Zobrazeno 1 - 10
of 1 373
pro vyhledávání: '"A. Hamidouche"'
Autor:
Keita, Mamadou, Hamidouche, Wassim, Bougueffa, Hassen, Hadid, Abdenour, Taleb-Ahmed, Abdelmalik
In recent years, the emergence of models capable of generating images from text has attracted considerable interest, offering the possibility of creating realistic images from text descriptions. Yet these advances have also raised concerns about the
Externí odkaz:
http://arxiv.org/abs/2404.02726
Autor:
Keita, Mamadou, Hamidouche, Wassim, Eutamene, Hessen Bougueffa, Hadid, Abdenour, Taleb-Ahmed, Abdelmalik
Advancements in deep image synthesis techniques, such as generative adversarial networks (GANs) and diffusion models (DMs), have ushered in an era of generating highly realistic images. While this technological progress has captured significant inter
Externí odkaz:
http://arxiv.org/abs/2404.01959
Autor:
Sehad, Nassim, Bariah, Lina, Hamidouche, Wassim, Hellaoui, Hamed, Jäntti, Riku, Debbah, Mérouane
Over the past two decades, the Internet-of-Things (IoT) has been a transformative concept, and as we approach 2030, a new paradigm known as the Internet of Senses (IoS) is emerging. Unlike conventional Virtual Reality (VR), IoS seeks to provide multi
Externí odkaz:
http://arxiv.org/abs/2404.01713
As more devices connect to the internet, it becomes crucial to address their limitations and basic security needs. While much research focuses on utilizing ML and DL to tackle security challenges, there is often a tendency to overlook the practicalit
Externí odkaz:
http://arxiv.org/abs/2403.15078
Omnidirectional or 360-degree video is being increasingly deployed, largely due to the latest advancements in immersive virtual reality (VR) and extended reality (XR) technology. However, the adoption of these videos in streaming encounters challenge
Externí odkaz:
http://arxiv.org/abs/2403.00604
Neural fields, also known as implicit neural representations (INRs), have shown a remarkable capability of representing, generating, and manipulating various data types, allowing for continuous data reconstruction at a low memory footprint. Though pr
Externí odkaz:
http://arxiv.org/abs/2402.18305
This work provides a comparative analysis illustrating how Deep Learning (DL) surpasses Machine Learning (ML) in addressing tasks within Internet of Things (IoT), such as attack classification and device-type identification. Our approach involves tra
Externí odkaz:
http://arxiv.org/abs/2312.00034
Autor:
Sharma, Mohit K., Liu, Chen-Feng, Farhat, Ibrahim, Sehad, Nassim, Hamidouche, Wassim, Debbah, Merouane
Over the past decade, the utilization of UAVs has witnessed significant growth, owing to their agility, rapid deployment, and maneuverability. In particular, the use of UAV-mounted 360-degree cameras to capture omnidirectional videos has enabled trul
Externí odkaz:
http://arxiv.org/abs/2311.00082
Autor:
Telili, Ahmed, Hamidouche, Wassim, Amirpour, Hadi, Fezza, Sid Ahmed, Morin, Luce, Timmerer, Christian
HTTP adaptive streaming (HAS) has emerged as a widely adopted approach for over-the-top (OTT) video streaming services, due to its ability to deliver a seamless streaming experience. A key component of HAS is the bitrate ladder, which provides the en
Externí odkaz:
http://arxiv.org/abs/2310.15163
In recent years, the proliferation of multimedia applications and formats, such as IPTV, Virtual Reality (VR, 360-degree), and point cloud videos, has presented new challenges to the video compression research community. Simultaneously, there has bee
Externí odkaz:
http://arxiv.org/abs/2310.13093