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Identificação

Identificação pessoal

Nome completo
Hugo Pedro Proença

Nomes de citação

  • Proença, Hugo

Identificadores de autor

Ciência ID
ED16-81E7-0319
ORCID iD
0000-0003-2551-8570

Websites

Domínios de atuação

  • Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Hardware e Arquitetura de Computadores

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Espanhol; Castelhano Utilizador independente (B1) Utilizador independente (B1) Utilizador elementar (A1) Utilizador independente (B1)
Inglês Utilizador proficiente (C1) Utilizador proficiente (C1) Utilizador proficiente (C2) Utilizador proficiente (C2)
Formação
Grau Classificação
2015/01/05
Concluído
 Engenharia Informática (Título de Agregado)
Especialização em Sistemas Biométricos
Universidade da Beira Interior, Portugal
2004/09/01 - 2007/01/02
Concluído
 Engenharia Informática (Doutoramento)
Universidade da Beira Interior, Portugal
 Aprovação Unanimidade
2001/09/01 - 2004/01/02
Concluído
 Inteligência Artificial e Computação (Mestrado)
Universidade do Porto, Portugal
 Muito bom
2001/06/30
Concluído
 Matemática/Informática (Licenciatura)
Universidade da Beira Interior, Portugal
Percurso profissional

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento 		Empregador
2021/09/01 - Atual Professor Catedrático (Docente Universitário) Universidade da Beira Interior, Portugal
Universidade da Beira Interior, Portugal
2015/01/02 - 2021/08/30 Professor Associado (Docente Universitário) Universidade da Beira Interior, Portugal
2007 - 2020 Professor Auxiliar (Docente Universitário) Instituto de Telecomunicações, Portugal
2015 - 2018 Professor Associado (Docente Universitário) Universidade da Beira Interior, Portugal
2015 - 2018 Professor Associado (Docente Universitário) Universidade da Beira Interior, Portugal
2015 - 2018 Professor Associado (Docente Universitário) Universidade da Beira Interior, Portugal
2007/01/02 - 2015/01/01 Professor Auxiliar (Docente Universitário) Universidade da Beira Interior, Portugal
2013 - 2015 Professor Auxiliar (Docente Universitário) Universidade da Beira Interior, Portugal
2013 - 2015 Professor Auxiliar (Docente Universitário) Universidade da Beira Interior, Portugal
2013 - 2015 Professor Auxiliar (Docente Universitário) Universidade da Beira Interior, Portugal
2004/01/02 - 2007/01/01 Assistente (Docente Universitário) Universidade da Beira Interior, Portugal
2001/01/02 - 2004/01/01 Assistente Estagiário (Docente Universitário) Universidade da Beira Interior, Portugal

Cargos e Funções

Categoria Profissional
Instituição de acolhimento 		Empregador
2015 - 2018 Conselho científico/técnico-científico ou orgão correspondente Universidade da Beira Interior, Portugal
2015 - 2018 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade da Beira Interior, Portugal
2015 - 2018 Conselho científico/técnico-científico ou orgão correspondente Universidade da Beira Interior, Portugal
2015 - 2018 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade da Beira Interior, Portugal
2015 - 2018 Conselho científico/técnico-científico ou orgão correspondente Universidade da Beira Interior, Portugal
2015 - 2018 Coordenação ou direção de centro de investigação, departamento ou equivalente Universidade da Beira Interior, Portugal

Outros

Categoria Profissional
Instituição de acolhimento 		Empregador
2000/01/01 - 2001/01/01 Especialista de Informática - Estagiário Universidade da Beira Interior, Portugal
Projetos

Projeto

Designação Financiadores
2023/03/01 - 2025/06/30 Projeto Lusitano - Agenda Mobilizadora para a Inovação Empresarial da Indústria Têxtil e do Vestuário de Portugal
2022-C05i0101-02
Co-Investigador Responsável (Co-IR)
Universidade da Beira Interior, Portugal
 Governo da República Portuguesa
Em curso
2020/04/01 - 2023 Prevenção do Abandono e Promoção do Sucesso Escolar na Universidade da Beira Interior"
POCI-62-2019-01
Investigador
Universidade da Beira Interior, Portugal
Em curso
2020/04 - 2023 Prevenção do Abandono e Promoção do Sucesso Escolar na Universidade da Beira Interior"
POCI-62-2019-01
 N/A
2018/09/01 - 2020/08/30 BIODI: Biometria e Deteção de Incidentes
POCI-01-0247-FEDER-033395.
Investigador responsável
Instituto de Telecomunicações, Portugal
Em curso
2010/09/01 - 2013/08/31 NECOVID: Covert Negative Biometric Identification
PTDC/EIA-EIA/103945/2008
Investigador responsável
Instituto de Telecomunicações, Portugal
Concluído
2011/01/01 - 2012/12/31 Projecto Estratégico - LA 8 - 2011-2012
PEst-OE/EEI/LA0008/2011
Instituto de Telecomunicações Lisboa, Portugal
 Fundação para a Ciência e a Tecnologia
Concluído
Produções

