Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...

1 Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia 2 Computer Engineering Department, College of Engineering, Hadhramout ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

advanced-computer-vision-framework/ ├── src/ │ ├── cuda/ # Custom CUDA kernels │ ├── tracking/ # Multi-object tracking │ ├── features/ # Feature extraction │ ├── layers/ # Custom neural network layers ...

ABSTRACT: The VMamba (Visual State Space Model) is built upon the Mamba model by stacking Visual State Space (VSS) modules and utilizing the 2D Selective Scan (SS2D) module to extend the original ...

ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...

Abstract: Today, Computer Vision algorithms play a vital role in almost every domain of our day-to-day life. This powerful technology has aided in the development of answers to a wide range of ...

Abstract: Feature extraction and classifier design are two main processing blocks in all pattern recognition and computer vision systems. For visual patterns, extracting robust and discriminative ...