FTP@VDTN - A file transfer application for Vehicular Delay-Tolerant Networks. - João N. Isento; João A. Dias 001; João C. Neves 001; Vasco N. G. J. Soares; Joel J. P. C. Rodrigues; António Manuel Duarte Nogueira; Paulo Salvador 001 (EUROCON, 2011)

Automatic Annotation of Leishmania Infections in Fluorescence Microscopy Images. - João C. Neves 001; Helena Castro; Hugo Proença 001; Miguel T. Coimbra (ICIAR, 2013)

Segmenting the periocular region using a hierarchical graphical model fed by texture / shape information and geometrical constraints. - Hugo Proença 001; João C. Neves 001; Gil Melfe Mateus Santos (IJCB, 2014)

Evaluation of human silhouette detection methods for a non-cooperative biometric system. - Damian Kacperski; Michal Wlodarczyk 002; Kamil Grabowski; João Neves 002 (MIXDES, 2014)

Dynamic camera scheduling for visual surveillance in crowded scenes using Markov random fields. - João C. Neves 001; Hugo Proença 001 (AVSS, 2015)

Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm. - João C. Neves 001; Juan Carlos Moreno; Silvio Barra; Hugo Proença 001 (BTAS, 2015)

A Calibration Algorithm for Multi-camera Visual Surveillance Systems Based on Single-View Metrology. - João C. Neves 001; Juan Carlos Moreno; Silvio Barra; Hugo Proença 001 (IbPRIA, 2015)

Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments. - João C. Neves 001; Gil Melfe Mateus Santos; Sílvio Filipe; Emanuel Grancho; Silvio Barra; Fabio Narducci; Hugo Proença 001 (ICIAP Workshops, 2015)

Do we need a perfect ground-truth for benchmarking Internet traffic classifiers? - Maria Rosário de Oliveira; João Neves 002; Rui Valadas; Paulo Salvador 001 (INFOCOM, 2015)

Face recognition: handling data misalignments implicitly by fusion of sparse representations. - Hugo Proença 001; João Neves 002; Juan Carlos Briceño (IET Comput. Vis., 2015)

ICB-RW 2016: International challenge on biometric recognition in the wild. - João C. Neves 001; Hugo Proença 001 (ICB, 2016)

Biometric recognition in surveillance scenarios: a survey. - João C. Neves 001; Fabio Narducci; Silvio Barra; Hugo Proença 001 (Artif. Intell. Rev., 2016)

Visible-wavelength iris/periocular imaging and recognition surveillance environments. - Hugo Proença 001; João C. Neves 001 (Image Vis. Comput., 2016)

Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild. - Hugo Proença 001; João C. Neves 001; Silvio Barra; Tiago Marques; Juan Carlos Moreno (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

IRINA: Iris Recognition (Even) in Inaccurately Segmented Data. - Hugo Proença 001; João C. Neves 001 (CVPR, 2017)

Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments. - João Neves 002; Hugo Proença 001 (FG, 2017)

Fusing Vantage Point Trees and Linear Discriminants for Fast Feature Classification. - Hugo Proença 001; João C. Neves 001 (J. Classif., 2017)

Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs. - Hugo Proença 001; João C. Neves 001 (IEEE Trans. Inf. Forensics Secur., 2017)

Biometric Recognition in Surveillance Environments Using Master-Slave Architectures. - Hugo Proença 001; João C. Neves 001 (SIBGRAPI, 2018)

QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios. - João Neves 002; Juan Carlos Moreno; Hugo Proença 001 (IET Biom., 2018)

Deep-PRWIS: Periocular Recognition Without the Iris and Sclera Using Deep Learning Frameworks. - Hugo Proença 001; João C. Neves 001 (IEEE Trans. Inf. Forensics Secur., 2018)

Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment. - Pendar Alirezazadeh; Ehsan Yaghoubi; Eduardo Assunção; João C. Neves 001; Hugo Proença 001 (BIOSIG, 2019)

Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments. - Ehsan Yaghoubi; Pendar Alirezazadeh; Eduardo Assunção; João C. Neves 001; Hugo Proença 001 (BIOSIG, 2019)

Segmentation-Less and Non-Holistic Deep-Learning Frameworks for Iris Recognition. - Hugo Proença 001; João C. Neves 001 (CVPR Workshops, 2019)

FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems. - Rubén Vera-Rodríguez; Marta Blázquez; Aythami Morales; Ester Gonzalez-Sosa; João C. Neves 001; Hugo Proença 001 (CVPR Workshops, 2019)

Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems. - João Neves 002; Ruben Tolosana; Rubén Vera-Rodríguez; Vasco Lopes; Hugo Proença 001 (CoRR, 2019)

"A Leopard Cannot Change Its Spots": Improving Face Recognition Using 3D-Based Caricatures. - João Neves 002; Hugo Proença 001 (IEEE Trans. Inf. Forensics Secur., 2019)

A Reminiscence of "Mastermind": Iris/Periocular Biometrics by "In-Set" CNN Iterative Analysis. - Hugo Proença 001; João C. Neves 001 (IEEE Trans. Inf. Forensics Secur., 2019)

All-in-one "HairNet": A Deep Neural Model for Joint Hair Segmentation and Characterization. - Diana Borza; Ehsan Yaghoubi; João Neves 002; Hugo Proença 001 (IJCB, 2020)

An attention-based deep learning model for multiple pedestrian attributes recognition. - Ehsan Yaghoubi; Diana Borza; João Neves 002; Aruna Kumar; Hugo Proença 001 (Image Vis. Comput., 2020)

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection. - João C. Neves 001; Ruben Tolosana; Rubén Vera-Rodríguez; Vasco Lopes; Hugo Proença 001; Julian Fiérrez (IEEE J. Sel. Top. Signal Process., 2020)

ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices. - Cristiano Patrício; João C. Neves 001 (AVSS, 2021)

Face Super-Resolution Using Stochastic Differential Equations. - Marcelo dos Santos; Rayson Laroca; Rafael O. Ribeiro; João Neves 002; Hugo Proença 001; David Menotti (SIBGRAPI, 2022)

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. - Bruno Degardin; João Neves 002; Vasco Lopes; João Brito; Ehsan Yaghoubi; Hugo Proença 001 (WACV, 2022)

Explainable Deep Learning Methods in Medical Diagnosis: A Survey. - Cristiano Patrício; João C. Neves 001; Luís F. Teixeira 001 (CoRR, 2022)

WildFruiP: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild. - Diogo J. Paulo; Cláudia M. B. Neves; Dulcineia Ferreira Wessel; João C. Neves 001 (CIARP, 2023)

Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis. - Cristiano Patrício; João C. Neves 001; Luís F. Teixeira 001 (CVPR Workshops, 2023)

Embedding Aggregation for Forensic Facial Comparison. - Rafael Oliveira Ribeiro; João C. R. Neves; Arnout C. C. Ruifrok; Flavio de Barros Vidal (CoRR, 2023)

Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model. - Cristiano Patrício; João C. Neves 001 (Expert Syst. Appl., 2023)

CFC-ATE: Causal Feature Construction via Average Treatment Effect. - Asmae Lamsaf; Hugo Proença 001; João C. Neves 001 (ICMLA, 2024)

Towards Concept-Based Interpretability of Skin Lesion Diagnosis Using Vision-Language Models. - Cristiano Patrício; Luís F. Teixeira 001; João C. Neves 001 (ISBI, 2024)

Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-Resolution. - Marcelo dos Santos; Rayson Laroca; Rafael O. Ribeiro; João C. Neves 001; David Menotti (SIBGRAPI, 2024)

A Multilevel Strategy to Improve People Tracking in a Real-World Scenario. - Cristiano B. de Oliveira; João C. Neves 001; Rafael O. Ribeiro; David Menotti (VISIGRAPP (4): VISAPP, 2024)

Defying Limits: Super-Resolution Refinement with Diffusion Guidance. - Marcelo dos Santos; João C. R. Neves; Hugo Proença 001; David Menotti (VISIGRAPP (4): VISAPP, 2024)

Unsupervised Contrastive Analysis for Salient Pattern Detection using Conditional Diffusion Models. - Cristiano Patrício; Carlo Alberto Barbano; Attilio Fiandrotti; Riccardo Renzulli; Marco Grangetto; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2024)

A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning. - Hamed Gholipour; Farid Bozorgnia; Kailash Hambarde; Hamzeh Mohammadigheymasi; Javier Mancilla; Andre Sequeira; João Neves 002; Hugo Proença 001 (CoRR, 2024)

A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis. - Cristiano Patrício; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2024)

Explainable Deep Learning Methods in Medical Image Classification: A Survey. - Cristiano Patrício; João C. Neves 001; Luís F. Teixeira 001 (ACM Comput. Surv., 2024)

Causal-SHAP: Feature Selection with Explainability and Causal Analysis. - Asmae Lamsaf; Pranita Samale; João Neves 002 (IbPRIA, 2025)

Synthesizing multilevel abstraction ear sketches for enhanced biometric recognition. - David Freire-Obregón; João Neves 002; Ziga Emersic; Blaz Meden; Modesto Castrillón Santana; Hugo Proença 001 (Image Vis. Comput., 2025)

CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification. - Cristiano Patrício; Isabel Rio-Torto; Jaime S. Cardoso 001; Luís F. Teixeira 001; João C. Neves 001 (CoRR, 2025)

A Laplacian-based quantum graph neural networks for quantum semi-supervised learning. - Hamed Gholipour; Farid Bozorgnia; Kailash Hambarde; Hamzeh Mohammadigheymasi; Javier Mancilla; Andre Sequeira; João C. Neves 001; Hugo Proença 001; Moharram Challenger (Quantum Inf. Process., 2025)

Bias Analysis for Synthetic Face Detection: A Case Study of the Impact of Facial Attributes. - Asmae Lamsaf; Lucia Cascone; Hugo Proença 001; João Neves 002 (CoRR, 2025)