Publicações

Artigo em conferência
  1. Brito, J.; Proenca, H.. "A deep adversarial framework for visually explainable periocular recognition". 2021.
    10.1109/CVPRW53098.2021.00161
  2. Eduardo Timóteo de Assunção; Pedro Dinis Gaspar; Ricardo Mesquita; André Veiros; H. Proença; Assunção, Eduardo Timóteo; Gaspar, Pedro Dinis; et al. "Resultados preliminares de deteção de imagens de pêssegos aplicando o método Faster R-CNN". Trabalho apresentado em II Simpósio Ibérico de Engenharia Hortícola, Viana do Castelo, 2020.
    Publicado
  3. Zanlorensi, L.A.; Proenca, H.; Menotti, D.. "Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization". 2020.
    10.1109/ICIP40778.2020.9191251
  4. Assuncao, E.; Diniz, C.; Gaspar, P.D.; Proenca, H.. "Decision-making support system for fruit diseases classification using Deep Learning". 2020.
    10.1109/DASA51403.2020.9317219
  5. Borza, D.; Yaghoubi, E.; Neves, J.; Proenca, H.. "All-in-one 'HairNet': A Deep Neural Model for Joint Hair Segmentation and Characterization". 2020.
    10.1109/IJCB48548.2020.9304904
  6. Degardin, B.; Proenca, H.. "Human activity analysis: Iterative weak/self-supervised learning frameworks for detecting abnormal events". 2020.
    10.1109/IJCB48548.2020.9304905
  7. Proenca, H.; Neves, J.C.. "Segmentation-less and non-holistic deep-learning frameworks for iris recognition". 2019.
    10.1109/CVPRW.2019.00283
  8. Proenca, H.; Neves, J.C.. "Biometric Recognition in Surveillance Environments Using Master-Slave Architectures". 2019.
    10.1109/SIBGRAPI.2018.00068
  9. Vera-Rodriguez, R.; Blazquez, M.; Morales, A.; Gonzalez-Sosa, E.; Neves, J.C.; Proenca, H.. "FaceGenderID: Exploiting gender information in DCNNs face recognition systems". 2019.
    10.1109/CVPRW.2019.00278
  10. Yaghoubi, E.; Alirezazadeh, P.; Assuncao, E.; Neves, J.C.; Proencaa, H.. "Region-based CNNs for pedestrian gender recognition in visual surveillance environments". 2019.
  11. Alirezazadeh, P.; Yaghoubi, E.; Assuncao, E.; Neves, J.C.; Proenca, H.. "Pose switch-based convolutional neural network for clothing analysis in visual surveillance environment". 2019.
  12. Neves, J.; Proenca, H.. "Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting from in the Wild Environments". 2017.
    10.1109/FG.2017.122
  13. Proença, H.; Neves, J.C.. "IRINA: Iris recognition (even) in inaccurately segmented data". 2017.
    10.1109/CVPR.2017.714
  14. Proença, H.M.; Vieira, S.M.; Kaymak, U.; Almeida, R.J.; Sousa, J.M.C.. "Optimizing probabilistic fuzzy systems for classification using metaheuristics". 2016.
    10.1109/FUZZ-IEEE.2016.7737886
  15. Castrillón-Santana, M.; De Marsico, M.; Nappi, M.; Narducci, F.; Proença, H.. "Mobile Iris CHallenge Evaluation II: Results from the ICPR competition". 2016.
    10.1109/ICPR.2016.7899624
  16. Neves, J.; Proenca, H.. "ICB-RW 2016: International challenge on biometric recognition in the wild". 2016.
    10.1109/ICB.2016.7550066
  17. Neves, J.C.; Moreno, J.C.; Barra, S.; Proença, H.. "Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm". 2015.
    10.1109/BTAS.2015.7358744
  18. Neves, J.C.; Proença, H.. "Dynamic camera scheduling for visual surveillance in crowded scenes using Markov random fields". 2015.
    10.1109/AVSS.2015.7301790
  19. Proenca, H.; Neves, J.C.; Santos, G.. "Segmenting the periocular region using a hierarchical graphical model fed by texture / shape information and geometrical constraints". 2014.
    10.1109/BTAS.2014.6996228
  20. Pereira, M.; Moreno, J.-C.; Proença, H.; Pinheiro, A.M.G.. "Automatic face recognition in HDR imaging". 2014.
    10.1117/12.2054539
  21. Barroso, E.; Santos, G.; Proenca, H.. "Facial expressions: Discriminability of facial regions and relationship to biometrics recognition". 2013.
    10.1109/CIBIM.2013.6607918
  22. Proenca, H.; Neves, J.C.. "Creating synthetic IrisCodes to feed biometrics experiments". 2013.
    10.1109/BIOMS.2013.6656141
  23. Moreno, J.C.; Surya Prasath, V.B.; Proença, H.. "Robust periocular recognition by fusing local to holistic sparse representations". 2013.
    10.1145/2523514.2523540
  24. Santos, G.; Proenca, H.. "Periocular biometrics: An emerging technology for unconstrained scenarios". 2013.
    10.1109/CIBIM.2013.6607908
Artigo em revista
  1. "Image-based human re-identification: Which covariates are actually (the most) important?". Image and Vision Computing 143 0 (2024): 104917-104917. http://www.it.pt/Publications/PaperJournal/34123.
    10.1016/j.imavis.2024.104917
  2. "A novel and secured email classification and emotion detection using hybrid deep neural network". international journal of cognitive computing in engineering 5 0 (2024): 44-57. http://www.it.pt/Publications/PaperJournal/34124.
    10.1016/j.ijcce.2024.01.002
  3. Jan Nicklas Kolf; Jurek Elliesen; Fadi Boutros; H. Proença; Naser Damer. "SyPer: Synthetic periocular data for quantized light-weight recognition in the NIR and visible domains". Image and Vision Computing 135 9 (2023): 104692-104692. http://www.it.pt/Publications/PaperJournal/33727.
    10.1016/j.imavis.2023.104692
  4. Bruno Manuel Degardin; Vasco Ferrinho Lopes; H. Proença. "ATOM: Self-supervised human action recognition using atomic motion representation learning". Image and Vision Computing 137 0 (2023): 104750-104750. http://www.it.pt/Publications/PaperJournal/33796.
    10.1016/j.imavis.2023.104750
