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Hugo Proença 0001
Hugo Pedro Martins Carrico Proença
Person information

- affiliation:
- affiliation: University of Beira Interior, Covilhã, Portugal
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2020 – today
- 2023
- [j68]Kailash A. Hambarde
, Hugo Proença
:
Information Retrieval: Recent Advances and Beyond. IEEE Access 11: 76581-76604 (2023) - [j67]Lucia Cascone, Chiara Pero, Hugo Proença:
Visual and textual explainability for a biometric verification system based on piecewise facial attribute analysis. Image Vis. Comput. 132: 104645 (2023) - [j66]Jan Niklas Kolf, Jurek Elliesen, Fadi Boutros, Hugo Proença, Naser Damer:
SyPer: Synthetic periocular data for quantized light-weight recognition in the NIR and visible domains. Image Vis. Comput. 135: 104692 (2023) - [j65]Bruno Degardin, Vasco Lopes, Hugo Proença:
ATOM: Self-supervised human action recognition using atomic motion representation learning. Image Vis. Comput. 137: 104750 (2023) - [j64]Hugo Proença, David Menotti, Afonso Paiva, Gladimir V. G. Baranoski:
Conference on graphics, patterns and images. Pattern Recognit. Lett. 166: 172-173 (2023) - [j63]Diana Laura Borza, Ehsan Yaghoubi, Simone Frintrop, Hugo Proença
:
Adaptive Spatial Transformation Networks for Periocular Recognition. Sensors 23(5): 2456 (2023) - [i23]Kailash A. Hambarde, Hugo Proença:
Information Retrieval: Recent Advances and Beyond. CoRR abs/2301.08801 (2023) - [i22]Tiago Roxo, Joana Cabral Costa, Pedro R. M. Inácio, Hugo Proença:
WASD: A Wilder Active Speaker Detection Dataset. CoRR abs/2303.05321 (2023) - [i21]Joana Cabral Costa, Tiago Roxo, Hugo Proença, Pedro R. M. Inácio:
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses. CoRR abs/2305.10862 (2023) - 2022
- [j62]Tiago Roxo
, Hugo Proença
:
YinYang-Net: Complementing Face and Body Information for Wild Gender Recognition. IEEE Access 10: 28122-28132 (2022) - [j61]Joana Cabral Costa
, Tiago Roxo
, João B. F. Sequeiros
, Hugo Proença
, Pedro R. M. Inácio
:
Predicting CVSS Metric via Description Interpretation. IEEE Access 10: 59125-59134 (2022) - [j60]Michele Nappi, Hugo Proença, Sambit Bakshi, Vittorio Murino:
Guest Editorial Introduction to the Special Issue on "Biometrics Based Methods for Healthcare Applications". Comput. Vis. Image Underst. 224: 103559 (2022) - [j59]Eduardo Assunção
, Pedro Dinis Gaspar
, Khadijeh Alibabaei
, Maria P. Simões
, Hugo Proença
, Vasco N. G. J. Soares
, João M. L. P. Caldeira
:
Real-Time Image Detection for Edge Devices: A Peach Fruit Detection Application. Future Internet 14(11): 323 (2022) - [j58]Michele Nappi, Hugo Proença, Guodong Guo, Sambit Bakshi:
25th ICPR - Real-time Visual Surveillance as-a-Service (VSaaS) for smart security solutions. IET Biom. 11(4): 277-278 (2022) - [j57]Eduardo Assunção
, Pedro Dinis Gaspar
, Ricardo Mesquita
, Maria P. Simões
, Khadijeh Alibabaei
, André Veiros
, Hugo Proença
:
Real-Time Weed Control Application Using a Jetson Nano Edge Device and a Spray Mechanism. Remote. Sens. 14(17): 4217 (2022) - [j56]Hugo Proença
:
The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage. IEEE Trans. Circuits Syst. Video Technol. 32(2): 496-509 (2022) - [j55]Hugo Proença
:
: A Learning-Based Framework to Augment Permanence. IEEE Trans. Inf. Forensics Secur. 17: 3748-3757 (2022) - [c40]Marcelo dos Santos, Rayson Laroca
