As a fundamental task in computer vision, visual object tracking has received much attention
in recent years. Most studies focus on short-term visual tracking which addresses shorter …

In this paper, we address the problem of long-term visual tracking where the target objects
undergo significant appearance variation due to deformation, abrupt motion, heavy …

Being intensively studied, visual tracking has seen great recent advances in either speed
(eg, with correlation filters) or accuracy (eg, with deep features). Real-time and high …

We propose an effective approach for spatio-temporal action localization in realistic videos.
The approach first detects proposals at the frame-level and scores them with a combination …

Visual tracking is challenging as target objects often undergo significant appearance
changes caused by deformation, abrupt motion, background clutter and occlusion. In this …

Object tracking is challenging as target objects often undergo drastic appearance changes
over time. Recently, adaptive correlation filters have been successfully applied to object …

Over these years, Correlation Filter-based Trackers (CFTs) have aroused increasing
interests in the field of visual object tracking, and have achieved extremely compelling …

Conventional video inpainting is neither object-oriented nor occlusion-aware, making it
liable to obvious artifacts when large occluded object regions are inpainted. This paper …

Abstract Visual Query Localization on long-form egocentric videos requires spatio-temporal
search and localization of visually specified objects and is vital to build episodic memory …

We propose a new long video dataset (called Track Long and Prosper-TLP) and benchmark
for single object tracking. The dataset consists of 50 HD videos from real world scenarios …