  5. Diana Laura Borza; Ehsan Yaghoubi; Simone Frintrop; Hugo Proença. "Adaptive Spatial Transformation Networks for Periocular Recognition". Sensors (2023): https://doi.org/10.3390/s23052456.
    10.3390/s23052456
  6. H. Proença; David Menotti; Afonso Paiva; Gladimir Baranoski. "Conference on graphics, patterns and images". Pattern Recognition Letters 166 0 (2023): 172-173. http://www.it.pt/Publications/PaperJournal/33596.
    10.1016/j.patrec.2022.12.002
  7. Lucia Cascone; Chiara Pero; H. Proença. "Visual and textual explainability for a biometric verification system based on piecewise facial attribute analysis". Image and Vision Computing 132 0 (2023): 104645-104645. http://www.it.pt/Publications/PaperJournal/33606.
    10.1016/j.imavis.2023.104645
  8. Kailash A. Hambarde; Hugo Proença. "Information Retrieval: Recent Advances and Beyond". IEEE Access (2023): https://doi.org/10.1109/ACCESS.2023.3295776.
    10.1109/ACCESS.2023.3295776
  9. Eduardo Timóteo Assunção; Pedro D. Gaspar; Ricardo Mesquita; Maria P. Simões; Khadijeh Alibabaei; André Veiros; H. Proença. "Real-Time Weed Control Application Using a Jetson Nano Edge Device and a Spray Mechanism". Remote Sensing 14 17 (2022): 4217-4217. http://www.it.pt/Publications/PaperJournal/33330.
    10.3390/rs14174217
  10. S. V. Aruna Kumar; Ehsan Yaghoubi; Hugo Proença. "A Fuzzy Consensus Clustering Algorithm for MRI Brain Tissue Segmentation". Applied Sciences (2022): https://doi.org/10.3390/app12157385.
    10.3390/app12157385
  11. Eduardo T. Assunção; Pedro D. Gaspar; Ricardo J. M. Mesquita; Maria P. Simões; António Ramos; Hugo Proença; Pedro R. M. Inacio. "Peaches Detection Using a Deep Learning Technique—A Contribution to Yield Estimation, Resources Management, and Circular Economy". Climate (2022): https://doi.org/10.3390/cli10020011.
    10.3390/cli10020011
  12. Joana Cabral Costa; Tiago Roxo; Joao B. F. Sequeiros; Hugo Proenca; Pedro R. M. Inacio. "Predicting CVSS Metric via Description Interpretation". IEEE Access 10 (2022): 59125-59134. https://doi.org/10.1109/ACCESS.2022.3179692.
    10.1109/ACCESS.2022.3179692
  13. Tiago Roxo; Hugo Proenca. "YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition". IEEE Access 10 (2022): 28122-28132. https://doi.org/10.1109/ACCESS.2022.3157857.
    10.1109/ACCESS.2022.3157857
  14. Hugo Proenca. "DeepGabor: A Learning-Based Framework to Augment IrisCodes Permanence". IEEE Transactions on Information Forensics and Security (2022): https://doi.org/10.1109/TIFS.2022.3214098.
    10.1109/TIFS.2022.3214098
  15. Assunção, Eduardo; Gaspar, Pedro Dinis; Alibabaei, Khadijeh; Simões, M.P.; Proença, Hugo; Soares, Vasco N. G. J.; Caldeira, João M. L. P.; et al. "Real-time image detection for edge devices: a peach fruit detection application". Future Internet (2022): http://hdl.handle.net/10400.11/8159.
    10.3390/fi14110323
  16. Kumar, S. V. Aruna; Yaghoubi, Ehsan; Proenca, Hugo. "A Fuzzy Consensus Clustering Algorithm for MRI Brain Tissue Segmentation". Preprints.org (2022): https://publons.com/wos-op/publon/62265486/.
    10.20944/PREPRINTS202204.0244.V1
  17. Yaghoubi; Bruno Manuel Degardin; Diana Borza; H. Proença. "You look so different! Haven’t I seen you a long time ago?". Image and Vision Computing 115 1 (2021): 104288-104288. http://www.it.pt/Publications/PaperJournal/31704.
    10.1016/j.imavis.2021.104288
  18. Tiago Roxo; Hugo Proenca. "Is Gender “In-the-Wild” Inference Really a Solved Problem?". IEEE Transactions on Biometrics, Behavior, and Identity Science 3 4 (2021): 573-582. https://doi.org/10.1109/TBIOM.2021.3100926.
    10.1109/TBIOM.2021.3100926
  19. Bruno Manuel Degardin; H. Proença. "Human Behavior Analysis: A Survey on Action Recognition". Applied Sciences (Switzerland) 11 18 (2021): 8324-8324. http://www.it.pt/Publications/PaperJournal/31696.
    10.3390/app11188324
  20. João Brito; Hugo Proença. "A Short Survey on Machine Learning Explainability: An Application to Periocular Recognition". Electronics 10 15 (2021): 1861-1861. https://doi.org/10.3390/electronics10151861.
    10.3390/electronics10151861
  21. Yaghoubi; Diana Borza; Aruna Kumar; H. Proença. "Person re-identification: Implicitly defining the receptive fields of deep learning classification frameworks". Pattern Recognition Letters 145 0 (2021): 23-29. http://www.it.pt/Publications/PaperJournal/30460.
    10.1016/j.patrec.2021.01.035.
  22. Maria de Marsico; H. Proença; Sambit Bakshi; Abhijit Das. "Editorial to special issue on novel insights on ocular biometrics". Image and Vision Computing 1 1 (2021): 104227-104227. http://www.it.pt/Publications/PaperJournal/30586.
    10.1016/j.imavis.2021.104227
  23. H. Proença. "The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage". IEEE Transactions on Circuits and Systems for Video Technology 0 0 (2021): 1-14. http://www.it.pt/Publications/PaperJournal/30495.
    10.1109/TCSVT.2021.3066054
  24. Bruno Manuel Degardin; H. Proença. "Iterative Weak/Self-Supervised Classification Framework for Abnormal Events Detection". Pattern Recognition Letters 145 0 (2021): 50-57. http://www.it.pt/Publications/PaperJournal/30459.
    10.1016/j.patrec.2021.01.031
  25. Yaghoubi; Aruna Kumar; H. Proença. "SSS-PR: A Short Survey of Surveys in Person Re-identification". Pattern Recognition Letters 143 0 (2021): 50-57. http://www.it.pt/Publications/PaperJournal/30419.
