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20192025
most citedOvercoming Occlusions in the Wild: A Multi-Task Age Head Approach to Age Estimation

4 citations · 12 across the 11 of their papers we have counts for

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cs.CV2025★ 4 cited

Overcoming Occlusions in the Wild: A Multi-Task Age Head Approach to Age Estimation

Waqar Tanveer, Laura Fernández-Robles, Eduardo Fidalgo +2

Facial age estimation has achieved considerable success under controlled conditions. However, in unconstrained real-world scenarios, which are often referred to as 'in the wild', a…

cs.CV2025

Underage Detection through a Multi-Task and MultiAge Approach for Screening Minors in Unconstrained Imagery

Christopher Gaul, Eduardo Fidalgo, Enrique Alegre +2

Accurate automatic screening of minors in unconstrained images requires models robust to distribution shift and resilient to the under-representation of children in public datasets…

cs.CV2024

PushPull-Net: Inhibition-driven ResNet robust to image corruptions

Guru Swaroop Bennabhaktula, Enrique Alegre, Nicola Strisciuglio +1

We introduce a novel computational unit, termed PushPull-Conv, in the first layer of a ResNet architecture, inspired by the anti-phase inhibition phenomenon observed in the primary…

cs.CV2020

Video Camera Identification from Sensor Pattern Noise with a Constrained ConvNet

Derrick Timmerman, Swaroop Bennabhaktula, Enrique Alegre +1

The identification of source cameras from videos, though it is a highly relevant forensic analysis topic, has been studied much less than its counterpart that uses images. In this…

cs.CV2020

Classification of Industrial Control Systems screenshots using Transfer Learning

Pablo Blanco Medina, Eduardo Fidalgo Fernandez, Enrique Alegre +3

Industrial Control Systems depend heavily on security and monitoring protocols. Several tools are available for this purpose, which scout vulnerabilities and take screenshots from…