using smartphones. However, due to the small size and lens limitations of the smartphone cameras, we commonly find artifacts or degradation in the processed images. The most common unpleasant effects are noise artifacts, diffraction artifacts, blur, and HDR overexposure. Deep learning methods for image restoration can successfully remove these artifacts. However, most approaches are not suitable for real-time applications on mobile devices due to their heavy computation and memory requirements. In this paper, we propose LPIENet, a lightweight network for perceptual image enhancement, with the focus on deploying it on smartphones. Our experiments show that, with much fewer parameters and operations, our model can deal with the mentioned artifacts and achieve competitive performance compared with state-of-the-art methods on standard benchmarks. Moreover, to prove the efficiency and reliability of our approach, we deployed the model directly on commercial smartphones and evaluated its performance. Our model can process 2K resolution images under 1 second in mid-level commercial smartphones. | ||||
| Address | Waikoloa; Hawai; USA; January 2023 | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | WACV | ||
| Notes | MACO; CIC | Approved | no | ||
| Call Number | Admin @ si @ CVV2023 | Serial | 3900 | ||
| Permanent link to this record | |||||
| Author | Arjan Gijsenij; Theo Gevers; Joost Van de Weijer | ||||
| Title | Physics-based Edge Evaluation for Improved Color Constancy | Type | Conference Article | ||
| Year | 2009 | Publication | 22nd IEEE Conference on Computer Vision and Pattern Recognition | Abbreviated Journal | |
| Volume | Issue | Pages | 581 – 588 | ||
| Keywords | |||||
| Abstract | Edge-based color constancy makes use of image derivatives to estimate the illuminant. However, different edge types exist in real-world images such as shadow, geometry, material and highlight edges. These different edge types may have a distinctive influence on the performance of the illuminant estimation. | ||||
| Address | Miami, USA | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1063-6919 | ISBN | 978-1-4244-3992-8 | Medium | |
| Area | Expedition | Conference | CVPR | ||
| Notes | CAT;ISE | Approved | no | ||
| Call Number | CAT @ cat @ GGW2009 | Serial | 1197 | ||
| Permanent link to this record | |||||
| Author | Mikhail Mozerov; Ignasi Rius; Xavier Roca; Jordi Gonzalez | ||||
| Title | Nonlinear synchronization for automatic learning of 3D pose variability in human motion sequences | Type | Journal Article | ||
| Year | 2010 | Publication | EURASIP Journal on Advances in Signal Processing | Abbreviated Journal | EURASIPJ |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | Article ID 507247
A dense matching algorithm that solves the problem of synchronizing prerecorded human motion sequences, which show different speeds and accelerations, is proposed. The approach is based on minimization of MRF energy and solves the problem by using Dynamic Programming. Additionally, an optimal sequence is automatically selected from the input dataset to be a time-scale pattern for all other sequences. The paper utilizes an action specific model which automatically learns the variability of 3D human postures observed in a set of training sequences. The model is trained using the public CMU motion capture dataset for the walking action, and a mean walking performance is automatically learnt. Additionally, statistics about the observed variability of the postures and motion direction are also computed at each time step. The synchronized motion sequences are used to learn a model of human motion for action recognition and full-body tracking purposes. |
||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1110-8657 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Notes | ISE | Approved | no | ||
| Call Number | ISE @ ise @ MRR2010 | Serial | 1208 | ||
| Permanent link to this record | |||||
| Author | Jaume Amores; Petia Radeva | ||||
| Title | Registration and Retrieval of Highly Elastic Bodies using Contextual Information | Type | Journal Article | ||
| Year | 2005 | Publication | Pattern Recognition Letters | Abbreviated Journal | PRL |
| Volume | 26 | Issue | 11 | Pages | 1720–1731 |
| Keywords | |||||
| Abstract | IF: 1.138 | ||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | ADAS;MILAB | Approved | no | ||
| Call Number | ADAS @ adas @ AmR2005b | Serial | 592 | ||
| Permanent link to this record | |||||
| Author | David Geronimo; Antonio Lopez; Angel Sappa | ||||
| Title | Computer Vision Approaches for Pedestrian Detection: Visible Spectrum Survey | Type | Conference Article | ||
| Year | 2007 | Publication | 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 | Abbreviated Journal | |
| Volume | 1 | Issue | Pages | 547–554 | |
| Keywords | Pedestrian detection | ||||
| Abstract | Pedestrian detection from images of the visible spectrum is a high relevant area of research given its potential impact in the design of pedestrian protection systems. There are many proposals in the literature but they lack a comparative viewpoint. According to this, in this paper we first propose a common framework where we fit the different approaches, and second we use this framework to provide a comparative point of view of the details of such different approaches, pointing out also the main challenges to be solved in the future. In summary, we expect
