Zobrazeno 1 - 10
of 4 679
pro vyhledávání: '"Herault, A."'
Autor:
André, Adélie, Hoarau, Christophe, Boursier, Yannick, Cherni, Afef, Dupont, Mathieu, Martel, Laurent Gallin, Martel, Marie-Laure Gallin, Garnier, Alicia, Hérault, Joel, Hofverberg, Johan-Petter, Kavrigin, Pavel, Morel, Christian, Muraz, Jean-François, Pinson, Maxime, Tripodo, Giovanni, Maneval, Daniel, Marcatili, Sara
In the context of particle therapy monitoring, we are developing a gamma-ray detector to determine the ion range in vivo from the measurement of particle time-of-flight. For this application, a beam monitor capable to tag in time the incident ion wit
Externí odkaz:
http://arxiv.org/abs/2411.07877
Autor:
Mayet, Tsiry, Shamsolmoali, Pourya, Bernard, Simon, Granger, Eric, Hérault, Romain, Chatelain, Clement
Diffusion models have emerged as highly effective techniques for inpainting, however, they remain constrained by slow sampling rates. While recent advances have enhanced generation quality, they have also increased sampling time, thereby limiting sca
Externí odkaz:
http://arxiv.org/abs/2410.09306
Dissipative environments are ubiquitous in nature, from microscopic swimmers in low-Reynolds-number fluids to macroscopic animals in frictional media. In this study, motivated by various behaviours of {\it Caenorhabditis elegans} during swimming and
Externí odkaz:
http://arxiv.org/abs/2405.01802
Characterization of pixel crosstalk and impact of Bayer patterning by quantum efficiency measurement
Publikováno v:
IS&T/SPIE Electronic Imaging, SPIE, Jan 2011, San Francisco Airport, United States. pp.787613
Development of small pixels for high resolution image sensors implies a lot of challenges. A high level of performance should be guaranteed whereas the overall size must be reduced and so the degree of freedom in design and process. One key parameter
Externí odkaz:
http://arxiv.org/abs/2403.13404
Adversarial learning baselines for domain adaptation (DA) approaches in the context of semantic segmentation are under explored in semi-supervised framework. These baselines involve solely the available labeled target samples in the supervision loss.
Externí odkaz:
http://arxiv.org/abs/2312.07370
Autor:
Hofverberg, Petter, Bezerra, Francoise, Ruffenach, Marine, Hérault, Joêl, Mekki, Julien, Dufour, Arnaud, Trimaud, Richard
A 60 MeV proton beam-line has been developed in Nice, France, in collaboration with the Centre National d'Etudes Spatiales (CNES). Experimental results are presented here to validate the beam-line for radiation hardness testing.
Comment: RADECS
Comment: RADECS
Externí odkaz:
http://arxiv.org/abs/2310.12744
Domain-to-domain translation involves generating a target domain sample given a condition in the source domain. Most existing methods focus on fixed input and output domains, i.e. they only work for specific configurations (i.e. for two domains, eith
Externí odkaz:
http://arxiv.org/abs/2309.14394
Autor:
Cioppa, Anthony, Giancola, Silvio, Somers, Vladimir, Magera, Floriane, Zhou, Xin, Mkhallati, Hassan, Deliège, Adrien, Held, Jan, Hinojosa, Carlos, Mansourian, Amir M., Miralles, Pierre, Barnich, Olivier, De Vleeschouwer, Christophe, Alahi, Alexandre, Ghanem, Bernard, Van Droogenbroeck, Marc, Kamal, Abdullah, Maglo, Adrien, Clapés, Albert, Abdelaziz, Amr, Xarles, Artur, Orcesi, Astrid, Scott, Atom, Liu, Bin, Lim, Byoungkwon, Chen, Chen, Deuser, Fabian, Yan, Feng, Yu, Fufu, Shitrit, Gal, Wang, Guanshuo, Choi, Gyusik, Kim, Hankyul, Guo, Hao, Fahrudin, Hasby, Koguchi, Hidenari, Ardö, Håkan, Salah, Ibrahim, Yerushalmy, Ido, Muhammad, Iftikar, Uchida, Ikuma, Be'ery, Ishay, Rabarisoa, Jaonary, Lee, Jeongae, Fu, Jiajun, Yin, Jianqin, Xu, Jinghang, Nang, Jongho, Denize, Julien, Li, Junjie, Zhang, Junpei, Kim, Juntae, Synowiec, Kamil, Kobayashi, Kenji, Zhang, Kexin, Habel, Konrad, Nakajima, Kota, Jiao, Licheng, Ma, Lin, Wang, Lizhi, Wang, Luping, Li, Menglong, Zhou, Mengying, Nasr, Mohamed, Abdelwahed, Mohamed, Liashuha, Mykola, Falaleev, Nikolay, Oswald, Norbert, Jia, Qiong, Pham, Quoc-Cuong, Song, Ran, Hérault, Romain, Peng, Rui, Chen, Ruilong, Liu, Ruixuan, Baikulov, Ruslan, Fukushima, Ryuto, Escalera, Sergio, Lee, Seungcheon, Chen, Shimin, Ding, Shouhong, Someya, Taiga, Moeslund, Thomas B., Li, Tianjiao, Shen, Wei, Zhang, Wei, Li, Wei, Dai, Wei, Luo, Weixin, Zhao, Wending, Zhang, Wenjie, Yang, Xinquan, Ma, Yanbiao, Joo, Yeeun, Zeng, Yingsen, Gan, Yiyang, Zhu, Yongqiang, Zhong, Yujie, Ruan, Zheng, Li, Zhiheng, Huang, Zhijian, Meng, Ziyu
The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vision-based tasks split into three main themes. The first theme, broadc
Externí odkaz:
http://arxiv.org/abs/2309.06006
Autor:
Jacquet, Maxime, Ansari, Saba, Gallin-Martel, Marie-Laure, André, Adélie, Boursier, Yannick, Dupont, Mathieu, Es-smimih, Jilali, Gallin-Martel, Laurent, Hérault, Joël, Hoarau, Christophe, Hofverberg, Johan-Petter, Maneval, Daniel, Morel, Christian, Muraz, Jean-François, Salicis, Fabrice, Marcatili, Sara
Publikováno v:
Sci Rep 13, 3609 (2023)
We recently proposed a new approach for the real-time monitoring of particle therapy treatments with the goal of achieving high sensitivities on the particle range measurement already at limited counting statistics. This method extends the Prompt Gam
Externí odkaz:
http://arxiv.org/abs/2309.03612
COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers
We present COMEDIAN, a novel pipeline to initialize spatiotemporal transformers for action spotting, which involves self-supervised learning and knowledge distillation. Action spotting is a timestamp-level temporal action detection task. Our pipeline
Externí odkaz:
http://arxiv.org/abs/2309.01270