Video segmentation—partitioning video frames into multiple segments or objects—plays a
critical role in a broad range of practical applications, from enhancing visual effects in movie …

Current top-leading solutions for video object segmentation (VOS) typically follow a
matching-based regime: for each query frame, the segmentation mask is inferred according …

Video instance segmentation (VIS) aims to segment and associate all instances of
predefined classes for each frame in videos. Prior methods usually obtain segmentation for …

Error propagation is a general but crucial problem in online semi-supervised video object
segmentation. We aim to suppress error propagation through a correction mechanism with …

Moving object segmentation (MOS) is the process of identifying dynamic objects from video
frames, such as moving vehicles or pedestrians, while discarding the background. It plays …

The objective of this paper is self-supervised learning of video object segmentation. We
develop a unified framework which simultaneously models cross-frame dense …

Lane detection plays a key role in autonomous driving. While car cameras always take
streaming videos on the way, current lane detection works mainly focus on individual …

We present GvSeg, ag eneral v ideo seg mentation framework for addressing four different
video segmentation tasks (ie., instance, semantic, panoptic, and exemplar-guided) while …

Video object segmentation is a challenging task in computer vision because the
appearances of target objects might change drastically along the time in the video. To solve …

We propose a novel guided interactive segmentation (GIS) algorithm for video objects to
improve the segmentation accuracy and reduce the interaction time. First, we design the …