João Neves - RankMe

24 papers A* 1A 1B 2Misc 2Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FD-MAD: Frequency-Domain Residual Analysis for Face Morphing Attack Detection. CoRR Diogo J. Paulo, Hugo Proença, João Neves
2026	J	`jnl`	Unsupervised contrastive analysis for anomaly detection in brain MRIs via conditional diffusion models. Pattern Recognit. Lett. Cristiano Patrício, Carlo Alberto Barbano, Attilio Fiandrotti, Riccardo Renzulli, Marco Grangetto, Luís F. Teixeira, João Neves
2025	Misc	`conf`	Assessing Cross-Device Generalization in Remote Sensing Image Super-Resolution. IbPRIA Afonso Martins, Ana Dias, Francisco Silva, André Sá, Machiel Bos, João Neves
2025	J	`jnl`	Bias Analysis for Synthetic Face Detection: A Case Study of the Impact of Facial Attributes. CoRR Asmae Lamsaf, Lucia Cascone, Hugo Proença, João Neves
2025	J	`jnl`	CBVLM: Training-free explainable concept-based Large Vision Language Models for medical image classification. Comput. Biol. Medicine Cristiano Patrício, Isabel Rio-Torto, Jaime S. Cardoso, Luís F. Teixeira, João Neves
2025	Misc	`conf`	Causal-SHAP: Feature Selection with Explainability and Causal Analysis. IbPRIA Asmae Lamsaf, Pranita Samale, João Neves
2025	J	`jnl`	Synthesizing multilevel abstraction ear sketches for enhanced biometric recognition. Image Vis. Comput. David Freire-Obregón, João Neves, Ziga Emersic, Blaz Meden, Modesto Castrillón Santana, Hugo Proença
2025	J	`jnl`	ViConEx-Med: Visual Concept Explainability via Multi-Concept Token Transformer for Medical Image Analysis. CoRR Cristiano Patrício, Luís F. Teixeira, João Neves
2024	J	`jnl`	A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning. CoRR Hamed Gholipour, Farid Bozorgnia, Kailash Hambarde, Hamzeh Mohammadigheymasi, Javier Mancilla, Andre Sequeira, João Neves, Hugo Proença
2022	—	`conf`	Face Super-Resolution Using Stochastic Differential Equations. SIBGRAPI Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João Neves, Hugo Proença, David Menotti
2022	J	`jnl`	Face Super-Resolution Using Stochastic Differential Equations. CoRR Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro, João Neves, Hugo Proença, David Menotti
2022	A	`conf`	Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. WACV Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença
2021	J	`jnl`	Generative Adversarial Graph Convolutional Networks for Human Action Synthesis. CoRR Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi, Hugo Proença
2021	J	`jnl`	ZSpeedL - Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices. CoRR Cristiano Patrício, João Neves
2020	B	`conf`	All-in-one "HairNet": A Deep Neural Model for Joint Hair Segmentation and Characterization. IJCB Diana Borza, Ehsan Yaghoubi, João Neves, Hugo Proença
2020	J	`jnl`	An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition. CoRR Ehsan Yaghoubi, Diana Borza, João Neves, Aruna Kumar, Hugo Proença
2020	J	`jnl`	An attention-based deep learning model for multiple pedestrian attributes recognition. Image Vis. Comput. Ehsan Yaghoubi, Diana Borza, João Neves, Aruna Kumar, Hugo Proença
2019	J	`jnl`	"A Leopard Cannot Change Its Spots": Improving Face Recognition Using 3D-Based Caricatures. IEEE Trans. Inf. Forensics Secur. João Neves, Hugo Proença
2019	J	`jnl`	Real or Fake? Spoofing State-Of-The-Art Face Synthesis Detection Systems. CoRR João Neves, Ruben Tolosana, Rubén Vera-Rodríguez, Vasco Lopes, Hugo Proença
2018	J	`jnl`	QUIS-CAMPI: an annotated multi-biometrics data feed from surveillance scenarios. IET Biom. João Neves, Juan Carlos Moreno, Hugo Proença
2017	B	`conf`	Exploiting Data Redundancy for Error Detection in Degraded Biometric Signatures Resulting From in the Wild Environments. FG João Neves, Hugo Proença
2015	A*	`conf`	Do we need a perfect ground-truth for benchmarking Internet traffic classifiers? INFOCOM Maria Rosário de Oliveira, João Neves, Rui Valadas, Paulo Salvador
2015	J	`jnl`	Face recognition: handling data misalignments implicitly by fusion of sparse representations. IET Comput. Vis. Hugo Proença, João Neves, Juan Carlos Briceño
2014	—	`conf`	Evaluation of human silhouette detection methods for a non-cooperative biometric system. MIXDES Damian Kacperski, Michal Wlodarczyk, Kamil Grabowski, João Neves