1 code implementation • 27 Nov 2017 • Xin Li, Qiao Liu, Nana Fan, Zhenyu He, Hongzhi Wang
In this paper, we cast the TIR tracking problem as a similarity verification task, which is coupled well to the objective of the tracking task.
no code implementations • 23 Mar 2018 • Nana Fan, Zhenyu He
The IRs in training samples from cyclic shifts of the base training sample severely degrade the quality of a tracking model.
1 code implementation • 9 Jun 2019 • Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Hongpeng Wang
These two similarities complement each other and hence enhance the discriminative capacity of the network for handling distractors.
1 code implementation • 26 Nov 2019 • Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yonsheng Liang
These two feature models are learned using a multi-task matching framework and are jointly optimized on the TIR tracking task.
no code implementations • 3 Jul 2020 • Di Yuan, Xiu Shu, Nana Fan, Xiaojun Chang, Qiao Liu, Zhenyu He
Moreover, we introduce a classification part that is trained online and optimized with a Conjugate-Gradient-based strategy to guarantee real-time tracking speed.
1 code implementation • 3 Aug 2020 • Qiao Liu, Xin Li, Zhenyu He, Chenglong Li, Jun Li, Zikun Zhou, Di Yuan, Jing Li, Kai Yang, Nana Fan, Feng Zheng
We evaluate and analyze more than 30 trackers on LSOTB-TIR to provide a series of baselines, and the results show that deep trackers achieve promising performance.
Thermal Infrared Object Tracking Vocal Bursts Intensity Prediction
no code implementations • 13 Sep 2020 • Honghu Pan, Fanyang Meng, Nana Fan, Zhenyu He
Our method has the following two advantages: (1) We are the first to consider neighborhood information of descriptors, while former works mainly focus on neighborhood consistency of feature points; (2) Our method can be applied in any former work of learning descriptors by triplet loss.
no code implementations • 23 Aug 2021 • Jian Zhao, Gang Wang, Jianan Li, Lei Jin, Nana Fan, Min Wang, Xiaojuan Wang, Ting Yong, Yafeng Deng, Yandong Guo, Shiming Ge, Guodong Guo
The 2nd Anti-UAV Workshop \& Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking.