João C. Neves

According to our database, João C. Neves authored at least 53 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Bias Analysis for Synthetic Face Detection: A Case Study of the Impact of Facial Attributes.

Asmae Lamsaf, Lucia Cascone, Hugo Proença, João Neves

CoRR, July, 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, Hugo Proença, Moharram Challenger

Quantum Inf. Process., April, 2025

Synthesizing multilevel abstraction ear sketches for enhanced biometric recognition.

David Freire-Obregón, João Neves, Ziga Emersic, Blaz Meden, Modesto Castrillón Santana, Hugo Proença

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, Luís F. Teixeira, João Neves

Comput. Biol. Medicine, 2025

Causal-SHAP: Feature Selection with Explainability and Causal Analysis.

Asmae Lamsaf, Pranita Samale, João Neves

Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 2025

2024

Explainable Deep Learning Methods in Medical Image Classification: A Survey.

Cristiano Patrício, João C. Neves, Luís F. Teixeira

ACM Comput. Surv., April, 2024

A Two-Step Concept-Based Approach for Enhanced Interpretability and Trust in Skin Lesion Diagnosis.

Cristiano Patrício, Luís F. Teixeira, João C. Neves

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, Hugo Proença

CoRR, 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, João C. Neves

CoRR, 2024

Defying Limits: Super-Resolution Refinement with Diffusion Guidance.

Marcelo dos Santos, João C. R. Neves, Hugo Proença, David Menotti

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

A Multilevel Strategy to Improve People Tracking in a Real-World Scenario.

Cristiano B. de Oliveira, João C. Neves, Rafael O. Ribeiro, David Menotti

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-Resolution.

Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João C. Neves, David Menotti

Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

Towards Concept-Based Interpretability of Skin Lesion Diagnosis Using Vision-Language Models.

Cristiano Patrício, Luís F. Teixeira, João C. Neves

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

CFC-ATE: Causal Feature Construction via Average Treatment Effect.

Asmae Lamsaf, Hugo Proença, João C. Neves

Proceedings of the International Conference on Machine Learning and Applications, 2024

2023

Zero-shot face recognition: Improving the discriminability of visual face features using a Semantic-Guided Attention Model.

Cristiano Patrício, João C. Neves

Expert Syst. Appl., 2023

Embedding Aggregation for Forensic Facial Comparison.

Rafael Oliveira Ribeiro, João C. R. Neves, Arnout C. C. Ruifrok, Flavio de Barros Vidal

CoRR, 2023

Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis.

Cristiano Patrício, João C. Neves, Luís F. Teixeira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

WildFruiP: Estimating Fruit Physicochemical Parameters from Images Captured in the Wild.

Diogo J. Paulo, Cláudia M. B. Neves, Dulcineia Ferreira Wessel, João C. Neves

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022

Explainable Deep Learning Methods in Medical Diagnosis: A Survey.

Cristiano Patrício, João C. Neves, Luís F. Teixeira

CoRR, 2022

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis.

Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Face Super-Resolution Using Stochastic Differential Equations.

Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João Neves, Hugo Proença, David Menotti

Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022

2021

ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices.

Cristiano Patrício, João C. Neves

Proceedings of the 17th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2021

2020

GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection.

João C. Neves, Ruben Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença, Julian Fiérrez

IEEE J. Sel. Top. Signal Process., 2020

An attention-based deep learning model for multiple pedestrian attributes recognition.

Ehsan Yaghoubi, Diana Borza, João Neves, Aruna Kumar, Hugo Proença

Image Vis. Comput., 2020

All-in-one "HairNet": A Deep Neural Model for Joint Hair Segmentation and Characterization.

Diana Borza, Ehsan Yaghoubi, João Neves, Hugo Proença

Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

2019

A Reminiscence of "Mastermind": Iris/Periocular Biometrics by "In-Set" CNN Iterative Analysis.

Hugo Proença, João C. Neves

IEEE Trans. Inf. Forensics Secur., 2019

"A Leopard Cannot Change Its Spots": Improving Face Recognition Using 3D-Based Caricatures.

João Neves, Hugo Proença

IEEE Trans. Inf. Forensics Secur., 2019

Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems.

João Neves, Ruben Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença

CoRR, 2019

FaceGenderID: Exploiting Gender Information in DCNNs Face Recognition Systems.

Rubén Vera-Rodríguez, Marta Blázquez, Aythami Morales, Ester Gonzalez-Sosa, João C. Neves, Hugo Proença

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Segmentation-Less and Non-Holistic Deep-Learning Frameworks for Iris Recognition.

