???global.info.a_carregar???
LUÍS MIGUEL SALGADO NUNES VILAÇA. Degree and Masters in Electrical and Computer Engineering, and currently attending the Ph.D., in the Faculty of Engineering of the University of Porto. Since quite early in his academic path, he developed a particular interest in the field of Computer Vision (CV) and Machine Learning (ML). Although these topics were not in the curricula, he challenged himself with projects related to Facial Detection and Recognition and was able to obtain a score of 18 and 20 (over 20) in his Bac. and MSc’ dissertations, respectively. He finished his MSc degree with an average score of 17 and was ranked in the top 10% of all students that finished their degree in the last three years. The experience obtained by working as a research assistant at INESC TEC, on several national and international projects, allowed him to strengthen his competencies as a goal-oriented person and to develop the skills to adapt to new challenging scenarios. During this period, he was involved in three different Multimedia-related projects, exploring emergent concepts and tools of CV and ML for different applications. His contributions to the European funded project FotoinMotion (Repurposing and enriching images for immersive video storytelling: 2018-2020) were crucial for the recognition as key innovation, for the use of computer vision and artificial intelligence approaches for content analysis and description for context-aware automatic content creation, awarded by the European Commission's innovation radar. His contributions were also described in a co-authored paper published in ACM MM 2020 (Core A*). Within the last six months, he was also involved in an online internship within the National Institute of Informatics (NII), allowing him to develop skills for ML in multimodal domains. From this experience, he enriched his work plan and was able to produce a paper, as first author, that systematizes and analyzes the SOTA of audio-visual correlation learning. This survey paper is currently under review in IJCAI 2022 (Core A*) survey track and was extremely important to consolidate his work plan. Additionally, he expects to continue collaborating with NII on more international challenges and experiences to expand his knowledge and awareness of his research field. During these last years, he was also engaged in the organization of workshops, co-supervision of master’s thesis, summer internships mentoring, and presentations of ongoing work for dissemination purposes or in project meetings. Besides the scientific aspects, his participation in these types of activities also enabled him to further develop his soft skills, from which he started to understand how to redirect information for reaching different audiences. Currently, as an invited assistant, he is teaching a class on Advanced Computational Systems in the School of Engineering of the Polytechnic of Porto. This experience is allowing him to strengthen and test his teaching skills, which are fundamental when learning new concepts or fields.
Identificação

Identificação pessoal

Nome completo
LUÍS MIGUEL SALGADO NUNES VILAÇA

Nomes de citação

  • Vilaça, Luis

Identificadores de autor

Ciência ID
EE13-C3D8-FF36

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Português (Idioma materno)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador independente (B2)
Formação
Grau Classificação
2021/10/04 - 2025/09/01
Em curso
Doctoral Program in Electrical and Computer Engineering (Doutoramento)
Universidade do Porto Faculdade de Engenharia, Portugal
2018/09/01 - 2021/07/09
Concluído
Electrical and Computer Engineering (Mestrado)
Especialização em Automation and Systems
Polytechnic of Porto - School of Engineering, Portugal
"Towards a Scalable Dataset Construction for Facial Recognition: A guided data selection approach for diversity stimulation" (TESE/DISSERTAÇÃO)
17
2013/09/01 - 2018/09/01
Concluído
Electrical and Computer Engineering (Licenciatura)
Polytechnic of Porto - School of Engineering, Portugal
"Facial Detection and Recognition" (TESE/DISSERTAÇÃO)
14
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento
Empregador
2018/10/01 - Atual Assistente de Investigação (carreira) (Investigação) INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento
Empregador
2022/03/01 - 2022/07/31 Assistente convidado (Docente Ensino Superior Politécnico) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal

Outros

Categoria Profissional
Instituição de acolhimento
Empregador
2021/09/14 - 2022/03/14 Internship National Institute of Informatics, Japão
Projetos

