Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Basharat, Arslan"'
Autor:
Ai, Lin, Kumarage, Tharindu, Bhattacharjee, Amrita, Liu, Zizhou, Hui, Zheng, Davinroy, Michael, Cook, James, Cassani, Laura, Trapeznikov, Kirill, Kirchner, Matthias, Basharat, Arslan, Hoogs, Anthony, Garland, Joshua, Liu, Huan, Hirschberg, Julia
The proliferation of Large Language Models (LLMs) poses challenges in detecting and mitigating digital deception, as these models can emulate human conversational patterns and facilitate chat-based social engineering (CSE) attacks. This study investi
Externí odkaz:
http://arxiv.org/abs/2406.12263
Autor:
Hu, Brian, Ray, Bill, Leung, Alice, Summerville, Amy, Joy, David, Funk, Christopher, Basharat, Arslan
In difficult decision-making scenarios, it is common to have conflicting opinions among expert human decision-makers as there may not be a single right answer. Such decisions may be guided by different attributes that can be used to characterize an i
Externí odkaz:
http://arxiv.org/abs/2406.06435
Autor:
Liu, Xinyi, Li, Jinning, Sun, Dachun, Wang, Ruijie, Abdelzaher, Tarek, Brown, Matt, Barricelli, Anthony, Kirchner, Matthias, Basharat, Arslan
The proliferation of political memes in modern information campaigns calls for efficient solutions for image classification by ideological affiliation. While significant advances have recently been made on text classification in modern natural langua
Externí odkaz:
http://arxiv.org/abs/2305.14494
Autor:
Sharafat, Raheela, Basharat, Arslan, Salma, Ume, Iqbal, Javed, Khera, Rasheed Ahmad, Shaaban, Ibrahim A., Assiri, Mohammed A., El Maati, Lamia Abu
Publikováno v:
In Journal of Physics and Chemistry of Solids March 2024 186
Videos can be manipulated by duplicating a sequence of consecutive frames with the goal of concealing or imitating a specific content in the same video. In this paper, we propose a novel coarse-to-fine framework based on deep Convolutional Neural Net
Externí odkaz:
http://arxiv.org/abs/1811.10762
Akademický článek
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Akademický článek
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Autor:
Basharat, Arslan
Publikováno v:
Electronic Theses and Dissertations.
In this dissertation, we address the problem of understanding human activities in videos by developing a two-pronged approach: coarse level modeling of scene activities and fine level modeling of individual activities. At the coarse level, where the
Externí odkaz:
https://stars.library.ucf.edu/etd/3991
https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=4991&context=etd
https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=4991&context=etd
Publikováno v:
In Computer Vision and Image Understanding 2008 110(3):360-377
Autor:
Chittajallu, Deepak R., Basharat, Arslan, Tunison, Paul, Horvath, Samantha, Wells, Katerina O., Leeds, Steven G., Fleshman, James W., Sankaranarayanan, Ganesh, Enquobahrie, Andinet
Publikováno v:
Proceedings of SPIE; 1/14/2019, Vol. 10951, p109512Q-1-109512Q-6, 6p