| Book |
- De Marsico, M.; Nappi, M.; Proença, H.. Human recognition in unconstrained environments: Using computer vision, pattern
recognition and machine learning methods for biometrics. 2017.
- 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
- 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
- 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
- Scharcanski, J.; Proença, H.; Du, E.. Preface. 2014.
10.1007/978-3-642-54080-6
- Oliveira, J.F.; Proença, H.. Caries detection in panoramic dental X-ray images. 2011.
10.1007/978-94-007-0011-6_10
|
| Book chapter |
- 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
- Neves, J.C.; Moreno, J.C.; Barra, S.; Narducci, F.; Proença, H.. "Unconstrained data acquisition frameworks and protocols".
1-30. 2017.
- Proença, H.; Neves, J.C.. "Iris biometric indexing". 101-124. 2017.
- Salgado, C.M.; Azevedo, C.; Proença, H.; Vieira, S.M.. "Missing data". 143-162. 2016.
- Salgado, C.M.; Azevedo, C.; Proença, H.; Vieira, S.M.. "Noise versus outliers". 163-183. 2016.
- Proença, H.; Santos, G.; Neves, J.C.. "Using ocular data for unconstrained biometric recognition". 252-271. 2014.
|
| Conference paper |
- Brito, J.; Proenca, H.. "A deep adversarial framework for visually explainable periocular recognition". 2021.
10.1109/CVPRW53098.2021.00161
- 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". Paper presented
in II Simpósio Ibérico de Engenharia Hortícola, Viana do Castelo, 2020.
Published
- Zanlorensi, L.A.; Proenca, H.; Menotti, D.. "Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks
for Attribute Normalization". 2020.
10.1109/ICIP40778.2020.9191251
- 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
- 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
- Degardin, B.; Proenca, H.. "Human activity analysis: Iterative weak/self-supervised learning frameworks for detecting abnormal
events". 2020.
10.1109/IJCB48548.2020.9304905
- Proenca, H.; Neves, J.C.. "Segmentation-less and non-holistic deep-learning frameworks for iris recognition". 2019.
10.1109/CVPRW.2019.00283
- Proenca, H.; Neves, J.C.. "Biometric Recognition in Surveillance Environments Using Master-Slave Architectures". 2019.
10.1109/SIBGRAPI.2018.00068
- 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
- Yaghoubi, E.; Alirezazadeh, P.; Assuncao, E.; Neves, J.C.; Proencaa, H.. "Region-based CNNs for pedestrian gender recognition
in visual surveillance environments". 2019.
- 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.
- 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
- Proença, H.; Neves, J.C.. "IRINA: Iris recognition (even) in inaccurately segmented data". 2017.
10.1109/CVPR.2017.714
- 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
- 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
- Neves, J.; Proenca, H.. "ICB-RW 2016: International challenge on biometric recognition in the wild". 2016.
10.1109/ICB.2016.7550066
- 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
- Neves, J.C.; Proença, H.. "Dynamic camera scheduling for visual surveillance in crowded scenes using Markov random fields".
2015.
10.1109/AVSS.2015.7301790
- 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
- Pereira, M.; Moreno, J.-C.; Proença, H.; Pinheiro, A.M.G.. "Automatic face recognition in HDR imaging". 2014.
10.1117/12.2054539
- Barroso, E.; Santos, G.; Proenca, H.. "Facial expressions: Discriminability of facial regions and relationship to biometrics
recognition". 2013.
10.1109/CIBIM.2013.6607918
- Proenca, H.; Neves, J.C.. "Creating synthetic IrisCodes to feed biometrics experiments". 2013.
10.1109/BIOMS.2013.6656141
- Moreno, J.C.; Surya Prasath, V.B.; Proença, H.. "Robust periocular recognition by fusing local to holistic sparse representations".
2013.
10.1145/2523514.2523540
- Santos, G.; Proenca, H.. "Periocular biometrics: An emerging technology for unconstrained scenarios". 2013.
10.1109/CIBIM.2013.6607908
|
| Journal article |
- "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
- "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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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.
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Proença, Hugo. "Iris Recognition: What Is Beyond Bit Fragility?". IEEE Transactions on Information Forensics and Security
(2015):
10.1109/TIFS.2014.2371691
- 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
- Proença, Hugo. "Ocular Biometrics by Score-Level Fusion of Disparate Experts". IEEE Transactions on Image Processing
(2014):
10.1109/TIP.2014.2361285
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Proença, Hugo. "Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests". (2012):
10.1109/TIFS.2011.2177659
- 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.
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10.1109/BTAS.2012.6374579
- 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.
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- Proença, Hugo. "Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength". (2011):
10.1109/TIFS.2010.2086446
- 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
- Proença, H.. "Non-cooperative iris recognition: Issues and trends". European Signal Processing Conference (2011): 2259-2263.
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- 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
- 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
- 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
- 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
- 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
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10.1111/j.1468-0394.2009.00534.x
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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
- 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.
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10.1007/978-3-642-10520-3_66
- 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
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10.1109/ICCIMA.2007.266
- 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
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10.1109/TPAMI.2007.1016
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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.
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10.1007/978-3-540-75175-5_90
- 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
- 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
- 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
- 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
- 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.
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