Bolsa

Designação Financiadores
2018/10/01 - 2020/12/31 CHIC: Cooperative Holistic view on Internet and Content
POCI-01-0247-FEDER-024498
Bolseiro de Investigação
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal
Em curso
2018/10/01 - 2020/12/31 FotoInMotion: Repurposing and enriching images for immersive video storytelling
H2020-ICT-20-2017-RIA-780612
Bolseiro de Investigação
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal
Em curso
2018/10/01 - 2018/12/31 TEC4Growth - RL FourEyes - Intelligence, Interaction, Immersion and Innovation for media industries
NORTE-01-0145-FEDER-000020
Bolseiro de Investigação
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal
Concluído
Produções

Publicações

Artigo em conferência
  1. Luís Vilaça; Yi Yu; Paula Viana. "Recent Advances and Challenges in Deep Audio-Visual Correlation Learning". Trabalho apresentado em International Joint Conference on Artificial Intelligence - IJCAI (Core A*), Vienna, 2022.
    Em revisão
  2. Teixeira, Inês N.; Viana, P.; Andrade, Maria Teresa; Carvalho, Pedro; Vilaça, Luis; Pinto, José Pedro; Costa, Tiago; Rapanakis, Stamatis; Jonker, Pieter P.. "Creating automatic storytelling videos from still images: a semantically-aware approach". Trabalho apresentado em ICPR 2020 : International Conference on Pattern Recognition 2020 (Core B), Milano, 2021.
  3. Viana, Paula; Carvalho, Pedro; Andrade, Maria Teresa; Jonker, Pieter P.; Teixeira, Inês N.; Vilaça, Luis; Pinto, José Pedro; Costa, Tiago. "From a Still Image to a Semantically Aware Video: A Context and Metadata-driven Automatic Media Production Framework". Trabalho apresentado em ACM SIGGRAPH European Conference on Visual Media Production, 2020.
  4. Viana, Paula; Carvalho, Pedro; Andrade, Maria Teresa; Jonker, Pieter P.; Papanikolaou, Vasileios; Teixeira, Inês N.; Vilaça, Luis; Pinto, José P.; Costa, Tiago. "Semantic Storytelling Automation: A Context-Aware and Metadata-Driven Approach". Trabalho apresentado em ACM International Conference on Multimedia (Core A*), 2020.
    10.1145/3394171.3416528
  5. Vilaça, Luís; Viana, Paula; Carvalho, Pedro; Andrade, Teresa. "Improving Audiovisual Content Annotation Through a Semi-automated Process Based on Deep Learning". Trabalho apresentado em Tenth International Conference on Soft Computing and Pattern Recognition (SoCPaR 2018), 2018.
    10.1007/978-3-030-17065-3_7
Artigo em revista
  1. Vilaça, Luis; Viana, Paula; Carvalho, Pedro; Andrade, Maria Teresa. "Facial Recognition using Guided Data Selection". IEEE Access (2022):
    Submetido
  2. Viana, Paula; Andrade, Maria Teresa; Carvalho, Pedro; Vilaça, Luis; Teixeira, Inês N.; Costa, Tiago; Jonker, Pieter. "Photo2Video: Semantic-Aware Deep Learning-Based Video Generation from Still Content". Journal of Imaging 8 3 (2022): 68. http://dx.doi.org/10.3390/jimaging8030068.
    Publicado • 10.3390/jimaging8030068
Relatório
  1. CHIC Consortium. 2020. E3.3. Protótipo do ecossistema e relatório de implementação do piloto.
  2. Viana, Paula; Andrade, Maria Teresa; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2020. FotoinMotion: Contextual Data and Annotation Framework for Representing Digital Events: Approach and Results v6.0.
  3. Andrade, Maria Teresa; Viana, Paula; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2020. FotoInMotion D2.4. Final set of contextual data generation and annotation tools.
  4. Viana, Paula; Andrade, Maria Teresa; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2020. FotoinMotion: Contextual Data and Annotation Framework for Representing Digital Events: Approach and Results v5.0.
  5. Andrade, Maria Teresa; Viana, Paula; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2020. FotoInMotion D2.3. Second set of contextual data generation and annotation tools.
  6. Viana, Paula; Andrade, Maria Teresa; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2020. FotoinMotion: Contextual Data and Annotation Framework for Representing Digital Events: Approach and Results v.4.0.
  7. Viana, Paula; Andrade, Maria Teresa; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2019. FotoinMotion: Contextual Data and Annotation Framework for Representing Digital Events: Approach and Results v3.0.
  8. Andrade, Maria Teresa; Viana, Paula; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2019. FotoInMotion D2.2. First set of contextual data generation and annotation tools.
  9. Viana, Paula; Andrade, Maria Teresa; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2019. FotoinMotion: Contextual Data and Annotation Framework for Representing Digital Events: Approach and Results v2.0.
  10. Andrade, Maria Teresa; Viana, Paula; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2019. FotoinMotion: Contextual Data and Annotation Framework for Representing Digital Events: Approach and Results v1.0.
  11. Vilaça, Luis; Viana, Paula; Carvalho, Pedro. 2019. CHIC/A3: Rui Moreira Detection Results.
  12. Andrade, Maria Teresa; Viana, Paula; Carvalho, Pedro; Teixeira, Inês N.; Vilaça, Luis; Costa, Tiago; Pinto, José Pedro. 2018. FotoInMotion D2.1: Functional specification of contextual data generation and annotation tools and digital event framework definition.
Tese / Dissertação
  1. Vilaça, Luis. "Towards a Scalable Dataset Construction for Facial Recognition: A guided data selection approach for diversity stimulation". Mestrado, Polytechnic of Porto - School of Engineering, 2020.
  2. Vilaça, Luis. "Facial Detection and Recognition". Licenciatura, Polytechnic of Porto - School of Engineering, 2018.

