We present a novel framework to generate and rank plausible hypotheses for the spatial
extent of objects in images using bottom-up computational processes and mid-level …

The availability of quantitative online benchmarks for low-level vision tasks such as stereo
and optical flow has led to significant progress in the respective fields. This paper introduces …

We present a novel framework for generating and ranking plausible objects hypotheses in
an image using bottom-up processes and mid-level cues. The object hypotheses are …

We present a supervised learning-based method to estimate a per-pixel confidence for
optical flow vectors. Regions of low texture and pixels close to occlusion boundaries are …

This paper presents an iterated region merging-based graph cuts algorithm which is a novel
extension of the standard graph cuts algorithm. Graph cuts addresses segmentation in an …

Hierarchical image segmentation is a prevalent technique in the literature for improving
segmentation quality, where the segmentation result needs to be searched at different …

Image segmentation is a critical step in the analysis of high-spatial-resolution remotely
sensed imagery using object-based image analysis. The segmentation quality is extremely …

With the advancement of photo and video editing tools, it has become fairly easy to tamper
with photos and videos. One common way is to insert visually plausible composites into …

Graph cuts based interactive segmentation has become very popular over the last decade.
In standard graph cuts, the extraction of foreground object in a complex background often …

Image segmentation is a key component in many computer vision systems, and it is
recovering a prominent spot in the literature as methods improve and overcome their …