7 papers
UBLLIE: Unified Backlight and Low-Light Image Enhancement
Yasmin Yasin, Muhammad Usman, Ibrahim Radwan +1
Backlit and low-light images often suffer from severe exposure imbalance or global underexposure, presenting significant challenges for both visual perception and downstream comput…
When Preference Labels Fall Short: Aligning Diffusion Models from Real Data
Weiyan Chen, Weijian Deng, Yao Xiao +5
Preference alignment aims to guide generative models by learning from comparisons between preferred and non-preferred samples. In practice, most existing approaches rely on prefere…
Progressive Split Mamba: Effective State Space Modelling for Image Restoration
Mohammed Hassanin, Nour Moustafa, Weijian Deng +1
Image restoration requires simultaneously preserving fine-grained local structures and maintaining long-range spatial coherence. While convolutional networks struggle with limited…
Confidence and Dispersity as Signals: Unsupervised Model Evaluation and Ranking
Weijian Deng, Weijie Tu, Ibrahim Radwan +3
Assessing model generalization under distribution shift is essential for real-world deployment, particularly when labeled test data is unavailable. This paper presents a unified an…
Bird Eye-View to Street-View: A Survey
Khawlah Bajbaa, Muhammad Usman, Saeed Anwar +2
In recent years, street view imagery has grown to become one of the most important sources of geospatial data collection and urban analytics, which facilitates generating meaningfu…
Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers
Mohammed Hassanin, Mohammad Abu Alsheikh, Carlos C. N. Kuhn +3
The rapid adoption of micromobility solutions, particularly two-wheeled vehicles like e-scooters and e-bikes, has created an urgent need for reliable autonomous riding (AR) technol…