| Records |
| Author |
Isabelle Guyon; Lisheng Sun Hosoya; Marc Boulle; Hugo Jair Escalante; Sergio Escalera; Zhengying Liu; Damir Jajetic; Bisakha Ray; Mehreen Saeed; Michele Sebag; Alexander R.Statnikov; Wei-Wei Tu; Evelyne Viegas |
| Title |
Analysis of the AutoML Challenge Series 2015-2018. |
Type |
Book Chapter |
| Year |
2019 |
Publication |
Automated Machine Learning |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
177-219 |
| Keywords |
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| Abstract |
The ChaLearn AutoML Challenge (The authors are in alphabetical order of last name, except the first author who did most of the writing and the second author who produced most of the numerical analyses and plots.) (NIPS 2015 – ICML 2016) consisted of six rounds of a machine learning competition of progressive difficulty, subject to limited computational resources. It was followed bya one-round AutoML challenge (PAKDD 2018). The AutoML setting differs from former model selection/hyper-parameter selection challenges, such as the one we previously organized for NIPS 2006: the participants aim to develop fully automated and computationally efficient systems, capable of being trained and tested without human intervention, with code submission. This chapter analyzes the results of these competitions and provides details about the datasets, which were not revealed to the participants. The solutions of the winners are systematically benchmarked over all datasets of all rounds and compared with canonical machine learning algorithms available in scikit-learn. All materials discussed in this chapter (data and code) have been made publicly available at http://automl.chalearn.org/. |
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Springer |
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SSCML |
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| Notes |
HuPBA; no proj |
Approved |
no |
| Call Number |
Admin @ si @ GHB2019 |
Serial |
3330 |
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| Author |
Estefania Talavera; Alexandre Cola; Nicolai Petkov; Petia Radeva |
| Title |
Towards Egocentric Person Re-identification and Social Pattern Analysis. |
Type |
Book Chapter |
| Year |
2019 |
Publication |
Frontiers in Artificial Intelligence and Applications |
Abbreviated Journal |
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| Volume |
310 |
Issue |
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Pages |
203 - 211 |
| Keywords |
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| Abstract |
CoRR abs/1905.04073
Wearable cameras capture a first-person view of the daily activities of the camera wearer, offering a visual diary of the user behaviour. Detection of the appearance of people the camera user interacts with for social interactions analysis is of high interest. Generally speaking, social events, lifestyle and health are highly correlated, but there is a lack of tools to monitor and analyse them. We consider that egocentric vision provides a tool to obtain information and understand users social interactions. We propose a model that enables us to evaluate and visualize social traits obtained by analysing social interactions appearance within egocentric photostreams. Given sets of egocentric images, we detect the appearance of faces within the days of the camera wearer, and rely on clustering algorithms to group their feature descriptors in order to re-identify persons. Recurrence of detected faces within photostreams allows us to shape an idea of the social pattern of behaviour of the user. We validated our model over several weeks recorded by different camera wearers. Our findings indicate that social profiles are potentially useful for social behaviour interpretation. |
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| Notes |
MILAB; no proj |
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no |
| Call Number |
Admin @ si @ TCP2019 |
Serial |
3377 |
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| Author |
Lluis Gomez; Anguelos Nicolaou; Marçal Rusiñol; Dimosthenis Karatzas |
| Title |
12 years of ICDAR Robust Reading Competitions: The evolution of reading systems for unconstrained text understanding |
Type |
Book Chapter |
| Year |
2020 |
Publication |
Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis |
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Springer |
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Editor |
K. Alahari; C.V. Jawahar |
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Series Title |
Series on Advances in Computer Vision and Pattern Recognition |
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| Notes |
DAG; 600.121 |
Approved |
no |
| Call Number |
GNR2020 |
Serial |
3494 |
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| Author |
Lluis Gomez; Dena Bazazian; Dimosthenis Karatzas |
| Title |
Historical review of scene text detection research |
Type |
Book Chapter |
| Year |
2020 |
Publication |
Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis |
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Springer |
Place of Publication |
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Editor |
K. Alahari; C.V. Jawahar |
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Original Title |
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Series Title |
Series on Advances in Computer Vision and Pattern Recognition |
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| Notes |
DAG; 600.121 |
Approved |
no |
| Call Number |
Admin @ si @ GBK2020 |
Serial |
3495 |
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| Author |
Jon Almazan; Lluis Gomez; Suman Ghosh; Ernest Valveny; Dimosthenis Karatzas |
| Title |
WATTS: A common representation of word images and strings using embedded attributes for text recognition and retrieval |
Type |
Book Chapter |
| Year |
2020 |
Publication |
Visual Text Interpretation – Algorithms and Applications in Scene Understanding and Document Analysis |
Abbreviated Journal |
