| Records |
| Author |
Fadi Dornaika; Bogdan Raducanu |
| Title |
Recognizing Facial Expressions in Videos Using a Facial Action Analysis-Synthesis Scheme |
Type |
Miscellaneous |
| Year |
2006 |
Publication  |
International Conference on Advanced Video and Signal Based Surveillance, (AVSS 2006), ISBN: 0–7695–2688–8 |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
Sydney (Australia) |
| 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 |
OR;MV |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ DoR2006 |
Serial |
799 |
| Permanent link to this record |
| |
|
| |
| Author |
Zhong Jin; Franck Davoine; Zhen Lou; Jing-Yu Yang |
| Title |
A novel PCA-based Bayes classifier and face analysis |
Type |
Book Chapter |
| Year |
2006 |
Publication |
International Conference on Advances in Biometrics (ICB’06), LNCS 3832: 144–150 |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
Hong Kong |
| 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 @ JDL2006 |
Serial |
624 |
| Permanent link to this record |
| |
|
| |
| Author |
Oscar Amoros; Sergio Escalera; Anna Puig |
| Title |
Adaboost GPU-based Classifier for Direct Volume Rendering |
Type |
Conference Article |
| Year |
2011 |
Publication |
International Conference on Computer Graphics Theory and Applications |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
215-219 |
| Keywords |
|
| Abstract |
In volume visualization, the voxel visibitity and materials are carried out through an interactive editing of Transfer Function. In this paper, we present a two-level GPU-based labeling method that computes in times of rendering a set of labeled structures using the Adaboost machine learning classifier. In a pre-processing step, Adaboost trains a binary classifier from a pre-labeled dataset and, in each sample, takes into account a set of features. This binary classifier is a weighted combination of weak classifiers, which can be expressed as simple decision functions estimated on a single feature values. Then, at the testing stage, each weak classifier is independently applied on the features of a set of unlabeled samples. We propose an alternative representation of these classifiers that allow a GPU-based parallelizated testing stage embedded into the visualization pipeline. The empirical results confirm the OpenCL-based classification of biomedical datasets as a tough problem where an opportunity for further research emerges. |
| Address |
Algarve, Portugal |
| 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 |
GRAPP |
| Notes |
MILAB; HuPBA |
Approved |
no |
| Call Number |
Admin @ si @ AEP2011 |
Serial |
1774 |
| Permanent link to this record |
| |
|
| |
| Author |
Maya Dimitrova; Ch. Roumenin; Siya Lozanova; David Rotger; Petia Radeva |
| Title |
An Interface System Based on Multimodal Principle for Cardiological Diagnosis Assistance |
Type |
Conference Article |
| Year |
2007 |
Publication |
International Conference On Computer Systems And Technologies |
Abbreviated Journal |
|
| Volume |
IIIB.4 |
Issue |
|
Pages |
1–6 |
| Keywords |
|
| Abstract |
|
| Address |
Bulgaria |
| 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 |
CompSysTech’07 |
| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ DRL2007 |
Serial |
833 |
| Permanent link to this record |
| |
|
| |
| Author |
Lubomir Latchev; Maya Dimitrova; David Rotger |
| Title |
A Classifier of Technical Diagnostic States of Electrocardiograph |
Type |
Miscellaneous |
| Year |
2006 |
Publication |
International Conference on Computer Systems and Technologies (CompSysTech´06), 15.1–15.6 |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
|
| Address |
University of Veliko Tarnovo (Bulgaria) |
| 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 @ LDR2006 |
Serial |
774 |
| Permanent link to this record |
| |
|
| |
| Author |
Carme Julia; Joan Serrat; Antonio Lopez; Felipe Lumbreras; Daniel Ponsa |
| Title |
Motion segmentation through factorization. Application to night driving assistance |
Type |
Miscellaneous |
| Year |
2006 |
Publication |
International Conference on Computer Vision Theory and Applications, (2) |
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 @ JSL2006a |
Serial |
638 |
| 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 |
| |
|
| |
| Author |
Javad Zolfaghari Bengar; Joost Van de Weijer; Bartlomiej Twardowski; Bogdan Raducanu |
| Title |
Reducing Label Effort: Self- Supervised Meets Active Learning |
Type |
Conference Article |
| Year |
2021 |
Publication |
International Conference on Computer Vision Workshops |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
1631-1639 |
| Keywords |
|
| Abstract |