, Rafael O. Ribeiro
, João C. Neves, Hugo Proença, David Menotti:
Face Super-Resolution Using Stochastic Differential Equations. SIBGRAPI 2022: 216-221 - [c39]Bruno Degardin
, João C. Neves
, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença:
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. WACV 2022: 2753-2762 - [i20]Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João C. Neves, Hugo Proença, David Menotti:
Face Super-Resolution Using Stochastic Differential Equations. CoRR abs/2209.12064 (2022) - [i19]Kien Nguyen, Hugo Proença, Fernando Alonso-Fernandez:
Deep Learning for Iris Recognition: A Survey. CoRR abs/2210.05866 (2022) - [i18]Fernando Alonso-Fernandez, Josef Bigün, Julian Fiérrez, Naser Damer, Hugo Proença, Arun Ross:
Periocular Biometrics: A Modality for Unconstrained Scenarios. CoRR abs/2212.13792 (2022) - 2021
- [j54]Maria De Marsico, Hugo Proença
, Sambit Bakshi, Abhijit Das:
Editorial to special issue on novel insights on ocular biometrics. Image Vis. Comput. 112: 104227 (2021) - [j53]Ehsan Yaghoubi
, Diana Borza, Bruno Degardin
, Hugo Proença
:
You look so different! Haven't I seen you a long time ago? Image Vis. Comput. 115: 104288 (2021) - [j52]Ehsan Yaghoubi, Aruna Kumar, Hugo Proença
:
SSS-PR: A short survey of surveys in person re-identification. Pattern Recognit. Lett. 143: 50-57 (2021) - [j51]Ehsan Yaghoubi, Diana Borza, S. V. Aruna Kumar, Hugo Proença
:
Person re-identification: Implicitly defining the receptive fields of deep learning classification frameworks. Pattern Recognit. Lett. 145: 23-29 (2021) - [j50]Bruno Degardin
, Hugo Proença
:
Iterative weak/self-supervised classification framework for abnormal events detection. Pattern Recognit. Lett. 145: 50-57 (2021) - [j49]Tiago Roxo
, Hugo Proença
:
Is Gender "In-the-Wild" Inference Really a Solved Problem? IEEE Trans. Biom. Behav. Identity Sci. 3(4): 573-582 (2021) - [j48]Hugo Proença
, Ehsan Yaghoubi, Pendar Alirezazadeh:
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-Output Classification Problems. IEEE Trans. Inf. Forensics Secur. 16: 800-811 (2021) - [j47]S. V. Aruna Kumar
, Ehsan Yaghoubi, Abhijit Das
, B. S. Harish, Hugo Proença
:
The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, and Short/Long-Term Re-Identification From Aerial Devices. IEEE Trans. Inf. Forensics Secur. 16: 1696-1708 (2021) - [j46]Bruno Degardin
, Vasco Lopes, Hugo Proença
:
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition. IEEE Trans. Inf. Forensics Secur. 16: 5442-5451 (2021) - [c38]João Brito, Hugo Proença
:
A Deep Adversarial Framework for Visually Explainable Periocular Recognition. CVPR Workshops 2021: 1453-1461 - [i17]Tiago Roxo, Hugo Proença:
Is Gender "In-the-Wild" Inference Really a Solved Problem? CoRR abs/2105.05794 (2021) - [i16]Bruno Degardin, Vasco Lopes, Hugo Proença:
REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition. CoRR abs/2105.06711 (2021) - [i15]Tiago Roxo, Hugo Proença:
Faces in the Wild: Efficient Gender Recognition in Surveillance Conditions. CoRR abs/2107.06847 (2021) - [i14]Bruno Degardin, João C. Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença:
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. CoRR abs/2110.11191 (2021) - 2020
- [j45]Luiz A. Zanlorensi
, Diego Rafael Lucio, Alceu de Souza Britto Junior, Hugo Proença
, David Menotti
:
