@inproceedings{e0db1ddd3a7f4718b0c4e90038bd0f07,
title = "Exploiting Probabilistic Siamese Visual Tracking with a Conditional Variational Autoencoder",
author = "Wenhui Huang and Jason Gu and Peiyong Duan and Sujuan Hou and Yuanjie Zheng",
note = "Funding Information: ACKNOWLEDGMENTS This work is supported by the Fund of National Nature Science Foundation, China [62003196; 62073201; 62072289; 61572300; 81871508; 61773246]; the Fund of Provincial Nature Science Foundation, Shandong, China [ZR2020QF032]; the Taishan Scholar Program of Shandong Province, China [TSHW201502038]; the Major Program of Shandong Province Natural Science Foundation, China [ZR2019ZD04; ZR2018ZB0419]; and the Natural Sciences and Engineering Research Council of Canada (NSERC). Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 IEEE International Conference on Robotics and Automation, ICRA 2021 ; Conference date: 30-05-2021 Through 05-06-2021",
year = "2021",
doi = "10.1109/ICRA48506.2021.9561757",
language = "English",
series = "Proceedings - IEEE International Conference on Robotics and Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "14171--14177",
booktitle = "2021 IEEE International Conference on Robotics and Automation, ICRA 2021",
address = "United States",
}