Object segmentation and object tracking are fundamental research areas in the computer
vision community. These two topics are difficult to handle some common challenges, such …

We present Modular interactive VOS (MiVOS) framework which decouples interaction-to-
mask and mask propagation, allowing for higher generalizability and better performance …

Video object segmentation is challenging yet important in a wide variety of applications for
video analysis. Recent works formulate video object segmentation as a prediction task using …

We propose an end-to-end learning framework for segmenting generic objects in videos.
Our method learns to combine appearance and motion information to produce pixel level …

This paper tackles the problem of video object segmentation, given some user annotation
which indicates the object of interest. The problem is formulated as pixel-wise retrieval in a …

Motion is a strong cue for unsupervised object-level grouping. In this paper, we demonstrate
that motion will be exploited most effectively, if it is regarded over larger time windows …

We present a technique for separating foreground objects from the background in a video.
Our method is fast, fully automatic, and makes minimal assumptions about the video. This …

We propose an unsupervised video segmentation approach by simultaneously tracking
multiple holistic figureground segments. Segment tracks are initialized from a pool of …

We propose a technique that propagates information forward through video data. The
method is conceptually simple and can be applied to tasks that require the propagation of …

We present an efficient and scalable technique for spatiotemporal segmentation of long
video sequences using a hierarchical graph-based algorithm. We begin by over-segmenting …