Zobrazeno 1 - 10
of 235
pro vyhledávání: '"Boulahbal A."'
Autor:
Boulahbal, Houssem
Perception of the environment is a critical component for enabling autonomous driving. It provides the vehicle with the ability to comprehend its surroundings and make informed decisions. Depth prediction plays a pivotal role in this process, as it h
Externí odkaz:
http://arxiv.org/abs/2403.06194
In this paper, a self-supervised model that simultaneously predicts a sequence of future frames from video-input with a novel spatial-temporal attention (ST) network is proposed. The ST transformer network allows constraining both temporal consistenc
Externí odkaz:
http://arxiv.org/abs/2303.01196
Publikováno v:
Parasite, Vol 14, Iss 3, Pp 253-256 (2007)
L’inventaire quantitatif des ectoparasites a été réalisé pour la première fois chez la Foulque macroule (N = 17), Fulica atra, au niveau du lac Tonga, en Algérie, durant la saison d’hivernage (2004-2005). Les résultats ont montré que les
Externí odkaz:
https://doaj.org/article/8abc300dec924be59789c1c85c34314c
This paper addresses the problem of end-to-end self-supervised forecasting of depth and ego motion. Given a sequence of raw images, the aim is to forecast both the geometry and ego-motion using a self supervised photometric loss. The architecture is
Externí odkaz:
http://arxiv.org/abs/2206.07435
Autor:
Boulahbal, A.I., Santamaría, L., Bourzami, R., Bendrihem, A.S., Boutahala, M., Korili, S.A., Gil, A.
Publikováno v:
In Minerals Engineering December 2024 219
This paper proposes a self-supervised monocular image-to-depth prediction framework that is trained with an end-to-end photometric loss that handles not only 6-DOF camera motion but also 6-DOF moving object instances. Self-supervision is performed by
Externí odkaz:
http://arxiv.org/abs/2203.00809
Autor:
Chaima, Hechaichi, Eddine, Bounoukta Charf, Faouzia, Benamraoui, Rana, Houchet, Aymene Salah, Bendrihem, Gil, Antonio, Imene, Boulahbal-Aziza, Ferhat, Djerboua, Riadh, Bourzami, Mokhtar, Boutahala
Publikováno v:
In Journal of Molecular Liquids 15 August 2024 408
Autor:
Martinez, Leonardo, Seddon, James, Liu, Qiao, Acuna Villaorduna, Carlos, Bonnet, Maryline, Carvalho, Anna Cristina C., Chan, Pei-Chun, Hill, Philip C, Lopez-Varela, Elisa, Donkor, Simon, Graham, Stephen M., Villalba, Julian A., Grandjean, Louis, Zellweger, Jean-Pierre, Wang, Jann-Yuan, Verhagen, Lilly M, van Schalkwykn, Cari, van der Loeff, Maarten F Schim, Sloot, Rosa, Trieu, Lisa, Ahuja, Shama Desai, Yoshiyama, Takashi, Mazahir, Rufaida, Martinsonn, Neil A, Jones-López, Edward C., Altet, Neus, Kato, Seiya, Fang, Chi-Tai, Geis, Steffen, Hauri, Anja, Long, Richard, Dobler, Claudia C, Cayla, Joan A, Chakhaia, Tsira, Chen, Cheng, García-Basteiro, Alberto L., Triasih, Rina, Huang, Li-Min, Sharma, Surendra, Hannoun, Djohar, Malone, LaShaunda L., Ling, Du-Lin, Kritski, Afrânio, Stein, Catherine M., Malik, Amyn A, Augusto, Orvalho, Vashishtha, Richa, Boulahbal, Fadila, Boom, W. Henry, Shen, Ye, Hesseling, Anneke C, Horsburgh, C. Robert, Lange, Christoph, Mandalakas, Anna M., Seddon, James A, Horsburgh, C Robert *, Mandalakas, Anna M *
Publikováno v:
In The Lancet Respiratory Medicine August 2024 12(8):633-641
This paper proposes two important contributions for conditional Generative Adversarial Networks (cGANs) to improve the wide variety of applications that exploit this architecture. The first main contribution is an analysis of cGANs to show that they
Externí odkaz:
http://arxiv.org/abs/2106.15011
Publikováno v:
In Journal of Photochemistry & Photobiology, A: Chemistry 1 January 2024 446