Outros

Outra produção
  1. Introduction to Python. Lab scrips intended for entry-level students for the Course of Advanced Computational Systems. 2018. Vilaça, Luis.
  2. Introduction to OpenCV. Lab scrips intended for entry-level students for the Course of Advanced Computational Systems. 2018. Vilaça, Luis.
Atividades

Orientação

Título / Tema
Papel desempenhado
Curso (Tipo)
Instituição / Organização
2019/09/30 - 2020/06/30 Automatic Emotion Identification: Facial Expressions Analysis and Detection in films
Coorientador
Master in Electrical and Computers Engineering (Mestrado)
Faculty of Engineering, University of Porto, Portugal

Organização de evento

Nome do evento
Tipo de evento (Tipo de participação)
Instituição / Organização
2022/03/31 - 2022/04/01 Machine/Deep Learning Workshop - Openday CTM (2022/03/31 - 2022/04/01)
Oficina (workshop) (Coorganizador)
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal
2019/05/15 - 2019/05/17 Machine/Deep Learning Workshop - Openday CTM (2019/05/15 - 2019/05/17)
Oficina (workshop) (Membro da Comissão Organizadora)
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, Portugal

Entrevista (jornal / revista)

Descrição da atividade Jornal / Forum
2021/01/21 Procurar um programa de tv sem saber o nome? Com esta ferramenta de IA portuguesa pode ser possível / Are you looking for a TV program and you don't know its name? With the AI based portuguese tool it is possible. Tek.sapo
2020/10/28 Projeto de Engenheiros Portugueses Distinguido pela Comissão Europeia / Portuguese Project Awarded by the European Commission Ordem dos Engenheiros Newsletter

Tutoria

Tópico Nome do aluno
2019/07/01 - 2019/08/01 Influence of the Diversity of Faces João Varela and Bruno Costa
Distinções

Prémio

2020 European Commission Innovation Radar
European Commission, Bélgica