Daitao Xing
Daitao Xing
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Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation
The exploration of mutual-benefit cross-domains has shown great potential toward accurate self-supervised depth estimation. In this work, we revisit feature fusion ….
Daitao Xing
,
Jingling Shen
,
Chiuman Ho
,
Anthony Tzes.
Drone Surveillance using Detection,Tracking and Classification Techniques
In this work, we explore the process of designing a long-term drone surveillance system by fusing object detection, tracking and classification methods…
Daitao Xing
,
Halil Utku Unlu
,
Nikolaos Evangeliou
,
Anthony Tzes.
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Mechatronic design of a delivery octarotor drone
This article describes the mechatronic design of a delivery octarotor drone equipped with safety features including protective bumpers for its propellers…
Nikolaos Evangeliou
,
Nikolaos Giakoumidis
,
Dimitris Chaikalis
,
Athanasios Tsoukalas
,
Halil Utku Unlu
,
Daitao Xing
,
Anthony Tzes.
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Siamese Adaptive Transformer Network for Real-Time Aerial Tracking
Recent visual object trackers provide strong dis- criminability towards accurate tracking under challenging sce- narios while neglecting the inference efficiency. Those methods handle all inputs …
Daitao Xing
,
Athanasios Tsoukalas
,
Nikolaos Evangeliou
,
Nikolaos Giakoumidis
,
Anthony Tzes.
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Siamese Transformer Pyramid Networks for Real-Time UAV Tracking
Recent object tracking methods depend upon deep networks or convoluted architectures. Most of those trackers can hardly meet real-time processing requirements on mobile platforms with limited computing resources. In this ….
Daitao Xing
,
Nikolaos Evangeliou
,
Athanasios Tsoukalas
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Computationally Efficient RGB-T UAV Detection and Tracking System
In this work, we propose a long-term UAV de- tection and tracking system from RGB-Thermal (RGB-T) sequences. The system consists of a high resolution daylight…
Daitao Xing
,
Athanasios Tsoukalas
,
Nikolaos Giakoumidis
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Deep learning assisted visual tracking of evader-UAV
In this work the visual tracking of an evading UAV using a pursuer-UAV is examined. The developed method combines principles of deep learning, optical flow, intra-frame homography ….
Athanasios Tsoukalas
,
Daitao Xing
,
Nikolaos Evangeliou
,
Nikolaos Giakoumidis
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