Zobrazeno 1 - 10
of 28 127
pro vyhledávání: '"Ghanem AT"'
The task of action spotting consists in both identifying actions and precisely localizing them in time with a single timestamp in long, untrimmed video streams. Automatically extracting those actions is crucial for many sports applications, including
Externí odkaz:
http://arxiv.org/abs/2410.01304
Autor:
Chaitanya, Krishna, Damasceno, Pablo F., Fadnavis, Shreyas, Mobadersany, Pooya, Parmar, Chaitanya, Scherer, Emily, Zemlianskaia, Natalia, Surace, Lindsey, Ghanem, Louis R., Cula, Oana Gabriela, Mansi, Tommaso, Standish, Kristopher
Accurate assessment of disease severity from endoscopy videos in ulcerative colitis (UC) is crucial for evaluating drug efficacy in clinical trials. Severity is often measured by the Mayo Endoscopic Subscore (MES) and Ulcerative Colitis Endoscopic In
Externí odkaz:
http://arxiv.org/abs/2410.00536
Autor:
Cioppa, Anthony, Giancola, Silvio, Somers, Vladimir, Joos, Victor, Magera, Floriane, Held, Jan, Ghasemzadeh, Seyed Abolfazl, Zhou, Xin, Seweryn, Karolina, Kowalczyk, Mateusz, Mróz, Zuzanna, Łukasik, Szymon, Hałoń, Michał, Mkhallati, Hassan, Deliège, Adrien, Hinojosa, Carlos, Sanchez, Karen, Mansourian, Amir M., Miralles, Pierre, Barnich, Olivier, De Vleeschouwer, Christophe, Alahi, Alexandre, Ghanem, Bernard, Van Droogenbroeck, Marc, Gorski, Adam, Clapés, Albert, Boiarov, Andrei, Afanasiev, Anton, Xarles, Artur, Scott, Atom, Lim, ByoungKwon, Yeung, Calvin, Gonzalez, Cristian, Rüfenacht, Dominic, Pacilio, Enzo, Deuser, Fabian, Altawijri, Faisal Sami, Cachón, Francisco, Kim, HanKyul, Wang, Haobo, Choe, Hyeonmin, Kim, Hyunwoo J, Kim, Il-Min, Kang, Jae-Mo, Tursunboev, Jamshid, Yang, Jian, Hong, Jihwan, Lee, Jimin, Zhang, Jing, Lee, Junseok, Zhang, Kexin, Habel, Konrad, Jiao, Licheng, Li, Linyi, Gutiérrez-Pérez, Marc, Ortega, Marcelo, Li, Menglong, Lopatto, Milosz, Kasatkin, Nikita, Nemtsev, Nikolay, Oswald, Norbert, Udin, Oleg, Kononov, Pavel, Geng, Pei, Alotaibi, Saad Ghazai, Kim, Sehyung, Ulasen, Sergei, Escalera, Sergio, Zhang, Shanshan, Yang, Shuyuan, Moon, Sunghwan, Moeslund, Thomas B., Shandyba, Vasyl, Golovkin, Vladimir, Dai, Wei, Chung, WonTaek, Liu, Xinyu, Zhu, Yongqiang, Kim, Youngseo, Li, Yuan, Yang, Yuting, Xiao, Yuxuan, Cheng, Zehua, Li, Zhihao
The SoccerNet 2024 challenges represent the fourth annual video understanding challenges organized by the SoccerNet team. These challenges aim to advance research across multiple themes in football, including broadcast video understanding, field unde
Externí odkaz:
http://arxiv.org/abs/2409.10587
Autor:
Nigmatullin, Ramil, Hemery, Kevin, Ghanem, Khaldoon, Moses, Steven, Gresh, Dan, Siegfried, Peter, Mills, Michael, Gatterman, Thomas, Hewitt, Nathan, Granet, Etienne, Dreyer, Henrik
The utility of solving the Fermi-Hubbard model has been estimated in the billions of dollars. Digital quantum computers can in principle address this task, but have so far been limited to quasi one-dimensional models. This is because of exponential o
Externí odkaz:
http://arxiv.org/abs/2409.06789
Timeline Analysis (TA) plays a crucial role in Timeline Forensics (TF) within the field of Digital Forensics (DF). It focuses on examining and analyzing time-based digital artefacts, such as timestamps derived from event logs, file metadata, and othe
Externí odkaz:
http://arxiv.org/abs/2409.02572
Autor:
Banerjee, Oishi, Saenz, Agustina, Wu, Kay, Clements, Warren, Zia, Adil, Buensalido, Dominic, Kavnoudias, Helen, Abi-Ghanem, Alain S., Ghawi, Nour El, Luna, Cibele, Castillo, Patricia, Al-Surimi, Khaled, Daghistani, Rayyan A., Chen, Yuh-Min, Chao, Heng-sheng, Heiliger, Lars, Kim, Moon, Haubold, Johannes, Jonske, Frederic, Rajpurkar, Pranav
Given the rapidly expanding capabilities of generative AI models for radiology, there is a need for robust metrics that can accurately measure the quality of AI-generated radiology reports across diverse hospitals. We develop ReXamine-Global, a LLM-p
Externí odkaz:
http://arxiv.org/abs/2408.16208
Autor:
S, Gabriel Pérez, Pérez, Juan C., Alfarra, Motasem, Zarzar, Jesús, Rojas, Sara, Ghanem, Bernard, Arbeláez, Pablo
This paper presents preliminary work on a novel connection between certified robustness in machine learning and the modeling of 3D objects. We highlight an intriguing link between the Maximal Certified Radius (MCR) of a classifier representing a spac
Externí odkaz:
http://arxiv.org/abs/2408.13135
Autor:
Sanchez, Karen, Hinojosa, Carlos, Mieles, Olinto, Zhao, Chen, Ghanem, Bernard, Arguello, Henry
Chronic wounds pose an ongoing health concern globally, largely due to the prevalence of conditions such as diabetes and leprosy's disease. The standard method of monitoring these wounds involves visual inspection by healthcare professionals, a pract
Externí odkaz:
http://arxiv.org/abs/2408.10827
Autor:
Mai, Jinjie, Zhu, Wenxuan, Rojas, Sara, Zarzar, Jesus, Hamdi, Abdullah, Qian, Guocheng, Li, Bing, Giancola, Silvio, Ghanem, Bernard
Neural radiance fields (NeRFs) generally require many images with accurate poses for accurate novel view synthesis, which does not reflect realistic setups where views can be sparse and poses can be noisy. Previous solutions for learning NeRFs with s
Externí odkaz:
http://arxiv.org/abs/2408.10739
Autor:
Khanmohammadi, Reza, Ghanem, Ahmed I., Verdecchia, Kyle, Hall, Ryan, Elshaikh, Mohamed, Movsas, Benjamin, Bagher-Ebadian, Hassan, Luo, Bing, Chetty, Indrin J., Alhanai, Tuka, Thind, Kundan, Ghassemi, Mohammad M.
Large Language Models (LLMs) offer significant potential for clinical symptom extraction, but their deployment in healthcare settings is constrained by privacy concerns, computational limitations, and operational costs. This study investigates the op
Externí odkaz:
http://arxiv.org/abs/2408.04775