    10.1016/j.patrec.2020.12.017
  26. Hugo Proenca; Ehsan Yaghoubi; Pendar Alirezazadeh. "A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-Output Classification Problems". IEEE Transactions on Information Forensics and Security 16 (2021): 800-811. https://doi.org/10.1109/TIFS.2020.3023304.
    10.1109/TIFS.2020.3023304
  27. Yaghoubi, E.; Borza, D.; Aruna Kumar, S.V.; Proença, H.. "Person re-identification: Implicitly defining the receptive fields of deep learning classification frameworks". Pattern Recognition Letters 145 (2021): 23-29. http://www.scopus.com/inward/record.url?eid=2-s2.0-85100639585&partnerID=MN8TOARS.
    10.1016/j.patrec.2021.01.035
  28. Bruno Degardin; Vasco Lopes; Hugo Proenca. "REGINA—Reasoning Graph Convolutional Networks in Human Action Recognition". IEEE Transactions on Information Forensics and Security (2021): https://doi.org/10.1109/TIFS.2021.3130437.
    10.1109/TIFS.2021.3130437
  29. Aruna Kumar; Yaghoubi; Abhijit Das; B.S. Harish; H. Proença. "The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking and Short/Long-term Re-Identification from Aerial Devices". IEEE Transactions on Information Forensics and Security 0 0 (2020): 1-1. http://www.it.pt/Publications/PaperJournal/30359.
    10.1109/TIFS.2020.3040881
  30. Yaghoubi; Farhad Khezeli; Diana Borza; Aruna Kumar; João Carlos Raposo Neves; H. Proença. "Human Attribute Recognition— A Comprehensive Survey". Applied Sciences (Switzerland) 10 16 (2020): 5608-5608. http://www.it.pt/Publications/PaperJournal/30111.
    10.3390/app10165608
  31. Yaghoubi; Diana Borza; João Carlos Raposo Neves; Aruna Kumar; H. Proença. "An attention-based deep learning model for multiple pedestrian attributes recognition". Image and Vision Computing 0 0 (2020): 103981-103981. http://www.it.pt/Publications/PaperJournal/30092.
    10.1016/j.imavis.2020.103981
  32. João C. Neves; Ruben Tolosana; Ruben Vera-Rodriguez; Vasco Ferrinho Lopes; H. Proença; Julian Fierrez. "GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection". IEEE Journal on Selected Topics in Signal Processing 0 0 (2020): 1-9. http://www.it.pt/Publications/PaperJournal/30069.
    10.1109/JSTSP.2020.3007250
  33. Manuel J.Marin-Jimenez; Aythami Morales; Julian Fierrez; Antonio Pertusa; H. Proença; Jose Salvador Sanchez. "Editorial for special section at Pattern Recognition Letters - IbPRIA 2019". Pattern Recognition Letters 133 0 (2020): 365-365. http://www.it.pt/Publications/PaperJournal/30019.
    10.1016/j.patrec.2020.03.024
  34. Luiz A. Zanlorensi; Diego R. Lucio; Alceu S. Britto Jr; H. Proença; David Menotti. "Deep representations for cross-spectral ocular biometrics". IET Biometrics 0 0 (2019): 1-15. http://www.it.pt/Publications/PaperJournal/29749.
    10.1049/iet-bmt.2019.0116
  35. H. Proença; Sambit Bakshi,; Guodong Guo; Massimo Tistarelli. "IEEE Access Special Section Editorial: Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities". IEEE Access 7 1 (2019): 137638-137641.
    10.1109/ACCESS.2019.2940175
  36. Proenca, Hugo; Neves, Joao C.. "A Reminiscence of “Mastermind”: Iris/Periocular Biometrics by “In-Set” CNN Iterative Analysis". IEEE Transactions on Information Forensics and Security 14 7 (2019): 1702-1712. http://dx.doi.org/10.1109/tifs.2018.2883853.
    10.1109/tifs.2018.2883853
  37. Hugo Proenca; Joao C. Neves. "A Reminiscence of “Mastermind”: Iris/Periocular Biometrics by “In-Set” CNN Iterative Analysis". IEEE Transactions on Information Forensics and Security (2019): 1-1. https://doi.org/10.1109/TIFS.2018.2883853.
    10.1109/TIFS.2018.2883853
  38. Neves, Joao; Proenca, Hugo. "“A Leopard Cannot Change Its Spots”: Improving Face Recognition Using 3D-Based Caricatures". IEEE Transactions on Information Forensics and Security 14 1 (2019): 151-161. http://dx.doi.org/10.1109/tifs.2018.2846617.
    10.1109/tifs.2018.2846617
  39. Joao Neves; Hugo Proenca. "“A Leopard Cannot Change Its Spots”: Improving Face Recognition Using 3D-Based Caricatures". IEEE Transactions on Information Forensics and Security 14 1 (2019): 151-161. https://doi.org/10.1109/TIFS.2018.2846617.
    10.1109/TIFS.2018.2846617
  40. Bakshi, Sambit; Guo, Guodong; Proenca, Hugo; Tistarelli, Massimo. "IEEE Access Special Section Editorial: Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities". IEEE Access 7 (2019): 137638-137641. http://dx.doi.org/10.1109/access.2019.2940175.
    10.1109/access.2019.2940175
  41. H. Proença; Mark S. Nixon; Michele Nappi. "IEEE Intelligent Systems: Trends and Controversies". IEEE Intelligent Systems 33 3 (2018): 41-67. http://www.it.pt/Publications/PaperJournal/20129.
    10.1109/MIS.2018.033001416
  42. Zahid Akhtar; Gautam Kumar; Sambit Bakshi; H. Proença. "Experiments with Ocular Biometric Datasets: A Practitioner’s Guideline". IT Professional 20 3 (2018): 50-63. http://www.it.pt/Publications/PaperJournal/27921.
    10.1109/MITP.2018.032501748
  43. Proenca, Hugo; Neves, Joao C.. "Deep-PRWIS: Periocular Recognition Without the Iris and Sclera Using Deep Learning Frameworks". IEEE Transactions on Information Forensics and Security 13 4 (2018): 888-896. http://dx.doi.org/10.1109/tifs.2017.2771230.
    10.1109/tifs.2017.2771230
  44. Hugo Proenca; Joao C. Neves. "Deep-PRWIS: Periocular Recognition Without the Iris and Sclera Using Deep Learning Frameworks". IEEE Transactions on Information Forensics and Security 13 4 (2018): 888-896. https://doi.org/10.1109/TIFS.2017.2771230.
