Abstract: Image dehazing is an image processing technique that involves removing the haze effect from a given image. Restoration of hazy images is currently an established computer vision issue due to ...

Abstract: The article discusses algorithms for detecting key points and calibrating them on images taken from different angles. It proposes a non-traditional approach to identifying and searching for ...

Abstract: This paper introduces MTGLWS, a multimodal fine-grained sentiment analysis framework that reformulates aspect-level polarity classification as a masked-token generation task. Beginning with ...

Abstract: Multimodal matching remains a difficult and pressing problem in the imaging processing community. Accurate and robust multimodal matching is important for the performance of applications, ...

Abstract: Human-swarm interaction is facilitated by a low-dimensional encoding of the swarm formation, independent of the (possibly large) number of robots. We propose using image moments to encode ...