Hubert P. H. Shum - Durham University
http://hubertshum.com
RECPAD 2020
Welcome do RECPAD 2020
RECPAD 2020
26th Portuguese Conference on Pattern Recognition
RECPAD is the annual Portuguese Conference on Pattern Recognition, sponsored by APRP (Portuguese Association for Pattern Recognition). It is a one-day conference with an invited keynote speaker and poster sessions along the day.
RECPAD 2020 is organized by University of Évora and will be held online on October 30th, 2020
Invited Speaker
Title
Machine Learning for Human Data Modelling and Analysis
Abstract
Taking advantage of the recent advancement in machine learning and the availability of big data, computers have become smarter than ever in understanding complicated data. In this talk, I will focus on the modelling and analysis of human data, which can be represented in formats such as images, video, 3D movement and surfaces. Such data is core to a wide spectrum of research fields including computer vision (e.g. action recognition, pose estimation, 3D reconstruction), computer graphics (e.g. character animation, crowd simulations) and biomedical engineering (e.g. diseases diagnosis, motion analysis). Modelling human data effectively is a challenging problem as it is high dimensional in nature and diverse in representations. I will talk about how machine learning techniques can be used to take on the challenge to come up with novel models that enable robust applications. In particular, I will discuss how state-of-the-art deep learning provides a powerful framework for large-scale human data modelling and analysis. Finally, I will share some insights into future research opportunities and interesting research directions in this area.
Biography
Dr Hubert P. H. Shum is an Associate Professor in Computer Science at Durham University. Before this, he worked as the Director of Research/Associate Professor/Senior Lecturer at Northumbria University, a Postdoctoral Researcher at RIKEN Japan, and a Research Assistant at the City University of Hong Kong. He received his PhD degree from the University of Edinburgh, his Master and Bachelor degrees from the City University of Hong Kong. He led funded research projects as the Principal Investigator awarded by EPSRC, the Ministry of Defence (DASA) and the Royal Society. This facilitated him to develop his research team and to collaborate with international researchers from the UK, China, France, Japan and India. To engage the academic and industry networks, he led his team hosting important conferences such as BMVC and ACM SIGGRAPH Conference on MIG. Contributing to the research community, he has served as an Associate Editor for Computer Graphics Forum, a Guest Editor for International Journal of Computer Vision, and a Program Committee member in 15 conferences such as CVPR, Eurographics, Pacific Graphics. He has published over 100 research papers in the fields of computer graphics, computer vision, motion analysis and machine learning, particularly focusing on the modelling of human-related data. More information can be found on http://hubertshum.com
Call for Papers
RECPAD aims to promote the collaboration between the Portuguese scientific community in the fields of Pattern Recognition, Image Analysis and Processing, Soft Computing, and related areas, including, but not limited to:
• Statistical, structural, syntactic pattern recognition;
• Neural networks, machine learning, data mining;
• Discrete geometry, algebraic, graph-based techniques for pattern recognition;
• Signal analysis, image coding and processing, shape and texture analysis;
• Computer vision, robotics, remote sensing;
• Document processing, text and graphics recognition, digital libraries;
• Speech recognition, music analysis, multimedia systems;
• Natural language analysis, information retrieval;
• Biometrics, biomedical pattern analysis and information systems;
• Special hardware architectures, software packages for pattern recognition.
Download the pdf version of the call for papers HERE.
Important Dates
• Submission deadline: September 11 September 25 (last deadline)
• Notification: October 2 October 9 October 13
• Camera ready/Registration deadline: October 9 October 16 October 19
• Poster submission: October 26
• RECPAD 2020: October 30
Submission
The papers should be submitted via EasyChair. The submission is done in four steps: set up an account with EasyChair, enter a paper title and abstract, and finally upload your paper. Please be sure to read the formatting instructions. Some common questions about submission can be sent via the contact email. Submitted papers should be prepared according to the published specification for formatting and style.
Submit an article to RecPad 2020 HERE.
Formatting your paper
The authors are invited to submit papers in PDF format with not more than two (2) pages including results, figures and references, according to the formatting style. Papers which are overlength will not be reviewed.
Typesetting for review
Papers must be formatted for blind review and according to the following templates:
• MS Word template HERE.
• LaTex template HERE.
Poster presentations
During the conference, there will be a Zoom Meeting for each poster, where the participants can interact with the authors. The posters will be available at the conference web page, so that all participants can “see” the posters before the poster session.
The authors of the papers selected for poster presentation should submit the poster in PDF format by October 26, using the form available at https://forms.gle/zhdWHEpbKG2xj5FbA. The posters should be in A1 or A0 portrait format.
