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20212026
most citedFace Super-Resolution Using Stochastic Differential Equations

12 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results

Kailash A. Hambarde, Hugo Proença, Md Rashidunnabi +18

Person re-identification (ReID) across aerial and ground views at extreme far distances introduces a distinct operating regime where severe resolution degradation, extreme viewpoin…

cs.CV2022★ 8 cited

Deep Learning for Iris Recognition: A Survey

Kien Nguyen, Hugo Proença, Fernando Alonso-Fernandez

In this survey, we provide a comprehensive review of more than 200 papers, technical reports, and GitHub repositories published over the last 10 years on the recent developments of…

cs.CV2022★ 12 cited

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…

cs.CV2021

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…

cs.CV2021

REGINA - Reasoning Graph Convolutional Networks in Human Action Recognition

Bruno Degardin, Vasco Lopes, Hugo Proença

It is known that the kinematics of the human body skeleton reveals valuable information in action recognition. Recently, modeling skeletons as spatio-temporal graphs with Graph Con…