Zobrazeno 1 - 10
of 30 287
pro vyhledávání: '"Hannan, A."'
Large language models (LLMs) excel at retrieving information from lengthy text, but their vision-language counterparts (VLMs) face difficulties with hour-long videos, especially for temporal grounding. Specifically, these VLMs are constrained by fram
Externí odkaz:
http://arxiv.org/abs/2411.14901
Publikováno v:
Physica Scripta, 98(11), 115306 (2023)
This article focuses on the study of strange hadrons at 0.2 TeV centre of mass energy, recorded by STAR at RHIC, and at 0.9 TeV, 5.02 TeV and 7 TeV, recorded by CMS at LHC, in pp collision in the rapidity range from 0 to 2. The transverse momentum di
Externí odkaz:
http://arxiv.org/abs/2411.08655
Autor:
Kuzminykh, Ievgeniia, Nawaz, Tareita, Shenzhang, Shihao, Ghita, Bogdan, Raphael, Jeffery, Xiao, Hannan
AI tools, particularly large language modules, have recently proven their effectiveness within learning management systems and online education programmes. As feedback continues to play a crucial role in learning and assessment in schools, educators
Externí odkaz:
http://arxiv.org/abs/2410.11904
Autor:
Khan, Asifullah, Sohail, Anabia, Fiaz, Mustansar, Hassan, Mehdi, Afridi, Tariq Habib, Marwat, Sibghat Ullah, Munir, Farzeen, Ali, Safdar, Naseem, Hannan, Zaheer, Muhammad Zaigham, Ali, Kamran, Sultana, Tangina, Tanoli, Ziaurrehman, Akhter, Naeem
Deep supervised learning models require high volume of labeled data to attain sufficiently good results. Although, the practice of gathering and annotating such big data is costly and laborious. Recently, the application of self supervised learning (
Externí odkaz:
http://arxiv.org/abs/2408.17059
Autor:
Wen, Ximing, Weber, Rosina O., Sen, Anik, Hannan, Darryl, Nesbit, Steven C., Chan, Vincent, Goffi, Alberto, Morris, Michael, Hunninghake, John C., Villalobos, Nicholas E., Kim, Edward, MacLellan, Christopher J.
Point-of-Care Ultrasound (POCUS) is the practice of clinicians conducting and interpreting ultrasound scans right at the patient's bedside. However, the expertise needed to interpret these images is considerable and may not always be present in emerg
Externí odkaz:
http://arxiv.org/abs/2407.06206
Autor:
Liao, Mingxiang, Lu, Hannan, Zhang, Xinyu, Wan, Fang, Wang, Tianyu, Zhao, Yuzhong, Zuo, Wangmeng, Ye, Qixiang, Wang, Jingdong
Comprehensive and constructive evaluation protocols play an important role in the development of sophisticated text-to-video (T2V) generation models. Existing evaluation protocols primarily focus on temporal consistency and content continuity, yet la
Externí odkaz:
http://arxiv.org/abs/2407.01094
Diffusion models (DMs) have achieved significant success in generating imaginative images given textual descriptions. However, they are likely to fall short when it comes to real-life scenarios with intricate details. The low-quality, unrealistic hum
Externí odkaz:
http://arxiv.org/abs/2406.17100
Heterogeneous datasets emerge in various machine learning and optimization applications that feature different input sources, types or formats. Most models or methods do not natively tackle heterogeneity. Hence, such datasets are often partitioned in
Externí odkaz:
http://arxiv.org/abs/2405.13073
Autor:
Khan, Abdul Hannan, Rizvi, Syed Tahseen Raza, Macharavtu, Dheeraj Varma Chittari, Dengel, Andreas
Autonomous driving systems require a quick and robust perception of the nearby environment to carry out their routines effectively. With the aim to avoid collisions and drive safely, autonomous driving systems rely heavily on object detection. Howeve
Externí odkaz:
http://arxiv.org/abs/2405.07698
Remote sensing projects typically generate large amounts of imagery that can be used to train powerful deep neural networks. However, the amount of labeled images is often small, as remote sensing applications generally require expert labelers. Thus,
Externí odkaz:
http://arxiv.org/abs/2404.18583