Registration
The registration is made through the event management system of Universidade de Évora. The payment can be done by bank transfer or PayPal. To register, you must complete the following steps:
- Sign up in https://sge.uevora.pt/users/register (you will receive a confirmation email to finish your sign up);
- Log in in https://sge.uevora.pt and select the event “RECPAD 2020, 26th Portuguese Conference on Pattern Recognition”;
- On the right side of the page choose “Register” and then “Confirm registration”;
- Once your registration has been confirmed you will be shown the payment fees that apply;
- After the registration payment, select the “Confirm payment” option to upload your payment proof. (This step is not necessary if you use PayPal, since the registration is automatically validated).
Registrations fees
The registration fee is 20 euros and includes:
• Conference attendance;
• Certificate of attendance;
• Conference proceedings;
• Annual membership fee of APRP.
Registration deadline: October 16 October 19
Conference Program
09:00 Registration
09:15 Opening Ceremony
09:30 Poster Session I
10:30 Coffee Break
11:00 Keynote talk by Hubert Shum: “Machine Learning for Human Data Modelling and Analysis”
12:00 Poster Session II
13:00 Lunch Break
14:30 Oral Session
15:30 Poster Session III / APRP meeting
16:30 Coffee Break
17:00 Awards and Closing
The detailed program is available HERE.
The conference proceedings are available HERE.
Plenary sessions
For all plenary sessions (Opening Ceremony, Keynote Talk, Oral Session, Awards and Closing) there will be a unique Zoom session. The instructions to access this Zoom session are located in this page.
Poster sessions
For each poster there will be a dedicated zoom session where participants can “meet” and talk with the authors. Click on the Poster Session links to access the posters and the corresponding Zoom sessions.
Best poster and oral session poll
The instructions to vote for the best paper and oral presentations, are located in this page.
Committees
Organizing Committee
• Teresa Gonçalves, Universidade de Évora
• Luís Rato, Universidade de Évora
• Pedro Salgueiro, Universidade de Évora
• Miguel Barão, Universidade de Évora
• Eduardo Medeiros, Universidade de Évora
Scientific Committee
• Ana Filipa Sequeira, INESC TEC
• Ana Mendonça, Universidade do Porto (FEUP), INESC TEC
• Ana Rebelo, Universidade Portucalense, INESC TEC
• António Cunha, Universidade de Trás-os-Montes e Alto Douro, INESC TEC
• Armando Pinho, Universidade de Aveiro, IEETA
• Augusto Silva, Universidade de Aveiro, IEETA
• Beatriz Sousa-Santos, Universidade de Aveiro, IEETA
• Bernardete Ribeiro, Universidade de Coimbra, CISUC
• Carlos Ferreira, INESC TEC
• Catarina Silva, Universidade de Coimbra, CISUC
• César Teixeira, Universidade de Coimbra, CISUC
• Diogo Pratas, Universidade de Aveiro, IEETA
• Fernando Monteiro, Instituto Politécnico de Bragança
• Francesco Renna, Universidade do Porto (FCUP), Instituto de Telecomunicações
• Hélder P. Oliveira, Universidade do Porto (FCUP), INESC TEC
• Hugo Silva, Instituto de Telecomunicações
• Inês Domingues, Instituto Superior de Engenharia de Coimbra, Centro Investigação IPO
• Jaime Cardoso, Universidade do Porto (FEUP), INESC TEC
• Joana Costa, Instituto Politécnico de Leiria, CISUC
• João Carlos Neves, Instituto de Telecomunicações
• João Rodrigues, Universidade do Algarve
• João Sanches, Universidade de Lisboa (IST), ISR
• Joel P. Arrais, Universidade de Coimbra
• Jorge Marques, Universidade de Lisboa (IST), ISR
• Jorge Oliveira, Instituto de Telecomunicações
• Jorge Santos, ISEP
• Jorge Torres, Instituto de Telecomunicações
• José Saias, Universidade de Évora
• José Silva, Academia Militar
• Luís Alexandre, Universidade da Beira Interior
• Luis Rato, Universidade de Évora
• Luis Teixeira, Fraunhofer Portugal AICOS
• Mário Antunes, Instituto Politécnico de Leiria (ESTG), INESC TEC
• Mario Figueiredo, Universidade de Lisboa
• Miguel Barão, Universidade de Évora
• Miguel Coimbra, Universidade do Porto (FC)
• Nuno Rodrigues, Instituto Politécnico de Leiria (ESTG), Instituto de Telecomunicações
• Paulo Salgado, Universidade de Trás-os-Montes e Alto Douro
• Pedro Pina, Universidade de Lisboa
• Pedro Salgueiro, Universidade de Évora
• Petia Georgieva, Universidade de Aveiro
• Tania Pereira, INESC TEC
• Teresa Gonçalves, Universidade de Évora
• Thomas Gasche, Academia Militar
• Verónica Vasconcelos, Instituto Superior de Engenharia de Coimbra (IPC)