3 accepted papers
Despite the success of audio-visual large-language models (LLMs), they can produce plausible but ungrounded outputs, termed hallucination. Existing benchmarks focus on environmental sounds (e.g., dog barking) to indicate event occurrence. In contrast, human speech carries fundamentally different, ri
Depth completion, predicting dense depth maps from sparse depth measurements, is an ill-posed problem requiring prior knowledge. Recent methods adopt learning-based approaches to implicitly capture priors, but the priors primarily fit in-domain data and do not generalize well to out-of-domain scena…
This paper proposes a reliable and self-adaptive operating system management policy for CCTV-based security applications which controls arrival image compression rates. After receiving image sequences via CCTV cameras, the system enqueues the sequences of images and processes them for face recogniti…