    10.1109/TIFS.2017.2771230
  45. João Carlos Raposo Neves; Juan Carlos Moreno; H. Proença. "QUIS-CAMPI: An Annotated Multi-biometrics Data Feed From Surveillance Scenarios". IET Biometrics 0 0 (2017): 1-20. http://www.it.pt/Publications/PaperJournal/21615.
    10.1049/iet-bmt.2016.0178
  46. Maria de Marsico; Michele Nappi; Fabio Narducci; H. Proença. "Insights into the results of MICHE I - Mobile Iris CHallenge Evaluation". Pattern Recognition 0 0 (2017): 1-31. http://www.it.pt/Publications/PaperJournal/21564.
    10.1016/j.patcog.2017.08.028
  47. Hugo Proenca; Joao C. Neves. "Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs". IEEE Transactions on Information Forensics and Security (2017): 1-1. https://doi.org/10.1109%2Ftifs.2017.2680246.
    10.1109/TIFS.2017.2680246
  48. H. Proença; João Carlos Raposo Neves. "Fusing Vantage Point Trees and Linear Discriminants for Fast Feature Classification". Journal of Classification 0 0 (2017): 1-23. http://www.it.pt/Publications/PaperJournal/20353.
    10.1007/s00357-017-9223-0
  49. De Marsico, M.; Nappi, M.; Proença, H.. "“Mobile Iris CHallenge Evaluation part II (MICHE II)”". Pattern Recognition Letters 91 (2017): 1-2. http://www.scopus.com/inward/record.url?eid=2-s2.0-85017361889&partnerID=MN8TOARS.
    10.1016/j.patrec.2017.04.006
  50. Hugo Proenca; Joao C. Neves; Silvio Barra; Tiago Marques; Juan C. Moreno. "Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild". IEEE Transactions on Pattern Analysis and Machine Intelligence 38 12 (2016): 2444-2456. https://doi.org/10.1109/TPAMI.2016.2522441.
    10.1109/TPAMI.2016.2522441
  51. Maria de Marsico; Michele Nappi; H. Proença. "Results from MICHE II - Mobile Iris CHallenge Evaluation II". Pattern Recognition Letters 000 0 (2016): 1-8. http://www.it.pt/Publications/PaperJournal/20297.
    10.1016/j.patrec.2016.12.013
  52. Hugo Proença; João C. Neves. "Visible-wavelength iris/periocular imaging and recognition surveillance environments". Image and Vision Computing 55 (2016): 22-25. https://doi.org/10.1016/j.imavis.2016.03.015.
    10.1016/j.imavis.2016.03.015
  53. H. Proença; João Carlos Raposo Neves. "Biometric Recognition in Surveillance Scenarios: A Survey". Artificial Intelligence Review 0 0 (2016): 1-27. http://www.it.pt/Publications/PaperJournal/18991.
    10.1007/s10462-016-9474-x
  54. João Carlos Raposo Neves; Juan Carlos Moreno; H. Proença. "A Master-slave Calibration Algorithm with Fish-eye Correction". Mathematical Problems in Engineering 0 0 (2015): 1-8. http://www.it.pt/Publications/PaperJournal/17536.
    10.1155/2015/427270
  55. H. Proença; Juan Carlos Moreno; V. B. Surya Prasath; Gil Melfe Mateus Santos. "Robust periocular recognition by fusing sparse representations of color and geometry information". Journal of Signal Processing Systems 0 0 (2015): 0-0. http://www.it.pt/Publications/PaperJournal/13488.
    10.1007/s11265-015-1023-3
  56. Elisa Barroso; Gil Santos; Luís Cardoso; Chandrashekhar Padole; H. Proença. "Periocular recognition: how much facial expressions affect performance?". Pattern Analysis and Applications 19 2 (2015): 517-530. http://www.it.pt/Publications/PaperJournal/10473.
    10.1007/s10044-015-0493-z
  57. Chandrashekhar Padole; H. Proença. "Aperiodic Feature Representation for Gait Recognition in Cross-view Scenarios for Unconstrained Biometrics". Pattern Analysis and Applications 20 1 (2015): 73-86. http://www.it.pt/Publications/PaperJournal/10249.
    10.1007/s10044-015-0468-0
  58. Gil Santos; Paulo Fiadeiro; H. Proença. "BioHDD: A Dataset for Studying Biometric Identification on Heavily Degraded Data". IET Biometrics 4 1 (2015): 1-9. http://www.it.pt/Publications/PaperJournal/9712.
    10.1049/iet-bmt.2014.0045
  59. Proença, Hugo. "Iris Recognition: What Is Beyond Bit Fragility?". IEEE Transactions on Information Forensics and Security (2015):
    10.1109/TIFS.2014.2371691
  60. Marsico, M.D.; Nappi, M.; Proença, H.. "Guest editorial introduction to the special executable issue on "Mobile Iris Challenge Evaluation part i (MICHE I)"". Pattern Recognition Letters 57 (2015): 1-3. http://www.scopus.com/inward/record.url?eid=2-s2.0-84928228606&partnerID=MN8TOARS.
    10.1016/j.patrec.2015.04.001
  61. Proença, Hugo. "Ocular Biometrics by Score-Level Fusion of Disparate Experts". IEEE Transactions on Image Processing (2014):
    10.1109/TIP.2014.2361285
  62. Juan Carlos Moreno; V. B. Surya Prasath; H. Proença; K. Palaniappan. "Fast and globally convex multiphase active contours for brain MRI segmentation". Computer Vision and Image Understanding 125 0 (2014): 237-250. http://www.it.pt/Publications/PaperJournal/9273.
    10.1016/j.cviu.2014.04.010
  63. H. Proença; João C. Neves; Juan Carlos Moreno. "Face Recognition: Handling Data Misalignments Implicitly by Fusion of Sparse Representations". IET Computer Vision 0 0 (2014): 1-10. http://www.it.pt/Publications/PaperJournal/9329.
    10.1049/iet-cvi.2014.0039
  64. João C. Neves; Helena Castro; Ana Tomás; Miguel Coimbra; H. Proença. "Detection and Separation of Overlapping Cells Based on Contour Concavity for Leishmania images". Cytometry Part A 0 0 (2014): 1-10. http://www.it.pt/Publications/PaperJournal/9209.
    10.1002/cyto.a.22465
  65. H. Proença. "ReigSAC: Fast Discrimination of Spurious Keypoint Correspondences on Planar Surfaces". Machine Vision and Applications 25 3 (2014): 763-773. http://www.it.pt/Publications/PaperJournal/8856.
