Automatic estimation of salient object regions across images, without any prior assumption
or knowledge of the contents of the corresponding scenes, enhances many computer vision …

This paper addresses the problem of pixel-level segmentation and classification of scene
images with an entirely learning-based approach using Long Short Term Memory (LSTM) …

Recent advent of graph signal processing (GSP) has spurred intensive studies of signals
that live naturally on irregular data kernels described by graphs (eg, social networks …

This paper presents interactive image editing tools using a new randomized algorithm for
quickly finding approximate nearestneighbor matches between image patches. Previous …

Parallax handling is a challenging task for image stitching. This paper presents a local
stitching method to handle parallax based on the observation that input images do not need …

Image stitching aims at generating high-quality panoramas with the lowest computational
cost. In this paper, we propose a parallax-tolerant image stitching method based on robust …

To detect visually salient elements of complex natural scenes, computational bottom-up
saliency models commonly examine several feature channels such as color and orientation …

We describe a technique that transforms a video from a hand-held video camera so that it
appears as if it were taken with a directed camera motion. Our method adjusts the video to …

In this paper, we introduce a novel technique to automatically detect salient regions of an
image via high-dimensional color transform. Our main idea is to represent a saliency map of …

This paper describes a method to construct seamless image mosaics of a panoramic scene
containing two predominate planes: a distant back plane and a ground plane that sweeps …