Deep representations for cross-spectral ocular biometrics. IET Biom. 9(2): 68-77 (2020) - [j44]Ehsan Yaghoubi, Diana Borza, João C. Neves
, Aruna Kumar, Hugo Proença
:
An attention-based deep learning model for multiple pedestrian attributes recognition. Image Vis. Comput. 102: 103981 (2020) - [j43]João C. Neves
, Rubén Tolosana
, Rubén Vera-Rodríguez
, Vasco Lopes
, Hugo Proença
, Julian Fiérrez
:
GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection. IEEE J. Sel. Top. Signal Process. 14(5): 1038-1048 (2020) - [j42]Manuel J. Marín-Jiménez
, Aythami Morales, Julian Fiérrez, Antonio Pertusa
, Hugo Proença
, José Salvador Sánchez:
Editorial for special section at Pattern Recognition Letters - IbPRIA 2019. Pattern Recognit. Lett. 133: 365 (2020) - [c37]Diana Borza, Ehsan Yaghoubi, João C. Neves
, Hugo Proença
:
All-in-one "HairNet": A Deep Neural Model for Joint Hair Segmentation and Characterization. IJCB 2020: 1-10 - [c36]Bruno Degardin
, Hugo Proença
:
Human Activity Analysis: Iterative Weak/Self-Supervised Learning Frameworks for Detecting Abnormal Events. IJCB 2020: 1-7 - [c35]Luiz A. Zanlorensi, Hugo Proença
, David Menotti:
Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization. ICIP 2020: 1361-1365 - [i13]Ehsan Yaghoubi
, Diana Borza, Aruna Kumar, Hugo Proença:
An Implicit Attention Mechanism for Deep Learning Pedestrian Re-identification Frameworks. CoRR abs/2001.11267 (2020) - [i12]Luiz A. Zanlorensi, Hugo Proença, David Menotti:
Unconstrained Periocular Recognition: Using Generative Deep Learning Frameworks for Attribute Normalization. CoRR abs/2002.03985 (2020) - [i11]Hugo Proença, Ehsan Yaghoubi
, Pendar Alirezazadeh:
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems. CoRR abs/2002.11644 (2020) - [i10]Ehsan Yaghoubi
, Diana Borza, João C. Neves, Aruna Kumar, Hugo Proença:
An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition. CoRR abs/2004.01110 (2020) - [i9]S. V. Aruna Kumar, Ehsan Yaghoubi
, Abhijit Das, B. S. Harish, Hugo Proença:
The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices. CoRR abs/2004.02782 (2020) - [i8]S. V. Aruna Kumar, Ehsan Yaghoubi, Hugo Proença:
A Symbolic Temporal Pooling method for Video-based Person Re-Identification. CoRR abs/2006.11416 (2020) - [i7]Hugo Proença:
The UU-Net: Reversible Face De-Identification for Visual Surveillance Video Footage. CoRR abs/2007.04316 (2020)
2010 – 2019
- 2019
- [j41]Sambit Bakshi, Guodong Guo, Hugo Proença
, Massimo Tistarelli:
IEEE Access Special Section Editorial: Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities. IEEE Access 7: 137638-137641 (2019) - [j40]João C. Neves
, Hugo Proença
:
"A Leopard Cannot Change Its Spots": Improving Face Recognition Using 3D-Based Caricatures. IEEE Trans. Inf. Forensics Secur. 14(1): 151-161 (2019) - [j39]Hugo Proença
, João C. Neves
:
A Reminiscence of "Mastermind": Iris/Periocular Biometrics by "In-Set" CNN Iterative Analysis. IEEE Trans. Inf. Forensics Secur. 14(7): 1702-1712 (2019) - [c34]Pendar Alirezazadeh, Ehsan Yaghoubi, Eduardo Assunção, João C. Neves, Hugo Proença:
Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment. BIOSIG 2019: 153-162 - [c33]Ehsan Yaghoubi, Pendar Alirezazadeh, Eduardo Assunção, João C. Neves, Hugo Proença:
Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments. BIOSIG 2019: 165-172 - [c32]Rubén Vera-Rodríguez, Marta Blázquez, Aythami Morales, Ester Gonzalez-Sosa, João C. Neves
