Zobrazeno 1 - 10
of 6 015
pro vyhledávání: '"A. Raue"'
Autor:
Anwar, Ahmed, Moser, Brian, Herurkar, Dayananda, Raue, Federico, Hegiste, Vinit, Legler, Tatjana, Dengel, Andreas
The emergence of federated learning (FL) presents a promising approach to leverage decentralized data while preserving privacy. Furthermore, the combination of FL and anomaly detection is particularly compelling because it allows for detecting rare a
Externí odkaz:
http://arxiv.org/abs/2408.04442
Traditional blind image SR methods need to model real-world degradations precisely. Consequently, current research struggles with this dilemma by assuming idealized degradations, which leads to limited applicability to actual user data. Moreover, the
Externí odkaz:
http://arxiv.org/abs/2404.17670
In image Super-Resolution (SR), relying on large datasets for training is a double-edged sword. While offering rich training material, they also demand substantial computational and storage resources. In this work, we analyze dataset pruning to solve
Externí odkaz:
http://arxiv.org/abs/2403.17083
Machine learning traditionally relies on increasingly larger datasets. Yet, such datasets pose major storage challenges and usually contain non-influential samples, which could be ignored during training without negatively impacting the training qual
Externí odkaz:
http://arxiv.org/abs/2403.03881
Autor:
Moser, Brian B., Shanbhag, Arundhati S., Raue, Federico, Frolov, Stanislav, Palacio, Sebastian, Dengel, Andreas
Diffusion Models (DMs) have disrupted the image Super-Resolution (SR) field and further closed the gap between image quality and human perceptual preferences. They are easy to train and can produce very high-quality samples that exceed the realism of
Externí odkaz:
http://arxiv.org/abs/2401.00736
Autor:
Voutier, E., Burkert, V., Niccolai, S., Paremuzyan, R., Afanasev, A., Alvarado-Galeano, J. -S., Atoui, M., Barion, L., Battaglieri, M., Bernauer, J., Bianconi, A., Bondi, M., Briscoe, W., Camsonne, A., Capobianco, R., Celentano, A., Chatagnon, P., Chetry, T., Ciullo, G., Cole, P., Contalbrigo, M., Costantini, G., Defurne, M., Deur, A., De Vita, R., Diehl, S., Dupré, R., Elouadrhiri, L., Fernando, I., Filippi, A., Forest, T., Girod, F. -X., Gosta, G., Grames, J., Gueye, P., Habet, S., Hattawy, M., Higinbotham, D., Hobart, A., Hyde, C., Joo, K., Kim, A., Klimenko, V., Kubarovsky, V., Leali, M., Lenisa, P., Marchand, D., Marsicano, L., Mascagna, V., Matamoros, D., McCaughan, M., McKinnon, B., Migliorati, S., Mitra, H. S., Movsisyan, A., Muñoz-Camacho, C., Osipenko, M., Ouillon, M., Pappalardo, L., Pasquini, B., Pasyuk, E., Pilleux, N., Poelker, M., Raue, B., Ripani, M., Santos, R., Schmidt, A., Singh, R., Sokhan, D., Spreafico, M., Stoler, P., Strakovsky, I., Taiuti, M., Venturelli, L., Wang, P. -K., Wei, X., Zhao, Z., Collaboration, the CLAS, Group, the Jefferson Lab Positron Working
The parameterization of the nucleon structure through Generalized Parton Distributions (GPDs) shed a new light on the nucleon internal dynamics. For its direct interpretation, Deeply Virtual Compton Scattering (DVCS) is the golden channel for GPDs in
Externí odkaz:
http://arxiv.org/abs/2309.14041
Autor:
Marie-Kristin Raulf, Katharina Raue, Anna Schwarz, Ivo Petersen, Eva Zschiesche, Lea Heinau, Christina Strube
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract Background Rhipicephalus sanguineus sensu lato (s.l.) and Ctenocephalides felis are among the most important year-round ectoparasites of dogs. The persistent efficacy of one treatment with fluralaner injectable suspension (Bravecto® 150 mg/
Externí odkaz:
https://doaj.org/article/11b3d7ba99354cdd853dd56a866558f3
Autor:
Sebastian T. Tong, Kris Pui Kwan Ma, Ajla Pleho, Brennan Keiser, Chialing Hsu, Dawn M. Ehde, Mary C. Curran, Judith I. Tsui, Patrick J. Raue, Kari A. Stephens
Publikováno v:
Addiction Science & Clinical Practice, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Background Patients with chronic pain on opioids frequently experience loneliness, which is associated with poorer health outcomes and higher risk for opioid misuse and opioid use disorder. Given that almost half of opioids are prescribed in
Externí odkaz:
https://doaj.org/article/b7c9abf708b64cd89ad1bed8fb2c0d6e
Self-attention in Transformers comes with a high computational cost because of their quadratic computational complexity, but their effectiveness in addressing problems in language and vision has sparked extensive research aimed at enhancing their eff
Externí odkaz:
http://arxiv.org/abs/2308.09372
Diffusion models in image Super-Resolution (SR) treat all image regions with uniform intensity, which risks compromising the overall image quality. To address this, we introduce "You Only Diffuse Areas" (YODA), a dynamic attention-guided diffusion me
Externí odkaz:
http://arxiv.org/abs/2308.07977