Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Kiani, Kourosh"'
Image inpainting, the process of restoring missing or corrupted regions of an image by reconstructing pixel information, has recently seen considerable advancements through deep learning-based approaches. In this paper, we introduce a novel deep lear
Externí odkaz:
http://arxiv.org/abs/2411.05705
This paper provides a thorough examination of recent developments in the field of multi-choice Machine Reading Comprehension (MRC). Focused on benchmark datasets, methodologies, challenges, and future trajectories, our goal is to offer researchers a
Externí odkaz:
http://arxiv.org/abs/2408.02114
Sign Language Recognition (SLR) has garnered significant attention from researchers in recent years, particularly the intricate domain of Continuous Sign Language Recognition (CSLR), which presents heightened complexity compared to Isolated Sign Lang
Externí odkaz:
http://arxiv.org/abs/2402.14720
Autor:
Foolad, Shima, Kiani, Kourosh
Despite the significant progress made by transformer models in machine reading comprehension tasks, they still fall short in handling complex reasoning tasks due to the absence of explicit knowledge in the input sequence. To address this limitation,
Externí odkaz:
http://arxiv.org/abs/2307.10443
A Chatbot serves as a communication tool between a human user and a machine to achieve an appropriate answer based on the human input. In more recent approaches, a combination of Natural Language Processing and sequential models are used to build a g
Externí odkaz:
http://arxiv.org/abs/2306.02074
Autor:
Foolad, Shima, Kiani, Kourosh
Publikováno v:
Neurocomputing Volume 558, 14 November 2023, 126786
Incorporating prior knowledge can improve existing pre-training models in cloze-style machine reading and has become a new trend in recent studies. Notably, most of the existing models have integrated external knowledge graphs (KG) and transformer-ba
Externí odkaz:
http://arxiv.org/abs/2303.06675
Continuous Hand Gesture Recognition (CHGR) has been extensively studied by researchers in the last few decades. Recently, one model has been presented to deal with the challenge of the boundary detection of isolated gestures in a continuous gesture v
Externí odkaz:
http://arxiv.org/abs/2207.07619
Continuous Sign Language Recognition (CSLR) is a long challenging task in Computer Vision due to the difficulties in detecting the explicit boundaries between the words in a sign sentence. To deal with this challenge, we propose a two-stage model. In
Externí odkaz:
http://arxiv.org/abs/2204.00923
Sign Language is the dominant form of communication language used in the deaf and hearing-impaired community. To make an easy and mutual communication between the hearing-impaired and the hearing communities, building a robust system capable of trans
Externí odkaz:
http://arxiv.org/abs/2201.01609
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part B
