The annual cost of vehicle insurance fraud is estimated to exceed 40 billion dollars. This is
an enormous amount considering the number of new vehicles insured yearly. In terms of …

Vehicle damages are increasingly becoming a liability for shared mobility services. The
large number of handovers between drivers demands for an accurate and fast inspection …

One of the most exciting technology breakthroughs in the last few years has been the rise of
deep learning. State-of-the-art deep learning models are being widely deployed in …

Nowadays, the proliferation of automobile industries is directly related to the increasing
number of car incidents. So, insurance companies are facing many simultaneous claims and …

Automatic car damage detection has attracted significant attention in the car insurance
business. However, due to the lack of high-quality and publicly available datasets, we can …

Following a car accident, an insurance company must assess the level of damage to each
vehicle to decide on the compensation paid to the insurance customer. This assessment is …

With the number of people driving a car increasing every day, there has been a proliferation
in the number of cars insurance claims being registered. The life cycle of registering …

Unsupervised near-duplicate detection has many practical applications ranging from social
media analysis and web-scale retrieval, to digital image forensics. It entails running a …

Automated procedures for classifying vehicle damage are critical in industries requiring
extensive vehicle management. Despite substantial research demands, challenges in the …

The emergence of Large Multimodal Models (LMMs) marks a significant milestone in the
development of artificial intelligence. Insurance, as a vast and complex discipline, involves a …