| Records |
| Author |
Albert Tatjer; Bhalaji Nagarajan; Ricardo Marques; Petia Radeva |
Title  |
CCLM: Class-Conditional Label Noise Modelling |
Type |
Conference Article |
| Year |
2023 |
Publication |
11th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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| Volume |
14062 |
Issue |
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Pages |
3-14 |
| Keywords |
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| Abstract |
The performance of deep neural networks highly depends on the quality and volume of the training data. However, cost-effective labelling processes such as crowdsourcing and web crawling often lead to data with noisy (i.e., wrong) labels. Making models robust to this label noise is thus of prime importance. A common approach is using loss distributions to model the label noise. However, the robustness of these methods highly depends on the accuracy of the division of training set into clean and noisy samples. In this work, we dive in this research direction highlighting the existing problem of treating this distribution globally and propose a class-conditional approach to split the clean and noisy samples. We apply our approach to the popular DivideMix algorithm and show how the local treatment fares better with respect to the global treatment of loss distribution. We validate our hypothesis on two popular benchmark datasets and show substantial improvements over the baseline experiments. We further analyze the effectiveness of the proposal using two different metrics – Noise Division Accuracy and Classiness. |
| Address |
Alicante; Spain; June 2023 |
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LNCS |
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Conference |
IbPRIA |
| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ TNM2023 |
Serial |
3925 |
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| Author |
C. Molina; G.P. Prause; Petia Radeva; M. Sonka |
| Title |
Catheter Path Reconstruction from Biplane Angiography using 3D Snakes. |
Type |
Miscellaneous |
| Year |
1998 |
Publication |
SPIE – Medical imaging. |
Abbreviated Journal |
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| Address |
San Diego; CA; USA |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ MPR1998 |
Serial |
22 |
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| Author |
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados |
| Title |
Categorization of Digital Ink Elements using Spectral Features |
Type |
Conference Article |
| Year |
2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
63–64 |
| Keywords |
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| Abstract |
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| Address |
Curitiba (Brazil) |
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Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ RSL2007c |
Serial |
888 |
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| Author |
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados |
| Title |
Categorization of Digital Ink Elements using Spectral Features |
Type |
Book Chapter |
| Year |
2008 |
Publication |
Graphics Recognition: Recent Advances and New Opportunities |
Abbreviated Journal |
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| Volume |
5046 |
Issue |
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Pages |
188–198 |
| Keywords |
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| Abstract |
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| Address |
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Thesis |
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| Publisher |
Springer–Verlag |
Place of Publication |
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Editor |
W. Liu, J. Llados, J.M. Ogier |
| Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
LNCS |
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Medium |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ RSL2008 |
Serial |
1099 |
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| Author |
Santiago Segui; Michal Drozdzal; Fernando Vilariño; Carolina Malagelada; Fernando Azpiroz; Petia Radeva; Jordi Vitria |
| Title |
Categorization and Segmentation of Intestinal Content Frames for Wireless Capsule Endoscopy |
Type |
Journal Article |
| Year |
2012 |
Publication |
IEEE Transactions on Information Technology in Biomedicine |
Abbreviated Journal |
TITB |
| Volume |
16 |
Issue |
6 |
Pages |
1341-1352 |
| Keywords |
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| Abstract |
Wireless capsule endoscopy (WCE) is a device that allows the direct visualization of gastrointestinal tract with minimal discomfort for the patient, but at the price of a large amount of time for screening. In order to reduce this time, several works have proposed to automatically remove all the frames showing intestinal content. These methods label frames as {intestinal content – clear} without discriminating between types of content (with different physiological meaning) or the portion of image covered. In addition, since the presence of intestinal content has been identified as an indicator of intestinal motility, its accurate quantification can show a potential clinical relevance. In this paper, we present a method for the robust detection and segmentation of intestinal content in WCE images, together with its further discrimination between turbid liquid and bubbles. Our proposal is based on a twofold system. First, frames presenting intestinal content are detected by a support vector machine classifier using color and textural information. Second, intestinal content frames are segmented into {turbid, bubbles, and clear} regions. We show a detailed validation using a large dataset. Our system outperforms previous methods and, for the first time, discriminates between turbid from bubbles media. |
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Place of Publication |
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| Series Editor |