this survey to be useful for both novel and experienced researchers in the field. In the first case, as a clarifying snapshot of the state of the art; in the second, as a way to unveil trends and to take conclusions from the comparative study. |
||||
| Address | Girona (Spain) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | J. Marti et al. | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ GLS2007 | Serial | 804 | ||
| Permanent link to this record | |||||
| Author | David Geronimo; Antonio Lopez; Daniel Ponsa; Angel Sappa | ||||
| Title | Haar Wavelets and Edge Orientation Histograms for On-Board Pedestrian Detection | Type | Conference Article | ||
| Year | 2007 | Publication | 3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 | Abbreviated Journal | |
| Volume | 1 | Issue | Pages | 418–425 | |
| Keywords | Pedestrian detection | ||||
| Abstract | |||||
| Address | Girona (Spain) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | J. Marti et al. | ||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ GLP2007a | Serial | 805 | ||
| Permanent link to this record | |||||
| Author | David Geronimo; Angel Sappa; Antonio Lopez; Daniel Ponsa | ||||
| Title | Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection | Type | Conference Article | ||
| Year | 2007 | Publication | Proceedings of the 5th International Conference on Computer Vision Systems | Abbreviated Journal | ICVS |
| Volume | Issue | Pages | |||
| Keywords | Pedestrian Detection | ||||
| Abstract | On–board pedestrian detection is in the frontier of the state–of–the–art since it implies processing outdoor scenarios from a mobile platform and searching for aspect–changing objects in cluttered urban environments. Most promising approaches include the development of classifiers based on feature selection and machine learning. However, they use a large number of features which compromises real–time. Thus, methods for running the classifiers in only a few image windows must be provided. In this paper we contribute in both aspects, proposing a camera
pose estimation method for adaptive sparse image sampling, as well as a classifier for pedestrian detection based on Haar wavelets and edge orientation histograms as features and AdaBoost as learning machine. Both proposals are compared with relevant approaches in the literature, showing comparable results but reducing processing time by four for the sampling tasks and by ten for the classification one. |
||||
| Address | Bielefeld (Germany) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ gsl2007a | Serial | 786 | ||
| Permanent link to this record | |||||
| Author | Jaume Amores; N. Sebe; Petia Radeva; Theo Gevers; A. Smeulders | ||||
| Title | Boosting Contextual Information in Content-based Image Retrieval | Type | Miscellaneous | ||
| Year | 2004 | Publication | 6th ACM SIGMM International Workshop on Multimedia Information Retrieval | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | |||||
| Address | New York, USA | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | MILAB;ISE | Approved | no | ||
| Call Number | ADAS @ adas @ ASR2004 | Serial | 466 | ||
| Permanent link to this record | |||||
| Author | Juan Andrade; T. Alejandra Vidal; A. Sanfeliu | ||||
| Title | Multirobot C-SLAM: Simultaneous localization, control, and mapping | Type | Miscellaneous | ||
| Year | 2005 | Publication | in Proc. IEEE ICRA05 Workshop on Network Robot Systems | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | |||||
| Address | Barcelona (Spain) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | Approved | no | |||
| Call Number | Admin @ si @ AVS2005b | Serial | 549 | ||
| Permanent link to this record | |||||
| Author | Fadi Dornaika; Angel Sappa | ||||
| Title | SFM for Planar Scenes: a Direct and Robust Approach | Type | Miscellaneous | ||
| Year | 2005 | Publication | International Conference on Informatics in Control, Automation and Robotics (ICINCO 2005) | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | |||||
| Address | Barcelona (Spain) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ DoS2005a | Serial | 559 | ||
| Permanent link to this record | |||||
| Author | Fadi Dornaika; Angel Sappa | ||||
| Title | Appearance-based 3D Face Tracker: An Evaluation Study | Type | Miscellaneous | ||
| Year | 2005 | Publication | 2nd IEEE Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 121–128 | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | |||||
| Address | Beijing (China) | ||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ DoS2005b | Serial | 580 | ||
| Permanent link to this record | |||||
| Author | Fadi Dornaika; Angel Sappa | ||||
| Title | Improving Appearance-Based 3D Face Tracking Using Sparse Stereo Data | Type | Miscellaneous | ||
| Year | 2006 | Publication | International Conference on Computer Vision Theory and Applications, (2): 310–317 | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | |||||
| Abstract | |||||
| Address | |||||
| Corporate Author | Thesis | ||||
| Publisher | Place of Publication | Editor | |||
| Language | Summary Language | Original Title | |||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | ISBN | Medium | |||
| Area | Expedition | Conference | |||
| Notes | ADAS | Approved | no | ||
| Call Number | ADAS @ adas @ DoS2006a | Serial | 636 | ||
| Permanent link to this record | |||||