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20172025
most citedFace Aging With Conditional Generative Adversarial Networks

44 citations · 56 across the 6 of their papers we have counts for

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cs.CV2025★ 1 cited

Event-based Solutions for Human-centered Applications: A Comprehensive Review

Mira Adra, Simone Melcarne, Nelida Mirabet-Herranz +1

Event cameras, often referred to as dynamic vision sensors, are groundbreaking sensors capable of capturing changes in light intensity asynchronously, offering exceptional temporal…

cs.CV2022★ 1 cited

Generalizing Adversarial Explanations with Grad-CAM

Tanmay Chakraborty, Utkarsh Trehan, Khawla Mallat +1

Gradient-weighted Class Activation Mapping (Grad- CAM), is an example-based explanation method that provides a gradient activation heat map as an explanation for Convolution Neural…

cs.CV2021

Does Melania Trump have a body double from the perspective of automatic face recognition?

Khawla Mallat, Fabiola Becerra-Riera, Annette Morales-González +2

In this paper, we explore whether automatic face recognition can help in verifying widespread misinformation on social media, particularly conspiracy theories that are based on the…

cs.CV2020

Multi-spectral Facial Landmark Detection

Jin Keong, Xingbo Dong, Zhe Jin +2

Thermal face image analysis is favorable for certain circumstances. For example, illumination-sensitive applications, like nighttime surveillance; and privacy-preserving demanded a…

cs.CV2019★ 10 cited

Cascaded Generation of High-quality Color Visible Face Images from Thermal Captures

Naser Damer, Fadi Boutros, Khawla Mallat +3

Generating visible-like face images from thermal images is essential to perform manual and automatic cross-spectrum face recognition. We successfully propose a solution based on ca…

cs.CV2017★ 44 cited

Face Aging With Conditional Generative Adversarial Networks

Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay

It has been recently shown that Generative Adversarial Networks (GANs) can produce synthetic images of exceptional visual fidelity. In this work, we propose the GAN-based method fo…