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Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
1089-7771 |
ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
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| Notes |
MILAB; MV; OR;SIAI |
Approved |
no |
| Call Number |
Admin @ si @ SDV2012 |
Serial |
2124 |
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| Author |
Jordi Roca; C. Alejandro Parraga; Maria Vanrell |
| Title |
Categorical Focal Colours are Structurally Invariant Under Illuminant Changes |
Type |
Conference Article |
| Year |
2011 |
Publication |
European Conference on Visual Perception |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
196 |
| Keywords |
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| Abstract |
The visual system perceives the colour of surfaces approximately constant under changes of illumination. In this work, we investigate how stable is the perception of categorical \“focal\” colours and their interrelations with varying illuminants and simple chromatic backgrounds. It has been proposed that best examples of colour categories across languages cluster in small regions of the colour space and are restricted to a set of 11 basic terms (Kay and Regier, 2003 Proceedings of the National Academy of Sciences of the USA 100 9085\–9089). Following this, we developed a psychophysical paradigm that exploits the ability of subjects to reliably reproduce the most representative examples of each category, adjusting multiple test patches embedded in a coloured Mondrian. The experiment was run on a CRT monitor (inside a dark room) under various simulated illuminants. We modelled the recorded data for each subject and adapted state as a 3D interconnected structure (graph) in Lab space. The graph nodes were the subject\’s focal colours at each adaptation state. The model allowed us to get a better distance measure between focal structures under different illuminants. We found that perceptual focal structures tend to be preserved better than the structures of the physical \“ideal\” colours under illuminant changes. |
| Address |
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Thesis |
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Place of Publication |
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Editor |
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Original Title |
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Series Title |
Perception 40 |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
ECVP |
| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ RPV2011 |
Serial |
1867 |
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| Author |
Parichehr Behjati Ardakani; Diego Velazquez; Josep M. Gonfaus; Pau Rodriguez; Xavier Roca; Jordi Gonzalez |
| Title |
Catastrophic interference in Disguised Face Recognition |
Type |
Conference Article |
| Year |
2019 |
Publication |
9th Iberian Conference on Pattern Recognition and Image Analysis |
Abbreviated Journal |
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| Volume |
11868 |
Issue |
|
Pages |
64-75 |
| Keywords |
Neural network forgetness; Face recognition; Disguised Faces |
| Abstract |
It is commonly known the natural tendency of artificial neural networks to completely and abruptly forget previously known information when learning new information. We explore this behaviour in the context of Face Verification on the recently proposed Disguised Faces in the Wild dataset (DFW). We empirically evaluate several commonly used DCNN architectures on Face Recognition and distill some insights about the effect of sequential learning on distinct identities from different datasets, showing that the catastrophic forgetness phenomenon is present even in feature embeddings fine-tuned on different tasks from the original domain. |
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Place of Publication |
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LNCS |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
IbPRIA |
| Notes |
ISE; 600.098; 600.119 |
Approved |
no |
| Call Number |
Admin @ si @ AVG2019 |
Serial |
3416 |
| Permanent link to this record |
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| Author |
Shiqi Yang; Yaxing Wang; Luis Herranz; Shangling Jui; Joost Van de Weijer |
| Title |
Casting a BAIT for offline and online source-free domain adaptation |
Type |
Journal Article |
| Year |
2023 |
Publication |
Computer Vision and Image Understanding |
Abbreviated Journal |
CVIU |
| Volume |
234 |
Issue |
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Pages |
103747 |
| Keywords |
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| Abstract |
We address the source-free domain adaptation (SFDA) problem, where only the source model is available during adaptation to the target domain. We consider two settings: the offline setting where all target data can be visited multiple times (epochs) to arrive at a prediction for each target sample, and the online setting where the target data needs to be directly classified upon arrival. Inspired by diverse classifier based domain adaptation methods, in this paper we introduce a second classifier, but with another classifier head fixed. When adapting to the target domain, the additional classifier initialized from source classifier is expected to find misclassified features. Next, when updating the feature extractor, those features will be pushed towards the right side of the source decision boundary, thus achieving source-free domain adaptation. Experimental results show that the proposed method achieves competitive results for offline SFDA on several benchmark datasets compared with existing DA and SFDA methods, and our method surpasses by a large margin other SFDA methods under online source-free domain adaptation setting. |
| Address |
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Thesis |
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Place of Publication |
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Editor |
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Edition |
