12 citations · 14 across the 6 of their papers we have counts for
7 papers
From Adults to Children: Benchmarking Foundation Models for Chest X-Ray Classification under Domain Shift
Sara Inácio, Hugo Proença, João C. Neves
Foundation models have shown significant potential across diverse fields and have been applied to medical imaging, but their robustness across patient populations remains unclear.…
Seeing Across Time and Views: Multi-Temporal Cross-View Learning for Robust Video Person Re-Identification
Md Rashidunnabi, Kailash A. Hambarde, Vasco Lopes +2
Video-based person re-identification (ReID) in cross-view domains (for example, aerial-ground surveillance) remains an open problem because of extreme viewpoint shifts, scale dispa…
Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis
Cristiano Patrício, João C. Neves, Luís F. Teixeira
Early detection of melanoma is crucial for preventing severe complications and increasing the chances of successful treatment. Existing deep learning approaches for melanoma skin l…
Face Super-Resolution Using Stochastic Differential Equations
Marcelo dos Santos, Rayson Laroca, Rafael O. Ribeiro +3
Diffusion models have proven effective for various applications such as images, audio and graph generation. Other important applications are image super-resolution and the solution…
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
Bruno Degardin, João Neves, Vasco Lopes +3
Synthesising the spatial and temporal dynamics of the human body skeleton remains a challenging task, not only in terms of the quality of the generated shapes, but also of their di…
ZSpeedL -- Evaluating the Performance of Zero-Shot Learning Methods using Low-Power Devices
Cristiano Patrício, João Neves
The recognition of unseen objects from a semantic representation or textual description, usually denoted as zero-shot learning, is more prone to be used in real-world scenarios whe…
An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition
Ehsan Yaghoubi, Diana Borza, João Neves +2
The automatic characterization of pedestrians in surveillance footage is a tough challenge, particularly when the data is extremely diverse with cluttered backgrounds, and subjects…