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Xue-Feng Zhu

Researcher at Jiangnan University

Publications -  18
Citations -  720

Xue-Feng Zhu is an academic researcher from Jiangnan University. The author has contributed to research in topics: Computer science & Video tracking. The author has an hindex of 4, co-authored 10 publications receiving 262 citations.

Papers
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Proceedings ArticleDOI

The Seventh Visual Object Tracking VOT2019 Challenge Results

Matej Kristan, +179 more
TL;DR: The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative; results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
Book ChapterDOI

The Eighth Visual Object Tracking VOT2020 Challenge Results

Matej Kristan, +109 more
TL;DR: A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in theVDT challenges.
Proceedings ArticleDOI

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan, +131 more
Journal ArticleDOI

Complementary Discriminative Correlation Filters Based on Collaborative Representation for Visual Object Tracking

TL;DR: This work proposes the use of a collaborative representation between successive frames to extract the dynamic appearance information from a target with rapid appearance changes, which results in suppressing the undesirable impact of the background.
Journal ArticleDOI

Adaptive feature fusion for visual object tracking

TL;DR: This paper proposes an adaptive feature fusion mechanism, which can balance the detection granularities from shallow to deep convolutional layers, and employs the correlation between template and instance to achieve advanced saliency and discrimination.