    10.1007/s00138-014-0593-6
  66. H. Proença. "Iris Biometrics: Indexing and Retrieving Heavily Degraded Data,". IEEE Trans. on Information Forensics and Security 8 2 (2013): 1975-1985. http://www.it.pt/Publications/PaperJournal/8854.
    10.1109/TIFS.2013.2283458
  67. H. Proença; Juan Carlos Moreno. "Periocular Biometrics: Constraining the EGM Algorithm to Biologically Plausible". IET Biometrics 3 4 (2013): 167-175. http://www.it.pt/Publications/PaperJournal/8434.
    10.1049/iet-bmt.2013.0039
  68. Neves, J.C.; Castro, H.; Proença, H.; Coimbra, M.. "Automatic annotation of Leishmania infections in fluorescence microscopy images". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7950 LNCS (2013): 613-620. http://www.scopus.com/inward/record.url?eid=2-s2.0-84884489198&partnerID=MN8TOARS.
    10.1007/978-3-642-39094-4_70
  69. Padole, C.N.; Proença, H.. "Compensating for pose and illumination in unconstrained periocular biometrics". International Journal of Biometrics 5 3-4 (2013): 336-359. http://www.scopus.com/inward/record.url?eid=2-s2.0-84883401729&partnerID=MN8TOARS.
    10.1504/IJBM.2013.055971
  70. Proença, H.. "Performance evaluation of keypoint detection and matching techniques on grayscale data". Signal, Image and Video Processing (2013): 1-11. http://www.scopus.com/inward/record.url?eid=2-s2.0-84880783031&partnerID=MN8TOARS.
    10.1007/s11760-013-0535-1
  71. Cardoso, L.; Barbosa, A.; Silva, F.; Pinheiro, A.M.G.; Proenca, H.. "Iris biometrics: Synthesis of degraded ocular images". IEEE Transactions on Information Forensics and Security 8 7 (2013): 1115-1125. http://www.scopus.com/inward/record.url?eid=2-s2.0-84878823760&partnerID=MN8TOARS.
    10.1109/TIFS.2013.2262942
  72. H. Proença; Luís Alexandre. "Introduction to the special issue on the Recognition of visible wavelength iris images captured at-a-distance and on-the-move". Pattern Recognition Letters 28 2 (2012): 963-964. http://www.it.pt/Publications/PaperJournal/6590.
    10.1016/j.patrec.2012.03.003
  73. Proença, Hugo. "Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests". (2012):
    10.1109/TIFS.2011.2177659
  74. Komogortsev, O.V.; Karpov, A.; Holland, C.D.; Proenca, H.P.. "Multimodal ocular biometrics approach: A feasibility study". 2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012 (2012): 209-216. http://www.scopus.com/inward/record.url?eid=2-s2.0-84871990167&partnerID=MN8TOARS.
    10.1109/BTAS.2012.6374579
  75. H. Proença; Gil Santos. "Fusing Color and Shape Descriptors in the Recognition of Degraded Iris Images Acquired at Visible Wavelength". Computer Vision and Image Understanding 116 0 (2011): 167-178. http://www.it.pt/Publications/PaperJournal/5972.
    10.1016/j.cviu.2011.10.008
  76. Proença, Hugo. "Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength". (2011):
    10.1109/TIFS.2010.2086446
  77. Proença, H.; Du, E.Y.; Scharcanski, J.. "Introduction to the special issue on unconstrained biometrics: Advances and trends". Signal, Image and Video Processing 5 4 (2011): 399-400. http://www.scopus.com/inward/record.url?eid=2-s2.0-80255141903&partnerID=MN8TOARS.
    10.1007/s11760-011-0243-7
  78. Proença, H.. "Non-cooperative iris recognition: Issues and trends". European Signal Processing Conference (2011): 2259-2263. http://www.scopus.com/inward/record.url?eid=2-s2.0-84863743036&partnerID=MN8TOARS.
  79. Proença, Hugo. "The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance". (2010):
    10.1109/TPAMI.2009.66
  80. Proença, H.; Alexandre, L.A.. "Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage". Image and Vision Computing 28 1 (2010): 202-206. http://www.scopus.com/inward/record.url?eid=2-s2.0-70449523666&partnerID=MN8TOARS.
    10.1016/j.imavis.2009.03.003
  81. Proença, H.. "Iris recognition: On the segmentation of degraded images acquired in the visible wavelength". IEEE Transactions on Pattern Analysis and Machine Intelligence 32 8 (2010): 1502-1516. http://www.scopus.com/inward/record.url?eid=2-s2.0-77953810940&partnerID=MN8TOARS.
    10.1109/TPAMI.2009.140
  82. Proença, H.; Alexandre, L.A.. "Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move". Image and Vision Computing 28 2 (2010): 213-214. http://www.scopus.com/inward/record.url?eid=2-s2.0-70449639689&partnerID=MN8TOARS.
    10.1016/j.imavis.2009.09.004
  83. Proença, H.; Carvalho, N.B.. "Cross-polarization interference cancelation (XPIC) performance in presence of non-linear effects". 2010 Workshop on Integrated Nonlinear Microwave and Millimetre-Wave Circuits, INMMiC 2010 - Conference Proceedings (2010): 93-96. http://www.scopus.com/inward/record.url?eid=2-s2.0-77954804778&partnerID=MN8TOARS.
    10.1109/INMMIC.2010.5480127
  84. Proença, Hugo. "Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength". IEEE Trans. on Pattern Analysis and Machine Intelligence (2009): http://www.it.pt/Publications/PaperJournal/3940.
  85. H. Proença. "An Iris Recognition Approach Through Structural Pattern Analysis Methods". Expert Systems 0 0 (2009): 0-0. http://www.it.pt/Publications/PaperJournal/3943.
    10.1111/j.1468-0394.2009.00534.x
  86. Santos, G.; Proença, H.. "On the role of interpolation in the normalization of non-ideal visible wavelength iris images". CIS 2009 - 2009 International Conference on Computational Intelligence and Security 1 (2009): 315-319. http://www.scopus.com/inward/record.url?eid=2-s2.0-77949294141&partnerID=MN8TOARS.
