Egocentric videos offer fine-grained information for high-fidelity modeling of human behaviors. Hands and interacting objects are one crucial aspect understanding a viewer’s behaviors intentions. We provide labeled dataset consisting 11,243 egocentric images with per-pixel segmentation labels hands being interacted during diverse array daily activities. Our is the first to label detailed hand-o...

Object tracking is a process of segmenting a region of interest from a video scene and keeping track of its motion, position and occlusion. The tracking is performed by monitoring objects’ spatial and temporal changes during a video sequence, including its presence, position, size, shape, etc. Object tracking is used in several applications such as video surveillance, robot vision, traffic moni...

Existing generative video models work well only for videos with a static background. For dynamic scenes, applications of these models demand an extra pre-processing step of background stabilization. In fact, the task of background stabilization may very often prove impossible for videos in the wild. To the best of our knowledge, we present the first video generation framework that works in the ...

Image inpainting is a art of missing value or a data in an image. The purpose of image inpainting is to reconstruct missing regions which is visible for human eyes. Image inpainting is the process of reconstructing lost part of images based on the background information. Image inpainting is a technique for restoring damaged old photographs and removing undesired objects from an image. The basic...

This paper discusses the new inpainting algorithm which uses the superpixel constraints with the Exemplar-based inpainting technique for bringing the realistic view in the 3D model developed by the interactive 3D indoor modeler. The inpainting algorithm is exclusively developed for the interactive 3D indoor modeler in which the user can create 3D indoor models from a single photo or multiple ph...

Digital inpainting methods provide an important tool in the restoration of images in a wide range of applications. We present mathematical methods with certain higher order partial differential equations for the inpainting of ancient frescoes. In particular we discuss the Cahn-Hilliard equation for the inpainting of binary structure and a higher order total variation approach. As an example for...

With the increasing negative impact of fake videos on individuals and society, it is crucial to detect different types forgeries. Existing forgery detection methods often output a probability value, which lacks interpretability reliability. In this paper, we propose source-tracing-based solution find original real video video, can provide more reliable results in practical situations. However, ...

In many imaging applications, there exists potential for corruption of the images by sources of structured noise that completely loses original pixel information. The reconstruction of the original image from its corrupted observation is known as image inpainting. This paper seeks to investigate image inpainting using a particular algorithm, the alternating direction method of multipliers (ADMM...

Finding optimal inpainting data plays a key role in the field of image compression with partial differential equations (PDEs). In this paper, we optimise the spatial as well as the tonal data such that an image can be reconstructed with minimised error by means of discrete homogeneous diffusion inpainting. To optimise the spatial distribution of the inpainting data, we apply a probabilistic dat...