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Issue |
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Springer |
Place of Publication |
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Editor |
Analysis”, K. Alahari; C.V. Jawahar |
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Original Title |
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Series Title |
Series on Advances in Computer Vision and Pattern Recognition |
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| Notes |
DAG; 600.121 |
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no |
| Call Number |
Admin @ si @ AGG2020 |
Serial |
3496 |
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| Author |
Patricia Suarez; Angel Sappa; Boris X. Vintimilla |
| Title |
Deep learning-based vegetation index estimation |
Type |
Book Chapter |
| Year |
2021 |
Publication |
Generative Adversarial Networks for Image-to-Image Translation |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
205-234 |
| Keywords |
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| Abstract |
Chapter 9 |
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Thesis |
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| Publisher |
Elsevier |
Place of Publication |
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Editor |
A.Solanki; A.Nayyar; M.Naved |
| Language |
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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 |
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Expedition |
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Conference |
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| Notes |
MSIAU; 600.122 |
Approved |
no |
| Call Number |
Admin @ si @ SSV2021a |
Serial |
3578 |
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| Author |
Debora Gil; Oriol Ramos Terrades; Raquel Perez |
| Title |
Topological Radiomics (TOPiomics): Early Detection of Genetic Abnormalities in Cancer Treatment Evolution |
Type |
Book Chapter |
| Year |
2021 |
Publication |
Extended Abstracts GEOMVAP 2019, Trends in Mathematics 15 |
Abbreviated Journal |
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| Volume |
15 |
Issue |
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Pages |
89–93 |
| Keywords |
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| Abstract |
Abnormalities in radiomic measures correlate to genomic alterations prone to alter the outcome of personalized anti-cancer treatments. TOPiomics is a new method for the early detection of variations in tumor imaging phenotype from a topological structure in multi-view radiomic spaces. |
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Thesis |
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| Publisher |
Springer Nature |
Place of Publication |
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Editor |
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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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Edition |
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ISBN |
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Expedition |
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Conference |
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| Notes |
IAM; DAG; 600.120; 600.145; 600.139 |
Approved |
no |
| Call Number |
Admin @ si @ GRP2021 |
Serial |
3594 |
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| Author |
Michael Teutsch; Angel Sappa; Riad I. Hammoud |
| Title |
Image and Video Enhancement |
Type |
Book Chapter |
| Year |
2022 |
Publication |
Computer Vision in the Infrared Spectrum. Synthesis Lectures on Computer Vision |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
9-21 |
| Keywords |
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| Abstract |
Image and video enhancement aims at improving the signal quality relative to imaging artifacts such as noise and blur or atmospheric perturbations such as turbulence and haze. It is usually performed in order to assist humans in analyzing image and video content or simply to present humans visually appealing images and videos. However, image and video enhancement can also be used as a preprocessing technique to ease the task and thus improve the performance of subsequent automatic image content analysis algorithms: preceding dehazing can improve object detection as shown by [23] or explicit turbulence modeling can improve moving object detection as discussed by [24]. But it remains an open question whether image and video enhancement should rather be performed explicitly as a preprocessing step or implicitly for example by feeding affected images directly to a neural network for image content analysis like object detection [25]. Especially for real-time video processing at low latency it can be better to handle image perturbation implicitly in order to minimize the processing time of an algorithm. This can be achieved by making algorithms for image content analysis robust or even invariant to perturbations such as noise or blur. Additionally, mistakes of an individual preprocessing module can obviously affect the quality of the entire processing pipeline. |
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Thesis |
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| Publisher |
Springer |
Place of Publication |
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Editor |
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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 |
SLCV |
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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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Expedition |
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Conference |
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| Notes |
MSIAU; MACO |
Approved |
no |
| Call Number |
Admin @ si @ TSH2022a |
Serial |
3807 |
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| Author |
Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li |
| Title |
