muralas

Multimodal Learning for DeepFake Detection In recent years, the rise of deepfakes—videos that are digitally altered using artificial intelligence (AI) to convincingly depict false events or individuals has sparked significant concerns about the reliability of visual content captured by surveillance systems. This project is driven by the recognition that traditional methods of detecting video manipulation … Read more

Automated surveillance is widely opted for applications such as traffic monitoring, vehicle identification, etc . But, various weather degradation factors such as rain and snow streaks, along with atmospheric veil severely affect the perceptual quality of an image, eventually affecting the performance of these applications. There exist weather specific (rain, haze, snow, etc .) methods … Read more