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Medium |
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Expedition |
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Conference |
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| Notes |
LAMP; MACO |
Approved |
no |
| Call Number |
Admin @ si @ YWH2023 |
Serial |
3874 |
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| Author |
Shifeng Zhang; Ajian Liu; Jun Wan; Yanyan Liang; Guogong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z. Li |
| Title |
CASIA-SURF: A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing |
Type |
Journal |
| Year |
2020 |
Publication |
IEEE Transactions on Biometrics, Behavior, and Identity Science |
Abbreviated Journal |
TTBIS |
| Volume |
2 |
Issue |
2 |
Pages |
182 - 193 |
| Keywords |
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| Abstract |
Face anti-spoofing is essential to prevent face recognition systems from a security breach. Much of the progresses have been made by the availability of face anti-spoofing benchmark datasets in recent years. However, existing face anti-spoofing benchmarks have limited number of subjects (≤170) and modalities (≤2), which hinder the further development of the academic community. To facilitate face anti-spoofing research, we introduce a large-scale multi-modal dataset, namely CASIA-SURF, which is the largest publicly available dataset for face anti-spoofing in terms of both subjects and modalities. Specifically, it consists of 1,000 subjects with 21,000 videos and each sample has 3 modalities ( i.e. , RGB, Depth and IR). We also provide comprehensive evaluation metrics, diverse evaluation protocols, training/validation/testing subsets and a measurement tool, developing a new benchmark for face anti-spoofing. Moreover, we present a novel multi-modal multi-scale fusion method as a strong baseline, which performs feature re-weighting to select the more informative channel features while suppressing the less useful ones for each modality across different scales. Extensive experiments have been conducted on the proposed dataset to verify its significance and generalization capability. The dataset is available at https://sites.google.com/qq.com/face-anti-spoofing/welcome/challengecvpr2019?authuser=0 |
| Address |
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Place of Publication |
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Summary Language |
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| Notes |
HuPBA; no proj |
Approved |
no |
| Call Number |
Admin @ si @ ZLW2020 |
Serial |
3412 |
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| Author |
Ajian Liu; Zichang Tan; Jun Wan; Sergio Escalera; Guodong Guo; Stan Z. Li |
| Title |
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-Ethnicity Face Anti-Spoofing |
Type |
Conference Article |
| Year |
2021 |
Publication |
IEEE Winter Conference on Applications of Computer Vision |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1178-1186 |
| Keywords |
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| Abstract |
The issue of ethnic bias has proven to affect the performance of face recognition in previous works, while it still remains to be vacant in face anti-spoofing. Therefore, in order to study the ethnic bias for face anti-spoofing, we introduce the largest CASIA-SURF Cross-ethnicity Face Anti-spoofing (CeFA) dataset, covering 3 ethnicities, 3 modalities, 1,607 subjects, and 2D plus 3D attack types. Five protocols are introduced to measure the affect under varied evaluation conditions, such as cross-ethnicity, unknown spoofs or both of them. As our knowledge, CASIA-SURF CeFA is the first dataset including explicit ethnic labels in current released datasets. Then, we propose a novel multi-modal fusion method as a strong baseline to alleviate the ethnic bias, which employs a partially shared fusion strategy to learn complementary information from multiple modalities. Extensive experiments have been conducted on the proposed dataset to verify its significance and generalization capability for other existing datasets, i.e., CASIA-SURF, OULU-NPU and SiW datasets. The dataset is available at https://sites.google.com/qq.com/face-anti-spoofing/welcome/challengecvpr2020?authuser=0. |
| Address |
Virtual; January 2021 |
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Place of Publication |
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Summary Language |
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Edition |
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Expedition |
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Conference |
WACV |
| Notes |
HUPBA; no proj |
Approved |
no |
| Call Number |
Admin @ si @ LTW2021 |
Serial |
3661 |
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| Author |
Daniel Ponsa; Antonio Lopez |
| Title |
Cascade of Classifiers for Vehicle Detection |
Type |
Conference Article |
| Year |
2007 |
Publication |
Advanced Concepts for Intelligent Vision Systems, LNCS 4678, volume 1, pp. 980–989 |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
vehicle detection |
| Abstract |
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| Address |
Delft (Netherlands) |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ PoL2007c |
Serial |
935 |
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| Author |
Fernando Vilariño; Panagiota Spyridonos; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
| Title |
Cascade analysis for intestinal contraction detection |
Type |
Conference Article |
| Year |
2006 |
Publication |
20th International Congress and exhibition Computer Assisted Radiology and Surgery |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
9-10 |
| Keywords |
intestine video analysis, anisotropic features, support vector machine, cascade of classifiers |
| Abstract |
