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 ...

Canva unveiled a slew of new AI products and features at its fall product launch on Thursday, but this technical, kind of boring new drop might actually hold the most promise. Canva has developed a ...

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 ...