Visual semantic segmentation aims at separating a visual sample into diverse blocks with
specific semantic attributes and identifying the category for each block, and it plays a crucial …

Image segmentation is the task of associating pixels in an image with their respective object
class labels. It has a wide range of applications in many industries including healthcare …

We propose to explore a new problem called audio-visual segmentation (AVS), in which the
goal is to output a pixel-level map of the object (s) that produce sound at the time of the …

Abstract Zero-shot Video Object Segmentation (ZSVOS) aims at segmenting the primary
moving object without any human annotations. Mainstream solutions mainly focus on …

Appearance and motion are two important sources of information in video object
segmentation (VOS). Previous methods mainly focus on using simplex solutions, lowering …

Animals have evolved highly functional visual systems to understand motion, assisting
perception even under complex environments. In this paper, we work towards develo** a …

Humans tend to mine objects by learning from a group of images or several frames of video
since we live in a dynamic world. In the computer vision area, many researchers focus on co …

Abstract We propose an Explicit Conditional Multimodal Variational Auto-Encoder
(ECMVAE) for audio-visual segmentation (AVS), aiming to segment sound sources in the …

Audio-visual video segmentation (AVVS) aims to generate pixel-level maps of sound-
producing objects within image frames and ensure the maps faithfully adheres to the given …

Optical flow is an easily conceived and precious cue for advancing unsupervised video
object segmentation (UVOS). Most of the previous methods directly extract and fuse the …