9 citations · 14 across the 12 of their papers we have counts for
13 papers
ICM: Intra-class Mixing for Domain Adaptation in Adverse Weather
Boying Li, Chang Liu, Britta Ayano Wilde +4
Unsupervised domain adaptation (UDA) for semantic segmentation remains challenging under adverse weather conditions because severe appearance changes enlarge the domain gap and deg…
Counterargument for Critical Thinking as Judged by AI and Humans
Tosin Adewumi, Marcus Liwicki, Foteini Simistira Liwicki +3
This intervention study investigates the use of counterarguments in writing for critical thinking by students in the context of Generative AI (GenAI). This is especially as risks o…
On the Codesign of Scientific Experiments and Industrial Systems
Tommaso Dorigo, Pietro Vischia, Shahzaib Abbas +84
The optimization of large experiments in fundamental science, such as detectors for subnuclear physics at particle colliders, shares with the optimization of complex systems for in…
Enhancing Vehicle Detection under Adverse Weather Conditions with Contrastive Learning
Boying Li, Chang Liu, Petter Kyösti +5
Aside from common challenges in remote sensing like small, sparse targets and computation cost limitations, detecting vehicles from UAV images in the Nordic regions faces strong vi…
Sound Signal Synthesis with Auxiliary Classifier GAN, COVID-19 cough as an example
Yahya Sherif Solayman Mohamed Saleh, Ahmed Mohammed Dabbous, Lama Alkhaled +3
One of the fastest-growing domains in AI is healthcare. Given its importance, it has been the interest of many researchers to deploy ML models into the ever-demanding healthcare do…
Findings of MEGA: Maths Explanation with LLMs using the Socratic Method for Active Learning
Tosin Adewumi, Foteini Simistira Liwicki, Marcus Liwicki +3
This paper presents an intervention study on the effects of the combined methods of (1) the Socratic method, (2) Chain of Thought (CoT) reasoning, (3) simplified gamification and (…
Vehicle Detection Performance in Nordic Region
Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi +5
This paper addresses the critical challenge of vehicle detection in the harsh winter conditions in the Nordic regions, characterized by heavy snowfall, reduced visibility, and low…
Optimizing the AI Development Process by Providing the Best Support Environment
Taha Khamis, Hamam Mokayed
The purpose of this study is to investigate the development process for Artificial inelegance (AI) and machine learning (ML) applications in order to provide the best support envir…
Nordic Vehicle Dataset (NVD): Performance of vehicle detectors using newly captured NVD from UAV in different snowy weather conditions
Hamam Mokayed, Amirhossein Nayebiastaneh, Kanjar De +3
Vehicle detection and recognition in drone images is a complex problem that has been used for different safety purposes. The main challenge of these images is captured at oblique a…
Robust and Fast Vehicle Detection using Augmented Confidence Map
Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled +4
Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, et…
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
Konstantina Nikolaidou, George Retsinas, Vincent Christlein +5
Text-to-Image synthesis is the task of generating an image according to a specific text description. Generative Adversarial Networks have been considered the standard method for im…
A Survey of Historical Document Image Datasets
Konstantina Nikolaidou, Mathias Seuret, Hamam Mokayed +1
This paper presents a systematic literature review of image datasets for document image analysis, focusing on historical documents, such as handwritten manuscripts and early prints…
Detection and Recognition of Malaysian Special License Plate Based On SIFT Features
Hooi Sin Ng, Yong Haur Tay, Kim Meng Liang +2
Automated car license plate recognition systems are developed and applied for purpose of facilitating the surveillance, law enforcement, access control and intelligent transportati…