Face Presentation Attack Detection (PAD) Challenges |
Type |
Book Chapter |
| Year |
2023 |
Publication |
Advances in Face Presentation Attack Detection |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
17–35 |
| Keywords |
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| Abstract |
In recent years, the security of face recognition systems has been increasingly threatened. Face Anti-spoofing (FAS) is essential to secure face recognition systems primarily from various attacks. In order to attract researchers and push forward the state of the art in Face Presentation Attack Detection (PAD), we organized three editions of Face Anti-spoofing Workshop and Competition at CVPR 2019, CVPR 2020, and ICCV 2021, which have attracted more than 800 teams from academia and industry, and greatly promoted the algorithms to overcome many challenging problems. In this chapter, we introduce the detailed competition process, including the challenge phases, timeline and evaluation metrics. Along with the workshop, we will introduce the corresponding dataset for each competition including data acquisition details, data processing, statistics, and evaluation protocol. Finally, we provide the available link to download the datasets used in the challenges. |
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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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Series Title |
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Abbreviated Series Title |
SLCV |
| Series Volume |
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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 |
HUPBA |
Approved |
no |
| Call Number |
Admin @ si @ WGE2023b |
Serial |
3956 |
| Permanent link to this record |
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| Author |
Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li |
| Title |
Best Solutions Proposed in the Context of the Face Anti-spoofing Challenge Series |
Type |
Book Chapter |
| Year |
2023 |
Publication |
Advances in Face Presentation Attack Detection |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
37–78 |
| Keywords |
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| Abstract |
The PAD competitions we organized attracted more than 835 teams from home and abroad, most of them from the industry, which shows that the topic of face anti-spoofing is closely related to daily life, and there is an urgent need for advanced algorithms to solve its application needs. Specifically, the Chalearn LAP multi-modal face anti-spoofing attack detection challenge attracted more than 300 teams for the development phase with a total of 13 teams qualifying for the final round; the Chalearn Face Anti-spoofing Attack Detection Challenge attracted 340 teams in the development stage, and finally, 11 and 8 teams have submitted their codes in the single-modal and multi-modal face anti-spoofing recognition challenges, respectively; the 3D High-Fidelity Mask Face Presentation Attack Detection Challenge attracted 195 teams for the development phase with a total of 18 teams qualifying for the final round. All the results were verified and re-run by the organizing team, and the results were used for the final ranking. In this chapter, we briefly the methods developed by the teams participating in each competition, and introduce the algorithm details of the top-three ranked teams in detail. |
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Series Title |
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Series Issue |
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Edition |
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ISBN |
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| Notes |
HUPBA |
Approved |
no |
| Call Number |
Admin @ si @ WGE2023d |
Serial |
3958 |
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| Author |
Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z Li |
| Title |
Face Anti-spoofing Progress Driven by Academic Challenges |
Type |
Book Chapter |
| Year |
2023 |
Publication |
Advances in Face Presentation Attack Detection |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
1–15 |
| Keywords |
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| Abstract |
With the ubiquity of facial authentication systems and the prevalence of security cameras around the world, the impact that facial presentation attack techniques may have is huge. However, research progress in this field has been slowed by a number of factors, including the lack of appropriate and realistic datasets, ethical and privacy issues that prevent the recording and distribution of facial images, the little attention that the community has given to potential ethnic biases among others. This chapter provides an overview of contributions derived from the organization of academic challenges in the context of face anti-spoofing detection. Specifically, we discuss the limitations of benchmarks and summarize our efforts in trying to boost research by the community via the participation in academic challenges |
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Series Title |
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Abbreviated Series Title |
SLCV |
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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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Conference |
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| Notes |
HUPBA |
Approved |
no |
| Call Number |
Admin @ si @ WGE2023c |
Serial |
3957 |
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| Author |
Beata Megyesi; Alicia Fornes; Nils Kopal; Benedek Lang |
| Title |
Historical Cryptology |
Type |
Book Chapter |
| Year |
2024 |
Publication |
Learning and Experiencing Cryptography with CrypTool and SageMath |
Abbreviated Journal |
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Issue |
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Pages |
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| Abstract |
