3 accepted papers
Vision-language models offer strong few-shot capability through prompt tuning but remain vulnerable to noisy labels, which can corrupt prompts and degrade cross-modal alignment. Existing approaches struggle because they often lack the ability to model fine-grained semantic cues and to adaptively sep
Due to the emergence of AI systems that interact with the physical environment, there is an increased interest in incorporating physical reasoning capabilities into those AI systems. But is it enough to only have physical reasoning capabilities to operate in a real physical environment? In the real
One of the most effective online dereverberation algorithms is the weighted prediction error (WPE) method and its improved version, switching WPE (SwWPE). This paper proposes a practical online dereverberation approach to improve SwWPE by introducing a datareuse technique, DR-SwWPE; we then show ana…