In this work, we address the study of intestinal contractions in a novel approach based on a machine learning framework to process data from Wireless Capsule Video Endoscopy. Wireless endoscopy represents a unique way to visualize the intestine motility by creating long videos to visualize intestine dynamics. In this paper we argue that to analyze huge amount of wireless endoscopy data and define robust methods for contraction detection we should base our approach on sophisticated machine learning techniques. In particular, we propose a cascade of classifiers in order to remove different physiological phenomenon and obtain the motility pattern of small intestines. Our results show obtaining high specificity and sensitivity rates that highlight the high efficiency of the selected approach and support the feasibility of the proposed methodology in the automatic detection and analysis of intestine contractions. |
| Address |
Osaka (Japan) |
| Corporate Author |
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Thesis |
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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
CARS |
| Notes |
MV;OR;MILAB;SIAI |
Approved |
no |
| Call Number |
BCNPCL @ bcnpcl @ VSV2006a; IAM @ iam @ VSV2006h |
Serial |
726 |
| Permanent link to this record |
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| Author |
Petia Radeva; Jordi Vitria; Fernando Vilariño; Panagiota Spyridonos; Fernando Azpiroz; Juan Malagelada; Fosca de Iorio; Anna Accarino |
| Title |
Cascade analysis for intestinal contraction detection |
Type |
Patent |
| Year |
2009 |
Publication |
US 2009/0284589 A1 |
Abbreviated Journal |
USPO |
| Volume |
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Issue |
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Pages |
1-25 |
| Keywords |
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| Abstract |
A method and system cascade analysisi for intestinal contraction detection is provided by extracting from image frames captured in-vivo. The method and system also relate to the detection of turbid liquids in intestinal tracts, to automatic detection of video image frames taken in the gastrointestinal tract including a field of view obstructed by turbid media, and more particulary, to extraction of image data obstructed by turbid media. |
| Address |
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| Corporate Author |
US Patent Office |
Thesis |
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| Publisher |
US Patent Office |
Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
MILAB; OR; MV;SIAI |
Approved |
no |
| Call Number |
IAM @ iam @ RVV2009 |
Serial |
1700 |
| Permanent link to this record |
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| Author |
G.Blasco; Simone Balocco; J.Puig; J.Sanchez-Gonzalez; W.Ricart; J.Daunis-I-Estadella; X.Molina; S.Pedraza; J.M.Fernandez-Real |
| Title |
Carotid pulse wave velocity by magnetic resonance imaging is increased in middle-aged subjects with the metabolic syndrome |
Type |
Journal Article |
| Year |
2015 |
Publication |
International Journal of Cardiovascular Imaging |
Abbreviated Journal |
ICJI |
| Volume |
31 |
Issue |
3 |
Pages |
603-612 |
| Keywords |
Metabolic syndrome; Arterial stiffness; Pulse wave velocity; Carotid artery; Magnetic resonance |
| Abstract |
Arterial pulse wave velocity (PWV), an independent predictor of cardiovascular disease, physiologically increases with age; however, growing evidence suggests metabolic syndrome (MetS) accelerates this increase. Magnetic resonance imaging (MRI) enables reliable noninvasive assessment of arterial stiffness by measuring arterial PWV in specific vascular segments. We investigated the association between the presence of MetS and its components with carotid PWV (cPWV) in asymptomatic subjects without diabetes. We assessed cPWV by MRI in 61 individuals (mean age, 55.3 ± 14.1 years; median age, 55 years): 30 with MetS and 31 controls with similar age, sex, body mass index, and LDL-cholesterol levels. The study population was dichotomized by the median age. To remove the physiological association between PWV and age, unpaired t tests and multiple regression analyses were performed using the residuals of the regression between PWV and age. cPWV was higher in middle-aged subjects with MetS than in those without (p = 0.001), but no differences were found in elder subjects (p = 0.313). cPWV was associated with diastolic blood pressure (r = 0.276, p = 0.033) and waist circumference (r = 0.268, p = 0.038). The presence of MetS was associated with increased cPWV regardless of age, sex, blood pressure, and waist (p = 0.007). The MetS components contributing independently to an increased cPWV were hypertension (p = 0.018) and hypertriglyceridemia (p = 0.002). The presence of MetS is associated with an increased cPWV in middle-aged subjects. In particular, hypertension and hypertriglyceridemia may contribute to early progression of carotid stiffness. |
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| Publisher |
Springer Netherlands |
Place of Publication |
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Summary Language |
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Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
1569-5794 |
ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ BBP2015 |
Serial |
2670 |
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| Author |
Chen Zhang; Maria del Mar Vila Muñoz; Petia Radeva; Roberto Elosua; Maria Grau; Angels Betriu; Elvira Fernandez-Giraldez; Laura Igual |
| Title |
Carotid Artery Segmentation in Ultrasound Images |
Type |
Conference Article |
| Year |
2015 |
Publication |
Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT2015), Joint MICCAI Workshops |
Abbreviated Journal |
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Issue |
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Pages |
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| Address |
Munich; Germany; October 2015 |
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|
Edition |
|
| ISSN |
|
ISBN |
|
Medium |
|
| Area |
|
Expedition |
|
Conference |
CVII-STENT |
| Notes |
MILAB |
Approved |
no |
| Call Number |
Admin @ si @ ZVR2015 |
Serial |
2675 |
| Permanent link to this record |
