3 accepted papers
In this paper we address the weakly-supervised Audio-Visual Video Parsing (AVVP) problem which aims at labeling events in a video as audible visible or both and temporally localizing and classifying them into known categories. This is challenging since we only have access to video-level (weak) event…
In this paper, we address the problem of weakly supervised Audio-Visual Video Parsing (AVVP), where the goal is to temporally localize events that are audible or visible and simultaneously classify them into known event categories. This is a challenging task, as we only have access to the video-leve…
Videos with binaural audios provide an immersive viewing experience by enabling 3D sound sensation. Recent works attempt to generate binaural audio in a multimodal learning framework using large quantities of videos with accompanying binaural audio. In contrast, we attempt a more challenging problem…