Historical cryptology studies (original) encrypted manuscripts, often handwritten sources, produced in our history. These historical sources can be found in archives, often hidden without any indexing and therefore hard to locate. Once found they need to be digitized and turned into a machine-readable text format before they can be deciphered with computational methods. The focus of historical cryptology is not primarily the development of sophisticated algorithms for decipherment, but rather the entire process of analysis of the encrypted source from collection and digitization to transcription and decryption. The process also includes the interpretation and contextualization of the message set in its historical context. There are many challenges on the way, such as mistakes made by the scribe, errors made by the transcriber, damaged pages, handwriting styles that are difficult to interpret, historical languages from various time periods, and hidden underlying language of the message. Ciphertexts vary greatly in terms of their code system and symbol sets used with more or less distinguishable symbols. Ciphertexts can be embedded in clearly written text, or shorter or longer sequences of cleartext can be embedded in the ciphertext. The ciphers used mostly in historical times are substitutions (simple, homophonic, or polyphonic), with or without nomenclatures, encoded as digits or symbol sequences, with or without spaces. So the circumstances are different from those in modern cryptography which focuses on methods (algorithms) and their strengths and assumes that the algorithm is applied correctly. For both historical and modern cryptology, attack vectors outside the algorithm are applied like implementation flaws and side-channel attacks. In this chapter, we give an introduction to the field of historical cryptology and present an overview of how researchers today process historical encrypted sources. |
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DAG |
Approved |
no |
| Call Number |
Admin @ si @ MFK2024 |
Serial |
4020 |
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| Author |
Angel Sappa; Niki Aifanti; N. Grammalidis; Sotiris Malassiotis |
| Title |
Advances in Vision-Based Human Body Modeling |
Type |
Book Chapter |
| Year |
2004 |
Publication |
3D Modeling & Animation: Systhesis and Analysis Techniques for the Human Body |
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Pages |
1-26 |
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Editor |
N. Sarris and M. Strintzis. |
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Summary Language |
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Original Title |
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Edition |
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ISBN |
1-59140-299-9 |
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| Notes |
ADAS |
Approved |
no |
| Call Number |
ADAS @ adas @ SAG2004a |
Serial |
458 |
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| Author |
Ernest Valveny; Philippe Dosch |
| Title |
Performance Evaluation of Symbol Recognition |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Document Analysis Systems |
Abbreviated Journal |
LNCS |
| Volume |
3163 |
Issue |
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Pages |
354–365 |
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| Abstract |
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| Address |
Springer-Verlag |
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Editor |
S. Marinai, A. Dengel (Eds.), |
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Edition |
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ISBN |
3-540-23060-2 |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ VaD2004a |
Serial |
502 |
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| Author |
Debora Gil; Petia Radeva |
| Title |
Curvature Vector Flow to Assure Convergent Deformable Models for Shape Modelling |
Type |
Book Chapter |
| Year |
2003 |
Publication |
Energy Minimization Methods In Computer Vision And Pattern Recognition |
Abbreviated Journal |
LNCS |
| Volume |
2683 |
Issue |
|
Pages |
357-372 |
| Keywords |
Initial condition; Convex shape; Non convex analysis; Increase; Segmentation; Gradient; Standard; Standards; Concave shape; Flow models; Tracking; Edge detection; Curvature |
| Abstract |
Poor convergence to concave shapes is a main limitation of snakes as a standard segmentation and shape modelling technique. The gradient of the external energy of the snake represents a force that pushes the snake into concave regions, as its internal energy increases when new inexion points are created. In spite of the improvement of the external energy by the gradient vector ow technique, highly non convex shapes can not be obtained, yet. In the present paper, we develop a new external energy based on the geometry of the curve to be modelled. By tracking back the deformation of a curve that evolves by minimum curvature ow, we construct a distance map that encapsulates the natural way of adapting to non convex shapes. The gradient of this map, which we call curvature vector ow (CVF), is capable of attracting a snake towards any contour, whatever its geometry. Our experiments show that, any initial snake condition converges to the curve to be modelled in optimal time. |
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Springer, Berlin |
Place of Publication |
Lisbon, PORTUGAL |
Editor |
Springer, B. |
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Series Title |
Lecture Notes in Computer Science |
Abbreviated Series Title |
LNCS |
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Series Issue |
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Edition |
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| ISSN |
0302-9743 |
ISBN |
3-540-40498-8 |
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| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ GIR2003b |
Serial |
1535 |
| Permanent link to this record |