Active learning is a paradigm aimed at reducing the annotation effort by training the model on actively selected informative and/or representative samples. Another paradigm to reduce the annotation effort is self-training that learns from a large amount of unlabeled data in an unsupervised way and fine-tunes on few labeled samples. Recent developments in self-training have achieved very impressive results rivaling supervised learning on some datasets. The current work focuses on whether the two paradigms can benefit from each other. We studied object recognition datasets including CIFAR10, CIFAR100 and Tiny ImageNet with several labeling budgets for the evaluations. Our experiments reveal that self-training is remarkably more efficient than active learning at reducing the labeling effort, that for a low labeling budget, active learning offers no benefit to self-training, and finally that the combination of active learning and self-training is fruitful when the labeling budget is high. The performance gap between active learning trained either with self-training or from scratch diminishes as we approach to the point where almost half of the dataset is labeled. |
| Address |
October 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 |
ICCVW |
| Notes |
LAMP; OR |
Approved |
no |
| Call Number |
Admin @ si @ ZVT2021 |
Serial |
3672 |
| Permanent link to this record |
| |
|
| |
| Author |
Shun Yao; Fei Yang; Yongmei Cheng; Mikhail Mozerov |
| Title |
3D Shapes Local Geometry Codes Learning with SDF |
Type |
Conference Article |
| Year |
2021 |
Publication |
International Conference on Computer Vision Workshops |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
2110-2117 |
| Keywords |
|
| Abstract |
A signed distance function (SDF) as the 3D shape description is one of the most effective approaches to represent 3D geometry for rendering and reconstruction. Our work is inspired by the state-of-the-art method DeepSDF [17] that learns and analyzes the 3D shape as the iso-surface of its shell and this method has shown promising results especially in the 3D shape reconstruction and compression domain. In this paper, we consider the degeneration problem of reconstruction coming from the capacity decrease of the DeepSDF model, which approximates the SDF with a neural network and a single latent code. We propose Local Geometry Code Learning (LGCL), a model that improves the original DeepSDF results by learning from a local shape geometry of the full 3D shape. We add an extra graph neural network to split the single transmittable latent code into a set of local latent codes distributed on the 3D shape. Mentioned latent codes are used to approximate the SDF in their local regions, which will alleviate the complexity of the approximation compared to the original DeepSDF. Furthermore, we introduce a new geometric loss function to facilitate the training of these local latent codes. Note that other local shape adjusting methods use the 3D voxel representation, which in turn is a problem highly difficult to solve or even is insolvable. In contrast, our architecture is based on graph processing implicitly and performs the learning regression process directly in the latent code space, thus make the proposed architecture more flexible and also simple for realization. Our experiments on 3D shape reconstruction demonstrate that our LGCL method can keep more details with a significantly smaller size of the SDF decoder and outperforms considerably the original DeepSDF method under the most important quantitative metrics. |
| Address |
VIRTUAL; October 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 |
ICCVW |
| Notes |
LAMP |
Approved |
no |
| Call Number |
Admin @ si @ YYC2021 |
Serial |
3681 |
| Permanent link to this record |
| |
|
| |
| Author |
Joost Van de Weijer; Shida Beigpour |
| Title |
The Dichromatic Reflection Model: Future Research Directions and Applications |
Type |
Conference Article |
| Year |
2011 |
Publication |
International Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
dblp |
| Abstract |
The dichromatic reflection model (DRM) predicts that color distributions form a parallelogram in color space, whose shape is defined by the body reflectance and the illuminant color. In this paper we resume the assumptions which led to the DRM and shortly recall two of its main applications domains: color image segmentation and photometric invariant feature computation. After having introduced the model we discuss several limitations of the theory, especially those which are raised once working on real-world uncalibrated images. In addition, we summerize recent extensions of the model which allow to handle more complicated light interactions. Finally, we suggest some future research directions which would further extend its applicability. |
| Address |
Algarve, Portugal |
| Corporate Author |
|
Thesis |
|
| Publisher |
SciTePress |
Place of Publication |
|
Editor |
Mestetskiy, Leonid and Braz, José |
| Language |
|
Summary Language |
|
Original Title |
|
| Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
|
ISBN |
978-989-8425-47-8 |
Medium |
|
| Area |
|
Expedition |
|
Conference |
VISIGRAPP |
| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ WeB2011 |
Serial |
1778 |
| Permanent link to this record |
| |
|
| |
| Author |
Petia Radeva; Enric Marti |
| Title |
Facial Features Segmentation by Model-Based Snakes |
Type |
Conference Article |
| Year |
1995 |
Publication |
International Conference on Computing Analysis and Image Processing |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
