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pro vyhledávání: '"A., Essam"'
The rise of short-form videos on platforms like TikTok has brought new challenges in safeguarding young viewers from inappropriate content. Traditional moderation methods often fall short in handling the vast and rapidly changing landscape of user-ge
Externí odkaz:
http://arxiv.org/abs/2410.00403
Autor:
Putterman, Harald, Noh, Kyungjoo, Hann, Connor T., MacCabe, Gregory S., Aghaeimeibodi, Shahriar, Patel, Rishi N., Lee, Menyoung, Jones, William M., Moradinejad, Hesam, Rodriguez, Roberto, Mahuli, Neha, Rose, Jefferson, Owens, John Clai, Levine, Harry, Rosenfeld, Emma, Reinhold, Philip, Moncelsi, Lorenzo, Alcid, Joshua Ari, Alidoust, Nasser, Arrangoiz-Arriola, Patricio, Barnett, James, Bienias, Przemyslaw, Carson, Hugh A., Chen, Cliff, Chen, Li, Chinkezian, Harutiun, Chisholm, Eric M., Chou, Ming-Han, Clerk, Aashish, Clifford, Andrew, Cosmic, R., Curiel, Ana Valdes, Davis, Erik, DeLorenzo, Laura, D'Ewart, J. Mitchell, Diky, Art, D'Souza, Nathan, Dumitrescu, Philipp T., Eisenmann, Shmuel, Elkhouly, Essam, Evenbly, Glen, Fang, Michael T., Fang, Yawen, Fling, Matthew J., Fon, Warren, Garcia, Gabriel, Gorshkov, Alexey V., Grant, Julia A., Gray, Mason J., Grimberg, Sebastian, Grimsmo, Arne L., Haim, Arbel, Hand, Justin, He, Yuan, Hernandez, Mike, Hover, David, Hung, Jimmy S. C., Hunt, Matthew, Iverson, Joe, Jarrige, Ignace, Jaskula, Jean-Christophe, Jiang, Liang, Kalaee, Mahmoud, Karabalin, Rassul, Karalekas, Peter J., Keller, Andrew J., Khalajhedayati, Amirhossein, Kubica, Aleksander, Lee, Hanho, Leroux, Catherine, Lieu, Simon, Ly, Victor, Madrigal, Keven Villegas, Marcaud, Guillaume, McCabe, Gavin, Miles, Cody, Milsted, Ashley, Minguzzi, Joaquin, Mishra, Anurag, Mukherjee, Biswaroop, Naghiloo, Mahdi, Oblepias, Eric, Ortuno, Gerson, Pagdilao, Jason, Pancotti, Nicola, Panduro, Ashley, Paquette, JP, Park, Minje, Peairs, Gregory A., Perello, David, Peterson, Eric C., Ponte, Sophia, Preskill, John, Qiao, Johnson, Refael, Gil, Resnick, Rachel, Retzker, Alex, Reyna, Omar A., Runyan, Marc, Ryan, Colm A., Sahmoud, Abdulrahman, Sanchez, Ernesto, Sanil, Rohan, Sankar, Krishanu, Sato, Yuki, Scaffidi, Thomas, Siavoshi, Salome, Sivarajah, Prasahnt, Skogland, Trenton, Su, Chun-Ju, Swenson, Loren J., Teo, Stephanie M., Tomada, Astrid, Torlai, Giacomo, Wollack, E. Alex, Ye, Yufeng, Zerrudo, Jessica A., Zhang, Kailing, Brandão, Fernando G. S. L., Matheny, Matthew H., Painter, Oskar
In order to solve problems of practical importance, quantum computers will likely need to incorporate quantum error correction, where a logical qubit is redundantly encoded in many noisy physical qubits. The large physical-qubit overhead typically as
Externí odkaz:
http://arxiv.org/abs/2409.13025
Autor:
Ghaleb, Ali, ElSadawy, Eslam, Essam, Ihab, Abdelhakim, Mohamed, Zaki, Seif-Eldin, Fahim, Natalie, Bayoumi, Razan, Hindy, Hanan
The automation of guitar tablature generation from video inputs holds significant promise for enhancing music education, transcription accuracy, and performance analysis. Existing methods face challenges with consistency and completeness, particularl
Externí odkaz:
http://arxiv.org/abs/2409.08618
Autor:
Ataallah, Kirolos, Shen, Xiaoqian, Abdelrahman, Eslam, Sleiman, Essam, Zhuge, Mingchen, Ding, Jian, Zhu, Deyao, Schmidhuber, Jürgen, Elhoseiny, Mohamed
Most current LLM-based models for video understanding can process videos within minutes. However, they struggle with lengthy videos due to challenges such as "noise and redundancy", as well as "memory and computation" constraints. In this paper, we p
Externí odkaz:
http://arxiv.org/abs/2407.12679
Autor:
Hesham, Momen, Essam, Mohamed, Bahaa, Mohamed, Mohamed, Ahmed, Gomaa, Mohamed, Hany, Mena, Elsersy, Wael
As these attacks become more and more difficult to see, the need for the great hi-tech models that detect them is undeniable. This paper examines and compares various machine learning as well as deep learning models to choose the most suitable ones f
Externí odkaz:
http://arxiv.org/abs/2407.06014
Autor:
Nafaa, Selvia, Essam, Hafsa, Ashour, Karim, Emad, Doaa, Mohamed, Rana, Elhenawy, Mohammed, Ashqar, Huthaifa I., Hassan, Abdallah A., Alhadidi, Taqwa I.
Monitoring asset conditions is a crucial factor in building efficient transportation asset management. Because of substantial advances in image processing, traditional manual classification has been largely replaced by semi-automatic/automatic techni
Externí odkaz:
http://arxiv.org/abs/2406.07674
Autor:
Nafaa, Selvia, Essam, Hafsa, Ashour, Karim, Emad, Doaa, Mohamed, Rana, Elhenawy, Mohammed, Ashqar, Huthaifa I., Hassan, Abdallah A., Alhadidi, Taqwa I.
Roadway signs detection and recognition is an essential element in the Advanced Driving Assistant Systems (ADAS). Several artificial intelligence methods have been used widely among of them YOLOv5 and YOLOv8. In this paper, we used a modified YOLOv5
Externí odkaz:
http://arxiv.org/abs/2406.09437
Accurate segmentation of the stroke lesions using magnetic resonance imaging (MRI) is associated with difficulties due to the complicated anatomy of the brain and the different properties of the lesions. This study introduces the Neuro-TransUNet fram
Externí odkaz:
http://arxiv.org/abs/2406.06017
Autor:
Darya, Abdollah Masoud, Shaikh, Muhammad Mubasshir, Nykiel, Grzegorz, Ghamry, Essam, Fernini, Ilias
This study investigates the spatial and temporal characteristics of L1 amplitude scintillation-causing ionospheric irregularities over the Eastern Arabian Peninsula during the ascending phase of solar cycle 25 (years 2020--2023). The temporal occurre
Externí odkaz:
http://arxiv.org/abs/2405.14204
Autor:
Ataallah, Kirolos, Shen, Xiaoqian, Abdelrahman, Eslam, Sleiman, Essam, Zhu, Deyao, Ding, Jian, Elhoseiny, Mohamed
This paper introduces MiniGPT4-Video, a multimodal Large Language Model (LLM) designed specifically for video understanding. The model is capable of processing both temporal visual and textual data, making it adept at understanding the complexities o
Externí odkaz:
http://arxiv.org/abs/2404.03413