CORTEXA
← Browse

Xiang Yu

3 papers indexed

arxivcs.CV2026-07-07

A VLM-Enhanced Framework for Comprehensive Traffic Sign Condition Assessment Integrating Daytime Visual Performance and Nighttime Retroreflectivity Evaluation

Linlin Zhang, Neema Jakisa Owor, Xiang Yu, Abby Watts, Yaw Adu-Gyamfi

Traffic signs are crucial components of road safety, serving as visual tools under all lighting conditions. The Manual on Uniform Traffic Control Devices (MUTCD) specifies daytime visual factors such as legibility and color contrast, and nighttime retroreflectivity requirements.…

View free PDFSource page
crossrefMachine Learning and Knowledge Extraction2023-06-09Cited by 43

A Survey of Deep Learning for Alzheimer’s Disease

Qinghua Zhou, Jiaji Wang, Xiang Yu, Shuihua Wang, Yudong Zhang

Alzheimer’s and related diseases are significant health issues of this era. The interdisciplinary use of deep learning in this field has shown great promise and gathered considerable interest. This paper surveys deep learning literature related to Alzheimer’s disease, mild cognit…

View free PDFSource page
crossrefRemote Sensing2022-05-12Cited by 65

Evaluating the Effectiveness of Machine Learning and Deep Learning Models Combined Time-Series Satellite Data for Multiple Crop Types Classification over a Large-Scale Region

Xue Wang, Jiahua Zhang, Lan Xun, Jingwen Wang, Zhenjiang Wu, Malak Henchiri, et al.

Accurate extraction of crop cultivated area and spatial distribution is essential for food security. Crop classification methods based on machine learning and deep learning and remotely sensed time-series data are widely utilized to detect crop planting area. However, few studies…

View free PDFSource page