Deformable models have recently been accepted as a standard technique to segment different features in facial images. Despite they give a good approximation of the salient features in a facial image, the resulting shapes of the segmentation process seem somewhat artificial with respect to the natural feature shapes. In this paper we show that active contour models (in particular, rubber snakes) give more close and natural representation of the detected feature shape. Besides, using snakes for facial segmentation frees us from the problem of determination of the numerous weigths of deformable models. Another advantage of rubber snakes is their reduced computational cost. Our experiments using rubber snakes for segmentation of facial snapshots have shown a significant improvement compared to deformable models. |
| Address |
|
| Corporate Author |
|
Thesis |
|
| Publisher |
|
Place of Publication |
Bellaterra (Barcelona), Spain |
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;IAM |
Approved |
no |
| Call Number |
IAM @ iam @ RAM1995a |
Serial |
1633 |
| Permanent link to this record |
| |
|
| |
| Author |
Partha Pratim Roy; Josep Llados; Umapada Pal |
| Title |
Text/Graphics Separation in Color Maps |
Type |
Conference Article |
| Year |
2007 |
Publication |
International Conference on Computing: Theory and Applications |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
545–551 |
| Keywords |
|
| Abstract |
|
| Address |
Kolkata (India) |
| 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 |
ICCTA |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ RLP2007a |
Serial |
806 |
| Permanent link to this record |
| |
|
| |
| Author |
Pedro Martins; Paulo Carvalho; Carlo Gatta |
| Title |
Stable Salient Shapes |
Type |
Conference Article |
| Year |
2012 |
Publication |
International Conference on Digital Image Computing: Techniques and Applications |
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 |
DICTA |
| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ MCG2012b |
Serial |
2166 |
| Permanent link to this record |
| |
|
| |
| Author |
Mariella Dimiccoli; Petia Radeva |
| Title |
Lifelogging in the era of outstanding digitization |
Type |
Conference Article |
| Year |
2015 |
Publication |
International Conference on Digital Presentation and Preservation of Cultural and Scientific Heritage |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
|
| Keywords |
|
| Abstract |
In this paper, we give an overview on the emerging trend of the digitized self, focusing on visual lifelogging through wearable cameras. This is about continuously recording our life from a first-person view by wearing a camera that passively captures images. On one hand, visual lifelogging has opened the door to a large number of applications, including health. On the other, it has also boosted new challenges in the field of data analysis as well as new ethical concerns. While currently increasing efforts are being devoted to exploit lifelogging data for the improvement of personal well-being, we believe there are still many interesting applications to explore, ranging from tourism to the digitization of human behavior. |
| Address |
Verliko Tarmovo; Bulgaria; September 2015 |
| 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 |
DiPP |
| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @DiR2016 |
Serial |
2792 |
| Permanent link to this record |
| |
|
| |
| Author |
Helena Muñoz; Fernando Vilariño; Dimosthenis Karatzas |
| Title |
Eye-Movements During Information Extraction from Administrative Documents |
Type |
Conference Article |
| Year |
2019 |
Publication |
International Conference on Document Analysis and Recognition Workshops |
Abbreviated Journal |
|
| Volume |
|
Issue |
|
Pages |
6-9 |
| Keywords |
|
| Abstract |
A key aspect of digital mailroom processes is the extraction of relevant information from administrative documents. More often than not, the extraction process cannot be fully automated, and there is instead an important amount of manual intervention. In this work we study the human process of information extraction from invoice document images. We explore whether the gaze of human annotators during an manual information extraction process could be exploited towards reducing the manual effort and automating the process. To this end, we perform an eye-tracking experiment replicating real-life interfaces for information extraction. Through this pilot study we demonstrate that relevant areas in the document can be identified reliably through automatic fixation classification, and the obtained models generalize well to new subjects. Our findings indicate that it is in principle possible to integrate the human in the document image analysis loop, making use of the scanpath to automate the extraction process or verify extracted information. |
| Address |
Sydney; Australia; September 2019 |
| 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 |
ICDARW |
| Notes |
DAG; 600.140; 600.121; 600.129;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ MVK2019 |
Serial |
3336 |
| Permanent link to this record |
