Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Sid Ahmed Fezza"'
Publikováno v:
IEEE Access, Vol 7, Pp 160397-160407 (2019)
Given their outstanding performance, the Deep Neural Networks (DNNs) models have been deployed in many real-world applications. However, recent studies have demonstrated that they are vulnerable to small carefully crafted perturbations, i.e., adversa
Externí odkaz:
https://doaj.org/article/ccf330a743dd4252a28c82c0c42ec956
Publikováno v:
Artificial Intelligence Review
Artificial Intelligence Review, 2022, 9 (6), pp.161269-161282. ⟨10.1007/s10462-021-10125-w⟩
Artificial Intelligence Review, 2022, 9 (6), pp.161269-161282. ⟨10.1007/s10462-021-10125-w⟩
Deep learning (DL) has shown great success in many human-related tasks, which has led to its adoption in many computer vision based applications, such as security surveillance systems, autonomous vehicles and healthcare. Such safety-critical applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e91f0260a143f4e6f61b729bcce556a3
https://doi.org/10.1007/s10462-021-10125-w
https://doi.org/10.1007/s10462-021-10125-w
Publikováno v:
Picture Coding Symposium (PCS)
Picture Coding Symposium (PCS), Dec 2022, San Jose, United States. ⟨10.1109/PCS56426.2022.10018038⟩
Picture Coding Symposium (PCS), Dec 2022, San Jose, United States. ⟨10.1109/PCS56426.2022.10018038⟩
International audience; HTTP adaptive streaming (HAS) is increasingly adopted by over-the-top (OTT)-based video streaming services, it allows clients to dynamically switch among various stream representations. Each of these representations is encoded
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4744c7689cc4c594dc07d9ce7c351d87
https://hal.science/hal-04011000
https://hal.science/hal-04011000
Autor:
Bachir Kaddar, Sid Ahmed Fezza, Wassim Hamidouche, Zahid Akhtar, Abdenour hadid, Joan Serra-Sagristà, Miguel Hernández-Cabronero, Victor Sanchez
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49cebe58a033524db229a9fc1df62157
https://doi.org/10.2139/ssrn.4264037
https://doi.org/10.2139/ssrn.4264037
Publikováno v:
2021 International Conference on Visual Communications and Image Processing (VCIP)
2021 International Conference on Visual Communications and Image Processing (VCIP), Dec 2021, Munich, Germany. pp.1-5, ⟨10.1109/VCIP53242.2021.9675402⟩
2021 International Conference on Visual Communications and Image Processing (VCIP), Dec 2021, Munich, Germany. pp.1-5, ⟨10.1109/VCIP53242.2021.9675402⟩
International audience; The number of new falsified video contents is dramatically increasing, making the need to develop effective deepfake detection methods more urgent than ever. Even though many existing deepfake detection approaches show promisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aef226193980132d7070ed0b62177b3
https://doi.org/10.1109/vcip53242.2021.9675402
https://doi.org/10.1109/vcip53242.2021.9675402
Publikováno v:
Neural Computing and Applications
Neural Computing and Applications, Springer Verlag, 2021, ⟨10.1007/s00521-021-06330-x⟩
Neural Computing and Applications, 2022, 34 (24), pp.21567-21582. ⟨10.1007/s00521-021-06330-x⟩
Neural Computing and Applications, Springer Verlag, 2021, ⟨10.1007/s00521-021-06330-x⟩
Neural Computing and Applications, 2022, 34 (24), pp.21567-21582. ⟨10.1007/s00521-021-06330-x⟩
Despite the enormous performance of deep neural networks (DNNs), recent studies have shown their vulnerability to adversarial examples (AEs), i.e., carefully perturbed inputs designed to fool the targeted DNN. Currently, the literature is rich with m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c912ea74e626e58201ffea1051812304
http://arxiv.org/abs/2107.05780
http://arxiv.org/abs/2107.05780
Publikováno v:
9th European Workshop on Visual Information Processing (EUVIP)
9th European Workshop on Visual Information Processing (EUVIP), Jun 2021, Paris, France. ⟨10.1109/EUVIP50544.2021.9483966⟩
EUVIP
9th European Workshop on Visual Information Processing (EUVIP), Jun 2021, Paris, France. ⟨10.1109/EUVIP50544.2021.9483966⟩
EUVIP
International audience; Encryption has became an indispensable technique for image/video-based applications. This has led to the development of many image encryption algorithms, such as perceptual/selective encryption methods which represent an effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ced4a97de21feab007b1fdabafc81922
https://hal.science/hal-03714542
https://hal.science/hal-03714542
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2021, Nashville, United States. ⟨10.1109/CVPRW53098.2021.00066⟩
CVPR Workshops
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2021, Nashville, United States. ⟨10.1109/CVPRW53098.2021.00066⟩
CVPR Workshops
Multimedia services are constantly trying to deliver better image quality to users. To meet this need, they must have an effective and reliable tool to assess the perceptual image quality. This is particularly true for image restoration (IR) algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c82a513bbdae81a3e75a9ee612a647b3
https://hal.archives-ouvertes.fr/hal-03464439
https://hal.archives-ouvertes.fr/hal-03464439
Autor:
Wassim Hamidouche, Byungyeon Kang, Shuwei Shi, Yujiu Yang, Junlin Li, Pengfei Sun, Jose Costa Pereira, Kele Xu, Hiroaki Akutsu, Hai Wang, Koki Tsubota, Yiting Liao, William Thong, Hengliang Luo, Longtao Feng, Jingyu Guo, Yuqing Hou, Yu Qiao, Sung-Jun Yoon, Jimmy Ren, Tao Zhang, Yang Li, Bin Yi, Yifan Chen, Jinjin Gu, Ali Royat, Steven McDonagh, Shuhang Gu, Junwoo Lee, Kiyoharu Aizawa, Lehan Yang, Sewoong Ahn, Weihao Xia, Qingyan Bai, Haiyang Guo, Zirui Wang, Mingdeng Cao, Qing Zhang, Jiahao Wang, Wenming Yang, Sid Ahmed Fezza, Haoming Cai, Dounia Hammou, Ales Leonardis, Radu Timofte, Hengxing Cai, Manri Cheon, Seyed Mehdi Ayyoubzadeh, Chao Dong, Gwangjin Yoon
Publikováno v:
CVPR Workshops
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing techno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3cd2eb5a3a1d660da7fb6cd6f60817a6
https://doi.org/10.1109/cvprw53098.2021.00077
https://doi.org/10.1109/cvprw53098.2021.00077
Publikováno v:
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2021, ⟨10.1109/TMM.2021.3068563⟩
IEEE Transactions on Multimedia, 2021, ⟨10.1109/TMM.2021.3068563⟩
IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2021, 23, pp.2972-2985. ⟨10.1109/TMM.2021.3068563⟩
IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2021, ⟨10.1109/TMM.2021.3068563⟩
IEEE Transactions on Multimedia, 2021, ⟨10.1109/TMM.2021.3068563⟩
IEEE Transactions on Multimedia, Institute of Electrical and Electronics Engineers, 2021, 23, pp.2972-2985. ⟨10.1109/TMM.2021.3068563⟩
Light field (LF) technology is considered as a promising way for providing a high-quality virtual reality (VR) content. However, such an imaging technology produces a large amount of data requiring efficient LF image compression solutions. In this pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1a74cfa42c7c6d6708e3bcb2fa093a5
https://hal.archives-ouvertes.fr/hal-03268731
https://hal.archives-ouvertes.fr/hal-03268731