    10.1109/CIS.2009.113
  87. Proença, H.. "Biometric recognition: When is evidence fusion advantageous?". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5876 LNCS PART 2 (2009): 698-708. http://www.scopus.com/inward/record.url?eid=2-s2.0-72449132933&partnerID=MN8TOARS.
    10.1007/978-3-642-10520-3_66
  88. Proença, H.; Alexandre, L.A.. "Iris recognition: A method to increase the robustness to noisy imaging environments through the selection of the higher discriminating features". Proceedings - International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 2007 3 (2008): 301-307. http://www.scopus.com/inward/record.url?eid=2-s2.0-41149172644&partnerID=MN8TOARS.
    10.1109/ICCIMA.2007.266
  89. Proença, H.. "Iris recognition: A method to segment visible wavelength iris images acquired on-the-move and at-a-distance". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5358 LNCS PART 1 (2008): 731-742. http://www.scopus.com/inward/record.url?eid=2-s2.0-68649095149&partnerID=MN8TOARS.
    10.1007/978-3-540-89639-5_70
  90. Proença, Hugo. "Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures". (2007):
    10.1109/TPAMI.2007.1016
  91. Proença, H.; Alexandre, L.A.. "Iris recognition: An entropy-based coding strategy robust to noisy imaging environments". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 4841 LNCS PART 1 (2007): 621-632. http://www.scopus.com/inward/record.url?eid=2-s2.0-38149040203&partnerID=MN8TOARS.
    10.1007/978-3-540-76858-6_60
  92. Proença, H.. "A structural pattern analysis approach to Iris recognition". Advances in Soft Computing 45 (2007): 731-738. http://www.scopus.com/inward/record.url?eid=2-s2.0-61349091721&partnerID=MN8TOARS.
    10.1007/978-3-540-75175-5_90
  93. Proença, H.; Alexandre, L.A.. "A method for the identification of inaccuracies in pupil segmentation". Proceedings - First International Conference on Availability, Reliability and Security, ARES 2006 2006 (2006): 224-228. http://www.scopus.com/inward/record.url?eid=2-s2.0-33750935111&partnerID=MN8TOARS.
    10.1109/ARES.2006.9
  94. Proença, H.; Alexandre, L.A.. "Iris segmentation methodology for non-cooperative recognition". IEE Proceedings: Vision, Image and Signal Processing 153 2 (2006): 199-205. http://www.scopus.com/inward/record.url?eid=2-s2.0-33645015562&partnerID=MN8TOARS.
    10.1049/ip-vis:20050213
  95. Proença, H.; Alexandre, L.A.. "A method for the identification of noisy regions in normalized iris images". Proceedings - International Conference on Pattern Recognition 4 (2006): 405-408. http://www.scopus.com/inward/record.url?eid=2-s2.0-34147106934&partnerID=MN8TOARS.
    10.1109/ICPR.2006.100
  96. Proença, H.; Alexandre, L.A.. "UBIRIS: A noisy iris image database". Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3617 LNCS (2005): 970-977. http://www.scopus.com/inward/record.url?eid=2-s2.0-33745132732&partnerID=MN8TOARS.
    10.1007/11553595_119
  97. Proença, H.; Oliveira, E.. "MARCS Multi-Agent Railway Control System". Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 3315 (2004): 12-21. http://www.scopus.com/inward/record.url?eid=2-s2.0-22944486664&partnerID=MN8TOARS.
    10.1007/978-3-540-30498-2_2
Capítulo de livro
  1. Neves, João C.; Tolosana, Ruben; Vera-Rodriguez, Ruben; Lopes, Vasco; Proença, Hugo; Fierrez, Julian. "GAN Fingerprints in Face Image Synthesis". In Advances in Computer Vision and Pattern Recognition, 175-204. Springer Singapore, 2022.
    Publicado • 10.1007/978-981-16-7621-5_8
  2. Barra, S.; De Marsico, M.; Proença, H.; Nappi, M.. "MICHE competitions: A realistic experience with uncontrolled eye region acquisition". 67-104. 2019.
    10.1007/978-3-030-26972-2_4
  3. Neves, J.C.; Moreno, J.C.; Barra, S.; Narducci, F.; Proença, H.. "Unconstrained data acquisition frameworks and protocols". 1-30. 2017.
  4. Proença, H.; Neves, J.C.. "Iris biometric indexing". 101-124. 2017.
  5. Salgado, C.M.; Azevedo, C.; Proença, H.; Vieira, S.M.. "Missing data". 143-162. 2016.
  6. Salgado, C.M.; Azevedo, C.; Proença, H.; Vieira, S.M.. "Noise versus outliers". 163-183. 2016.
  7. Proença, H.; Santos, G.; Neves, J.C.. "Using ocular data for unconstrained biometric recognition". 252-271. 2014.
Livro
  1. De Marsico, M.; Nappi, M.; Proença, H.. Human recognition in unconstrained environments: Using computer vision, pattern recognition and machine learning methods for biometrics. 2017.
  2. Neves, J.C.; Moreno, J.C.; Barra, S.; Proença, H.. A calibration algorithm for multi-camera visual surveillance systems based on single-view metrology. 2015.
    10.1007/978-3-319-19390-8_62
  3. Neves, J.C.; Santos, G.; Filipe, S.; Grancho, E.; Barra, S.; Narducci, F.; Proença, H.. Quis-Campi: Extending in the wild biometric recognition to surveillance environments. 2015.
    10.1007/978-3-319-23222-5_8
  4. Proença, H.; Neves, J.C.; Sequeiros, J.; Carapito, N.; Garcia, N.C.. Biometric identification from facial sketches of poor reliability: Comparison of human and machine performance. 2014.
    10.1007/978-3-642-54080-6_3
  5. Scharcanski, J.; Proença, H.; Du, E.. Preface. 2014.
    10.1007/978-3-642-54080-6
  6. Oliveira, J.F.; Proença, H.. Caries detection in panoramic dental X-ray images. 2011.
    10.1007/978-94-007-0011-6_10

