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 …

Most activity localization methods in the literature suffer from the burden of frame-wise
annotation requirement. Learning from weak labels may be a potential solution towards …

We propose a new method for video object segmentation (VOS) that addresses object
pattern learning from unlabeled videos, unlike most existing methods which rely heavily on …

Recent years have seen tremendous progress in still-image segmentation; however the
naïve application of these state-of-the-art algorithms to every video frame requires …

The long-standing goal of localizing every object in an image remains elusive. Manually
annotating objects is quite expensive despite crowd engineering innovations. Current state …

A major challenge in video segmentation is that the foreground object may move quickly in
the scene at the same time its appearance and shape evolves over time. While pairwise …

Object localization and segmentation in weakly labeled videos are two interesting yet
challenging tasks. Models built for simultaneous object localization and segmentation have …

Can humans fly? Emphatically no. Can cars eat? Again, absolutely not. Yet, these absurd
inferences result from the current disregard for particular types of actors in action …

The ubiquitous availability of Internet video offers the vision community the exciting
opportunity to directly learn localized visual concepts from real-world imagery. Unfortunately …

Object localization is an important computer vision problem with a variety of applications.
The lack of large scale object-level annotations and the relative abundance of image-level …