, Hugo Proença
:
FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems. CVPR Workshops 2019: 2254-2260 - [c31]Hugo Proença
, João C. Neves
:
Segmentation-Less and Non-Holistic Deep-Learning Frameworks for Iris Recognition. CVPR Workshops 2019: 2296-2305 - [p3]Silvio Barra, Maria De Marsico, Hugo Proença
, Michele Nappi:
MICHE Competitions: A Realistic Experience with Uncontrolled Eye Region Acquisition. Selfie Biometrics 2019: 67-104 - [i6]Imad Rida, Sambit Bakshi, Xiaojun Chang, Hugo Proença:
Forensic Shoe-print Identification: A Brief Survey. CoRR abs/1901.01431 (2019) - [i5]João C. Neves, Rubén Tolosana, Rubén Vera-Rodríguez, Vasco Lopes
, Hugo Proença:
Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems. CoRR abs/1911.05351 (2019) - [i4]Luiz A. Zanlorensi, Diego Rafael Lucio, Alceu S. Britto Jr., Hugo Proença, David Menotti:
Deep Representations for Cross-spectral Ocular Biometrics. CoRR abs/1911.09509 (2019) - 2018
- [j38]Hugo Proença
, Mark S. Nixon
, Michele Nappi, Esam Ghaleb, Gökhan Özbulak, Hua Gao, Hazim Kemal Ekenel
, Klemen Grm, Vitomir Struc, Hailin Shi, Xiangyu Zhu, Shengcai Liao
, Zhen Lei, Stan Z. Li, Weronika Gutfeter
, Andrzej Pacut, Joel Brogan
, Walter J. Scheirer, Ester Gonzalez-Sosa, Rubén Vera-Rodríguez
, Julian Fiérrez, Javier Ortega-Garcia
, Daniel Riccio, Luigi De Maio:
Trends and Controversies. IEEE Intell. Syst. 33(3): 41-67 (2018) - [j37]João C. Neves
, Juan Carlos Moreno, Hugo Proença
:
QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios. IET Biom. 7(4): 371-379 (2018) - [j36]Zahid Akhtar
, Gautam Kumar
, Sambit Bakshi
, Hugo Proença
:
Experiments with Ocular Biometric Datasets: A Practitioner's Guideline. IT Prof. 20(3): 50-63 (2018) - [j35]Maria De Marsico, Michele Nappi, Fabio Narducci
, Hugo Proença
:
Insights into the results of MICHE I - Mobile Iris CHallenge Evaluation. Pattern Recognit. 74: 286-304 (2018) - [j34]Hugo Proença
, João C. Neves
:
Deep-PRWIS: Periocular Recognition Without the Iris and Sclera Using Deep Learning Frameworks. IEEE Trans. Inf. Forensics Secur. 13(4): 888-896 (2018) - [c30]Hugo Proença
, João C. Neves
:
Biometric Recognition in Surveillance Environments Using Master-Slave Architectures. SIBGRAPI 2018: 479-486 - 2017
- [j33]Hugo Proença
, João C. Neves
:
Fusing Vantage Point Trees and Linear Discriminants for Fast Feature Classification. J. Classif. 34(1): 85-107 (2017) - [j32]Chandrashekhar Padole, Hugo Proença
:
An aperiodic feature representation for gait recognition in cross-view scenarios for unconstrained biometrics. Pattern Anal. Appl. 20(1): 73-86 (2017) - [j31]Maria De Marsico, Michele Nappi, Hugo Proença
:
"Mobile Iris CHallenge Evaluation part II (MICHE II)". Pattern Recognit. Lett. 91: 1-2 (2017) - [j30]Maria De Marsico
, Michele Nappi, Hugo Proença
:
Results from MICHE II - Mobile Iris CHallenge Evaluation II. Pattern Recognit. Lett. 91: 3-10 (2017) - [j29]Hugo Proença
, João C. Neves
:
Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs. IEEE Trans. Inf. Forensics Secur. 12(7): 1637-1645 (2017) - [c29]Hugo Proença
, João C. Neves
:
IRINA: Iris Recognition (Even) in Inaccurately Segmented Data. CVPR 2017: 6747-6756 - [c28]João C. Neves
, Hugo Proença
:
Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments. FG 2017: 981-986 - 2016
- [j28]João C. Neves
, Fabio Narducci
, Silvio Barra
