Qiao Liu (刘乔)

Qiao Liu (刘乔)

Ph.D. of Harbin Institute of Technology (Shenzhen)

Posts by Collection

portfolio

publications

Multi-Task Driven Feature Models for Thermal Infrared Tracking

Published in Proceedings of the 34th AAAI Conference on Artifical Intelligence (AAAI2020), 2020

Existing deep Thermal InfraRed (TIR) trackers usually use the feature models of RGB trackers for representation. However, these feature models learned on RGB images are neither effective in representing TIR objects nor taking fine-grained TIR information into consideration. To this end, we develop a multi-task framework to learn the TIR-specific discriminative features and fine-grained correlation features for TIR object tracking. Read more

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Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking

Published in IEEE Transactions on Multimedia, 2020

Existing deep Thermal InfraRed (TIR) trackers only use semantic features to represent the TIR object, which lack the sufficient discriminative capacity for handling distractors. This becomes worse when the feature extraction network is only trained on RGB images. To address this issue, we propose a multi-level similarity model under a Siamese framework for robust TIR object tracking. Read more

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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post. Read more

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post. Read more