Hugo Proença, João C. Neves

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Region-Based CNNs for Pedestrian Gender Recognition in Visual Surveillance Environments.

Ehsan Yaghoubi, Pendar Alirezazadeh, Eduardo Assunção, João C. Neves, Hugo Proença

Proceedings of the 2019 International Conference of the Biometrics Special Interest Group, 2019

Pose Switch-based Convolutional Neural Network for Clothing Analysis in Visual Surveillance Environment.

Pendar Alirezazadeh, Ehsan Yaghoubi, Eduardo Assunção, João C. Neves, Hugo Proença

Proceedings of the 2019 International Conference of the Biometrics Special Interest Group, 2019

2018

Deep-PRWIS: Periocular Recognition Without the Iris and Sclera Using Deep Learning Frameworks.

Hugo Proença, João C. Neves

IEEE Trans. Inf. Forensics Secur., 2018

QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios.

João Neves, Juan Carlos Moreno, Hugo Proença

IET Biom., 2018

Biometric Recognition in Surveillance Environments Using Master-Slave Architectures.

Hugo Proença, João C. Neves

Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018

2017

Soft Biometrics: Globally Coherent Solutions for Hair Segmentation and Style Recognition Based on Hierarchical MRFs.

Hugo Proença, João C. Neves

IEEE Trans. Inf. Forensics Secur., 2017

Fusing Vantage Point Trees and Linear Discriminants for Fast Feature Classification.

Hugo Proença, João C. Neves

J. Classif., 2017

Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments.

João Neves, Hugo Proença

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

IRINA: Iris Recognition (Even) in Inaccurately Segmented Data.

Hugo Proença, João C. Neves

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Joint Head Pose/Soft Label Estimation for Human Recognition In-The-Wild.

Hugo Proença, João C. Neves, Silvio Barra, Tiago Marques, Juan Carlos Moreno

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Visible-wavelength iris/periocular imaging and recognition surveillance environments.

Hugo Proença, João C. Neves

Image Vis. Comput., 2016

Biometric recognition in surveillance scenarios: a survey.

João C. Neves, Fabio Narducci, Silvio Barra, Hugo Proença

Artif. Intell. Rev., 2016

ICB-RW 2016: International challenge on biometric recognition in the wild.

João C. Neves, Hugo Proença

Proceedings of the International Conference on Biometrics, 2016

2015

Face recognition: handling data misalignments implicitly by fusion of sparse representations.

Hugo Proença, João Neves, Juan Carlos Briceño

IET Comput. Vis., 2015

Do we need a perfect ground-truth for benchmarking Internet traffic classifiers?

Maria Rosário de Oliveira, João Neves, Rui Valadas, Paulo Salvador

Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments.

João C. Neves, Gil Melfe Mateus Santos, Sílvio Filipe, Emanuel Grancho, Silvio Barra, Fabio Narducci, Hugo Proença

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2015 Workshops, 2015

A Calibration Algorithm for Multi-camera Visual Surveillance Systems Based on Single-View Metrology.

João C. Neves, Juan Carlos Moreno, Silvio Barra, Hugo Proença

Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Acquiring high-resolution face images in outdoor environments: A master-slave calibration algorithm.

João C. Neves, Juan Carlos Moreno, Silvio Barra, Hugo Proença

Proceedings of the IEEE 7th International Conference on Biometrics Theory, 2015

Dynamic camera scheduling for visual surveillance in crowded scenes using Markov random fields.

João C. Neves, Hugo Proença

Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015

2014

Evaluation of human silhouette detection methods for a non-cooperative biometric system.

Damian Kacperski, Michal Wlodarczyk, Kamil Grabowski, João Neves

Proceedings of the 21st International Conference Mixed Design of Integrated Circuits and Systems, 2014

Segmenting the periocular region using a hierarchical graphical model fed by texture / shape information and geometrical constraints.

Hugo Proença, João C. Neves, Gil Melfe Mateus Santos

Proceedings of the IEEE International Joint Conference on Biometrics, Clearwater, 2014

2013

Automatic Annotation of Leishmania Infections in Fluorescence Microscopy Images.

João C. Neves, Helena Castro, Hugo Proença, Miguel T. Coimbra

Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013

2011

FTP@VDTN - A file transfer application for Vehicular Delay-Tolerant Networks.

João N. Isento, João A. Dias, João C. Neves, Vasco N. G. J. Soares, Joel J. P. C. Rodrigues, António Manuel Duarte Nogueira, Paulo Salvador

Proceedings of EUROCON 2011, 2011