, Hugo Proença
:
Biometric recognition in surveillance scenarios: a survey. Artif. Intell. Rev. 46(4): 515-541 (2016) - [j27]Hugo Proença
, João C. Neves
:
Visible-wavelength iris/periocular imaging and recognition surveillance environments. Image Vis. Comput. 55: 22-25 (2016) - [j26]Elisa Barroso
, Gil Melfe Mateus Santos, Luis Cardoso, Chandrashekhar Padole, Hugo Proença
:
Periocular recognition: how much facial expressions affect performance? Pattern Anal. Appl. 19(2): 517-530 (2016) - [j25]Hugo Proença
, João C. Neves
, Silvio Barra
, Tiago Marques, Juan Carlos Moreno:
Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2444-2456 (2016) - [j24]Juan Carlos Moreno, V. B. Surya Prasath
, Gil Melfe Mateus Santos, Hugo Proença
:
Robust Periocular Recognition by Fusing Sparse Representations of Color and Geometry Information. J. Signal Process. Syst. 82(3): 403-417 (2016) - [c27]João C. Neves
, Hugo Proença
:
ICB-RW 2016: International challenge on biometric recognition in the wild. ICB 2016: 1-6 - [c26]Modesto Castrillón Santana
, Maria De Marsico, Michele Nappi, Fabio Narducci
, Hugo Proença
:
Mobile Iris CHallenge Evaluation II: Results from the ICPR competition. ICPR 2016: 149-154 - 2015
- [j23]Gil Melfe Mateus Santos, Paulo Torrão Fiadeiro, Hugo Proença
:
BioHDD: a dataset for studying biometric identification on heavily degraded data. IET Biom. 4(1): 1-9 (2015) - [j22]Hugo Proença
, João C. Neves
, Juan Carlos Briceño:
Face recognition: handling data misalignments implicitly by fusion of sparse representations. IET Comput. Vis. 9(2): 216-225 (2015) - [j21]Maria De Marsico, Michele Nappi
, Hugo Proença
:
Guest editorial introduction to the special executable issue on "Mobile Iris CHallenge Evaluation part I (MICHE I)". Pattern Recognit. Lett. 57: 1-3 (2015) - [j20]Hugo Proença
:
Performance evaluation of keypoint detection and matching techniques on grayscale data. Signal Image Video Process. 9(5): 1009-1019 (2015) - [j19]Hugo Proença
:
Iris Recognition: What Is Beyond Bit Fragility? IEEE Trans. Inf. Forensics Secur. 10(2): 321-332 (2015) - [c25]João C. Neves
, Hugo Proença
:
Dynamic camera scheduling for visual surveillance in crowded scenes using Markov random fields. AVSS 2015: 1-6 - [c24]João C. Neves
, Juan Carlos Moreno, Silvio Barra
, Hugo Proença
:
Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm. BTAS 2015: 1-8 - [c23]João C. Neves
, Juan Carlos Moreno, Silvio Barra
, Hugo Proença
:
A Calibration Algorithm for Multi-camera Visual Surveillance Systems Based on Single-View Metrology. IbPRIA 2015: 552-559 - [c22]João C. Neves
, Gil Melfe Mateus Santos, Sílvio Filipe
, Emanuel Grancho, Silvio Barra
, Fabio Narducci
, Hugo Proença
:
Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments. ICIAP Workshops 2015: 59-68 - [i3]Juan Carlos Moreno
, V. B. Surya Prasath
, Dmitry Vorotnikov, Hugo Proença, Kannappan Palaniappan:
Adaptive diffusion constrained total variation scheme with application to 'cartoon + texture + edge' image decomposition. CoRR abs/1505.00866 (2015) - 2014
- [j18]Juan Carlos Moreno
, V. B. Surya Prasath
, Hugo Proença
, Kannappan Palaniappan:
Fast and globally convex multiphase active contours for brain MRI segmentation. Comput. Vis. Image Underst. 125: 237-250 (2014) - [j17]Hugo Proença
, Juan Carlos Briceño:
Periocular biometrics: constraining the elastic graph matching algorithm to biologically plausible distortions. IET Biom. 3(4): 167-175 (2014) - [j16]Hugo Proença
:
ReigSAC: fast discrimination of spurious keypoint correspondences on planar surfaces. Mach. Vis. Appl. 25(3): 763-773 (2014) - [j15]Hugo Proença
:
Ocular Biometrics by Score-Level Fusion of Disparate Experts. IEEE Trans. Image Process. 23(12): 5082-5093 (2014) - [c21]Hugo Proença
, João C. Neves
, Gil Melfe Mateus Santos:
Segmenting the periocular region using a hierarchical graphical model fed by texture / shape information and geometrical constraints. IJCB 2014: 1-7 - 2013
- [j14]Chandrashekhar N. Padole, Hugo Proença
:
Compensating for pose and illumination in unconstrained periocular biometrics. Int. J. Biom. 5(3/4): 336-359 (2013) - [j13]Luis Cardoso, André F. S. Barbosa, Frutuoso G. M. Silva
, António M. G. Pinheiro, Hugo Proença
:
Iris Biometrics: Synthesis of Degraded Ocular Images. IEEE Trans. Inf. Forensics Secur. 8(7): 1115-1125 (2013) - [j12]Hugo Proença
:
Iris Biometrics: Indexing and Retrieving Heavily Degraded Data. IEEE Trans. Inf. Forensics Secur. 8(12): 1975-1985 (2013) - [c20]Gil Melfe Mateus Santos, Hugo Proença
:
Periocular biometrics: An emerging technology for unconstrained scenarios. CIBIM 2013: 14-21 - [c19]Elisa Barroso, Gil Melfe Mateus Santos, Hugo Proença
:
Facial expressions: Discriminability of facial regions and relationship to biometrics recognition. CIBIM 2013: 77-80 - [c18]João C. Neves
, Helena Castro
, Hugo Proença
, Miguel T. Coimbra
:
Automatic Annotation of Leishmania Infections in Fluorescence Microscopy Images. ICIAR 2013: 613-620 - [c17]Juan Carlos Moreno, V. B. Surya Prasath
, Hugo Proença
:
Robust periocular recognition by fusing local to holistic sparse representations. SIN 2013: 160-164 - [p2]Hugo Proença:
Iris Recognition in the Visible Wavelength. Handbook of Iris Recognition 2013: 151-169 - [i2]Juan Carlos Moreno, V. B. Surya Prasath
, Hugo Proença, Kannappan Palaniappan:
Brain MRI Segmentation with Fast and Globally Convex Multiphase Active Contours. CoRR abs/1308.6056 (2013) - [i1]Juan Carlos Moreno, V. B. Surya Prasath
, Gil Melfe Mateus Santos, Hugo Proença:
Robust Periocular Recognition By Fusing Sparse Representations of Color and Geometry Information. CoRR abs/1309.2752 (2013) - 2012
- [j11]Hugo Proença
, Gil Melfe Mateus Santos:
Fusing color and shape descriptors in the recognition of degraded iris images acquired at visible wavelengths. Comput. Vis. Image Underst. 116(2): 167-178 (2012) - [j10]Hugo Proença
, Luís A. Alexandre
:
Introduction to the Special Issue on the Recognition of Visible Wavelength Iris Images Captured At-a-distance and On-the-move. Pattern Recognit. Lett. 33(8): 963-964 (2012) - [j9]Hugo Proença
, Luís A. Alexandre
:
Toward Covert Iris Biometric Recognition: Experimental Results From the NICE Contests. IEEE Trans. Inf. Forensics Secur. 7(2): 798-808 (2012) - [c16]Oleg V. Komogortsev, Alex Karpov
, Corey D. Holland, Hugo Proença
:
Multimodal ocular biometrics approach: A feasibility study. BTAS 2012: 209-216 - [c15]Chandrashekhar N. Padole, Hugo Proença
:
Periocular recognition: Analysis of performance degradation factors. ICB 2012: 439-445 - 2011
- [j8]Hugo Proença
, Eliza Yingzi Du, Jacob Scharcanski
:
Introduction to the special issue on unconstrained biometrics: advances and trends. Signal Image Video Process. 5(4): 399-400 (2011) - [j7]