Outros

Outra produção
  1. Is Gender "In-the-Wild" Inference Really a Solved Problem?. 2021. Roxo, T.; Proença, H.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85108266269&partnerID=MN8TOARS.
  2. REGINA - Reasoning graph convolutional networks in human action recognition. 2021. Degardin, B.; Lopes, V.; Proença, H.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85108119067&partnerID=MN8TOARS.
  3. YinYang-net: Complementing face and body information for wild gender recognition. 2021. Roxo, T.; Proença, H.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85117623341&partnerID=MN8TOARS.
  4. Generative adversarial graph convolutional networks for human action synthesis. 2021. Degardin, B.; Neves, J.; Lopes, V.; Brito, J.; Yaghoubi, E.; Proença, H.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85118607037&partnerID=MN8TOARS.
  5. An attention-based deep learning model for multiple pedestrian attributes recognition. 2020. Yaghoubi, E.; Borza, D.; Neves, J.; Kumar, A.; Proença, H.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095108464&partnerID=MN8TOARS.
  6. The P-DESTRE: A fully annotated dataset for pedestrian detection, tracking, re-identification and search from aerial devices. 2020. Aruna Kumar, S.V.; Yaghoubi, E.; Das, A.; Harish, B.S.; Proença, H.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85094995835&partnerID=MN8TOARS.
  7. Unconstrained periocular recognition: Using generative deep learning frameworks for attribute normalization. 2020. Zanlorensi, L.A.; Proença, H.; Menotti, D.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85093449445&partnerID=MN8TOARS.
  8. A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems. 2020. Proença, H.; Yaghoubi, E.; Alirezazadeh, P.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85093422156&partnerID=MN8TOARS.
  9. A symbolic temporal pooling method for video-based person re-identification. 2020. Aruna Kumar, S.V.; Yaghoubi, E.; Proença, H.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095102663&partnerID=MN8TOARS.
  10. The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage. 2020. Proença, H.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095378840&partnerID=MN8TOARS.
  11. Forensic shoe-print identification: A brief survey. 2019. Rida, I.; Bakshi, S.; Proença, H.; Fei, L.; Nait-Ali, A.; Hadid, A.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85094529626&partnerID=MN8TOARS.
  12. Real or fake? Spoofing state-of-the-art face synthesis detection systems. 2019. Neves, J.C.; Tolosana, R.; Vera-Rodriguez, R.; Lopes, V.; Proença, H.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85098355238&partnerID=MN8TOARS.
  13. Deep representations for cross-spectral ocular biometrics. 2019. Zanlorensi, L.A.; Lucio, D.R.; Britto, A.S.; Proença, H.; Menotti, D.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85094345031&partnerID=MN8TOARS.
Atividades

Orientação

Título / Tema
Papel desempenhado 		Curso (Tipo)
Instituição / Organização
2020/09/01 - Atual Action Recognition and Behavior Understanding in Surveillance Environments
Orientador
 Engenharia Informática (Doutoramento)
Universidade da Beira Interior, Portugal
2020/09/01 - Atual Human Behavior Analysis
Orientador
 Engenharia Informática (Doutoramento)
Universidade da Beira Interior, Portugal
2020/09/01 - Atual Mecanismos de Defesa para Redes de Aprendizagem Profunda para Deteção Facial em Contexto Real
Coorientador
 Engenharia Informática (Doutoramento)
Universidade da Beira Interior, Portugal
2018/09/01 - 2021/10/01 Soft Biometrics Analysis in Outdoor Environments
Orientador
 Engenharia Informática (Doutoramento)
Universidade da Beira Interior, Portugal
2019/10/01 - 2020/04/01 Ocular Biometrics in Mobile Devices
Coorientador
 Engenharia Informática (Doutoramento)
Universidade Federal do Paraná Curso de Medicina, Brasil
2013/01/01 - 2017/01/01 QUIS-CAMPI: Biometric Recognition in Visual Surveillance Environments
Orientador de João Carlos Raposo Neves
 Engenharia Informática (Doutoramento)
2011/01/01 - 2015/01/01 Biometric Recognition in Unconstrained Environments
Orientador de Gil Melfe Mateus Santos
 Engenharia Informática (Doutoramento)
Universidade da Beira Interior, Portugal
Distinções

Prémio

2020 Best Associate Editor
Elsevier BV, Países Baixos
2014 Best Reviewer Award” of the IAPR / IEEE Joint Conference on Biometrics
IEEE, Estados Unidos