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ORCIDHugo Proença 0001
Hugo Pedro Martins Carrico Proença
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- affiliation: University of Beira Interior, Covilhã, Portugal
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2020 – today
- 2025
[j76]Tiago Roxo
, Joana Cabral Costa, Pedro R. M. Inácio, Hugo Proença:
WASD: A Wilder Active Speaker Detection Dataset. IEEE Trans. Biom. Behav. Identity Sci. 7(1): 61-70 (2025)- 2024
- [j75]Joana Cabral Costa, Tiago Roxo, Hugo Proença, Pedro Ricardo M. Inácio:
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses. IEEE Access 12: 61113-61136 (2024) - [j74]Derek Abbott, Sonia Aissa, Anuradha Annaswamy, Nirwan Ansari, Jun Cai, Kun-Shan Chen, Yixin Chen, J.-C. Chiao, Ayman El-Baz, Shaikh Fattah, Hoay Gooi, Maya B. Gokhale, Chih-Lin I, Giuseppe Iannaccone, Yumi Iwashita, Bruce Jacob, Abbas Jamalipour, Bahram Javidi, Weihua Jiang, Okyay Kaynak, Hulya Kirkici, Germano Lambert-Torres, Shengtao Li, Michal Mrozowski, Michele Nappi, Dalma Novak, Hugo Proença, Yi Qian, Zhihua Qu, Susanto Rahardja, Mehrdad Saif, Ali Serpengüzel, Peter H. Siegel, Ashitey Trebi-Ollennu, Daniela Tuninetti, Ge Wang, Keith A. Wear, Andreas Weisshaar, C. Patrick Yue, Enrico Zio:
Editor-in-Chief. IEEE Access 12: i-xi (2024) - [j73]Fernando Alonso-Fernandez, Josef Bigün, Julian Fiérrez, Naser Damer, Hugo Proença, Arun Ross:
Periocular Biometrics: A Modality for Unconstrained Scenarios. Computer 57(6): 40-49 (2024) - [j72]Kien Nguyen Thanh, Hugo Proença, Fernando Alonso-Fernandez:
Deep Learning for Iris Recognition: A Survey. ACM Comput. Surv. 56(9): 223:1-223:35 (2024) - [j71]Kailash A. Hambarde, Hugo Proença:
Image-based human re-identification: Which covariates are actually (the most) important? Image Vis. Comput. 143: 104917 (2024) - [j70]Bruno Degardin, Vasco Lopes, Hugo Proença:
Fake It Till You Recognize It: Quality Assessment for Human Action Generative Models. IEEE Trans. Biom. Behav. Identity Sci. 6(2): 261-271 (2024) - [j69]Anderson Rocha, Kevin W. Bowyer, Luisa Verdoliva, Zhen Lei, Hugo Proença, Mark S. Nixon:
Cutting-Edge Biometrics Research: Selected Best Papers From IJCB 2023. IEEE Trans. Biom. Behav. Identity Sci. 6(4): 439-442 (2024) - [c44]Henrique Jesus, Hugo Proença:
Towards Zero-Shot Interpretable Human Recognition: A 2D-3D Registration Framework. IJCB 2024: 1-9 - [c43]Silas Santiago Lopes Pereira, José Everardo Bessa Maia, Hugo Proença:
Video Anomaly Detection in Overlapping Data: The More Cameras, the Better? IJCB 2024: 1-10 - [c42]Marcelo dos Santos, João C. R. Neves, Hugo Proença, David Menotti:
Defying Limits: Super-Resolution Refinement with Diffusion Guidance. VISIGRAPP (4): VISAPP 2024: 426-434 - [i28]Henrique Jesus, Hugo Proença:
Towards Zero-Shot Interpretable Human Recognition: A 2D-3D Registration Framework. CoRR abs/2403.06658 (2024) - [i27]Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde, Hamzeh Mohammadigheymasi, Javier Mancilla, Andre Sequeira, João Neves, Hugo Proença:
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning. CoRR abs/2408.05498 (2024) - [i26]Tiago Roxo, Joana Cabral Costa, Pedro R. M. Inácio, Hugo Proença:
How to Squeeze An Explanation Out of Your Model. CoRR abs/2412.05134 (2024) - [i25]Tiago Roxo, Joana Cabral Costa, Pedro R. M. Inácio, Hugo Proença:
BIAS: A Body-based Interpretable Active Speaker Approach. CoRR abs/2412.05150 (2024) - [i24]Tiago Roxo, Joana Cabral Costa, Pedro R. M. Inácio, Hugo Proença:
ASDnB: Merging Face with Body Cues For Robust Active Speaker Detection. CoRR abs/2412.08594 (2024) - 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) - [c41]Tiago Roxo, Joana Cabral Costa, Pedro R. M. Inácio, Hugo Proença:
On Exploring Audio Anomaly in Speech. WIFS 2023: 1-6 - [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 Neves, Hugo Proença, David Menotti:
Face Super-Resolution Using Stochastic Differential Equations. SIBGRAPI 2022: 216-221 - [c39]Bruno Degardin, João 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 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 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 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, Ruben 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 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 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 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 Neves, Ruben 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 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 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 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]Hugo Proença:
Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength. IEEE Trans. Inf. Forensics Secur. 6(1): 82-95 (2011) - [c14]Rui Raposo, Edmundo Hoyle, Adolfo Peixinho, Hugo Proença:
UBEAR: A dataset of ear images captured on-the-move in uncontrolled conditions. CIBIM 2011: 84-90 - [c13]Hugo Proença:
Non-cooperative iris recognition: Issues and trends. EUSIPCO 2011: 2259-2263 - [c12]Gil Melfe Mateus Santos, Hugo Proença:
A robust eye-corner detection method for real-world data. IJCB 2011: 1-7 - 2010
- [j6]Hugo Proença:
An iris recognition approach through structural pattern analysis methods. Expert Syst. J. Knowl. Eng. 27(1): 6-16 (2010) - [j5]Hugo Proença, Luís A. Alexandre:
Iris recognition: Analysis of the error rates regarding the accuracy of the segmentation stage. Image Vis. Comput. 28(1): 202-206 (2010) - [j4]Hugo Proença, Luís A. Alexandre:
Introduction to the Special Issue on the Segmentation of Visible Wavelength Iris Images Captured At-a-distance and On-the-move. Image Vis. Comput. 28(2): 213-214 (2010) - [j3]Hugo Proença:
Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1502-1516 (2010) - [j2]Hugo Proença, Sílvio Filipe, Ricardo Santos, João Oliveira, Luís A. Alexandre:
The UBIRIS.v2: A Database of Visible Wavelength Iris Images Captured On-the-Move and At-a-Distance. IEEE Trans. Pattern Anal. Mach. Intell. 32(8): 1529-1535 (2010) - [c11]Gil Melfe Mateus Santos, Marco V. Bernardo, Hugo Pedro Martins Carrico Proença, Paulo Torrão Fiadeiro:
Iris Recognition: Preliminary Assessment about the Discriminating Capacity of Visible Wavelength Data. ISM 2010: 324-329
2000 – 2009
- 2009
- [c10]Hugo Proença:
On the feasibility of the visible wavelength, at-a-distance and on-the-move iris recognition. CIB 2009: 9-15 - [c9]Gil Melfe Mateus Santos, Hugo Pedro Martins Carrico Proença:
On the Role of Interpolation in the Normalization of Non-ideal Visible Wavelength Iris Images. CIS (1) 2009: 315-319 - [c8]Hugo Proença:
Biometric Recognition: When Is Evidence Fusion Advantageous? ISVC (2) 2009: 698-708 - 2008
- [c7]Andre Costa, Paulo Pedreiras, José Alberto Fonseca, João Nuno Matos, Hugo Proença, Alvaro Gomes, Jorge Sales Gomes:
Evaluating WiMAX for vehicular communication applications. ETFA 2008: 1185-1188 - [c6]Hugo Proença:
Iris Recognition: A Method to Segment Visible Wavelength Iris Images Acquired On-the-Move and At-a-Distance. ISVC (1) 2008: 731-742 - [p1]Hugo Proença:
A Structural Pattern Analysis Approach to Iris Recognition. Computer Recognition Systems 2 2008: 731-738 - 2007
- [j1]Hugo Proença, Luís A. Alexandre:
Toward Noncooperative Iris Recognition: A Classification Approach Using Multiple Signatures. IEEE Trans. Pattern Anal. Mach. Intell. 29(4): 607-612 (2007) - [c5]Hugo Proença, Luís A. Alexandre:
Iris Recognition: An Entropy-Based Coding Strategy Robust to Noisy Imaging Environments. ISVC (1) 2007: 621-632 - 2006
- [c4]Hugo Proença, Luís A. Alexandre:
A Method for the Identification of Inaccuracies in Pupil Segmentation. ARES 2006: 224-228 - [c3]Hugo Proença, Luís A. Alexandre:
A Method for the Identification of Noisy Regions in Normalized Iris Images. ICPR (4) 2006: 405-408 - 2005
- [c2]Hugo Proença, Luís A. Alexandre:
UBIRIS: A Noisy Iris Image Database. ICIAP 2005: 970-977 - 2004
- [c1]Hugo Proença, Eugénio Oliveira:
MARCS Multi-agent Railway Control System. IBERAMIA 2004: 12-21
Coauthor Index
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