Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Mourchid, Youssef"'
Autor:
Abouelaziz, Ilyass, Mourchid, Youssef
This paper presents a framework to address the challenges involved in building point cloud cleaning, plane detection, and semantic segmentation, with the ultimate goal of enhancing building modeling. We focus in the cleaning stage on removing outlier
Externí odkaz:
http://arxiv.org/abs/2402.00692
Falls among individuals, especially the elderly population, can lead to serious injuries and complications. Detecting impact moments within a fall event is crucial for providing timely assistance and minimizing the negative consequences. In this work
Externí odkaz:
http://arxiv.org/abs/2401.05407
Autor:
Mourchid, Youssef, Slama, Rim
This paper tackles the challenge of automatically assessing physical rehabilitation exercises for patients who perform the exercises without clinician supervision. The objective is to provide a quality score to ensure correct performance and achieve
Externí odkaz:
http://arxiv.org/abs/2401.06150
Autor:
Mourchid, Youssef, Slama, Rim
Accurate assessment of patient actions plays a crucial role in healthcare as it contributes significantly to disease progression monitoring and treatment effectiveness. However, traditional approaches to assess patient actions often rely on manual ob
Externí odkaz:
http://arxiv.org/abs/2312.13509
This paper addresses the automatic colorization problem, which converts a gray-scale image to a colorized one. Recent deep-learning approaches can colorize automatically grayscale images. However, when it comes to different scenes which contain disti
Externí odkaz:
http://arxiv.org/abs/2312.13506
Autor:
Mourchid, Youssef, Renoust, Benjamin, Roupin, Olivier, Van, Le, Cherifi, Hocine, Hassouni, Mohammed El
Discovering content and stories in movies is one of the most important concepts in multimedia content research studies. Network models have proven to be an efficient choice for this purpose. When an audience watches a movie, they usually compare the
Externí odkaz:
http://arxiv.org/abs/1910.09368
Publikováno v:
Multimedia Tools and Applications (2019)
With the recent advances in complex networks theory, graph-based techniques for image segmentation has attracted great attention recently. In order to segment the image into meaningful connected components, this paper proposes an image segmentation g
Externí odkaz:
http://arxiv.org/abs/1907.05278
Network models have been increasingly used in the past years to support summarization and analysis of narratives, such as famous TV series, books and news. Inspired by social network analysis, most of these models focus on the characters at play. The
Externí odkaz:
http://arxiv.org/abs/1812.05718
Autor:
Chekroun, Mohammed1 (AUTHOR) chekrouoss@gmail.com, Mourchid, Youssef1 (AUTHOR) ymourchid@cesi.fr, Bessières, Igor2 (AUTHOR) ibessieres@cgfl.fr, Lalande, Alain3,4 (AUTHOR) alain.lalande@u-bourgogne.fr
Publikováno v:
Algorithms. Dec2023, Vol. 16 Issue 12, p564. 16p.
Publikováno v:
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2020), Virtual Conference, September 14-18, 2020.
Machine Learning for Earth Observation Workshop (ECML/PKDD 2020)
Machine Learning for Earth Observation Workshop (ECML/PKDD 2020), Sep 2020, Ghent (virtual ), Belgium
Machine Learning for Earth Observation Workshop (ECML/PKDD 2020)
Machine Learning for Earth Observation Workshop (ECML/PKDD 2020), Sep 2020, Ghent (virtual ), Belgium
International audience; In this paper, we introduce a new generative adversarial network (GAN) with dual image-color discriminators, to predict Artificial-SAR colorized images from SAR ones (Sentinel-1). Based on the conventional architecture of GANs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::634069098bce69f65141458d7a0108c1
https://hal.archives-ouvertes.fr/hal-03164190
https://hal.archives-ouvertes.fr/hal-03164190