We expect to receive 20 papers, one of which will be selected as the best paper for oral presentation.

Submission Deadline: March 25, 2025

Submission Link: https://easychair.org/my/conference?conf=antiuav2025


Topics of interest

The submissions are expected to deal with visual perception and processing tasks which include but are not limited to:

  • Applications of computer vision and machine learning on anti-UAV
  • Strategies for searching UAVs based on RGB/NIR data
  • Spectrum sensing techniques for UAVs detection
  • Localization and open-set identification of UAVs
  • Scene understanding for anti-UAV
  • Small/tiny object detection and tracking techniques
  • Fine-grained UAV target recognition
  • Real-time lightweight deep learning inference for anti-UAV
  • Infrared image and video analysis for anti-UAV
  • Large-scale benchmark datasets on anti-UAV
  • Biologically inspired computer vision techniques for anti-UAV
  • Multi-modal perception of UAV
  • Technical survey on anti-UAV

Our workshop takes a unique approach compared to other UAV-related workshops, which primarily focus on visual tracking, SLAM, and depth perception from a drone’s perspective. In contrast, we focus on detecting and tracking UAVs, tiny objects often hidden in complex environments, and aim to promote machine learning techniques for anti-UAV tasks by providing large-scale datasets


This workshop seeks to bridge the gap between industry needs and academic research, accelerating the integration of computer vision technologies into practical public security applications.


Important Dates

  • Submission Deadline: March 25, 2025
  • Notification of Acceptance: March 29, 2025
  • Workshop Dates: June 12, 2025


Paper Submission Guidelines

  • Submissions must adhere to the CVPR 2025 paper submission style, format, and length restrictions
  • All submissions will undergo peer review, and accepted papers will be presented at the Anti-UAV2025 workshop
  • Papers will be considered for publication in the workshop proceedings, depending on the review outcome and workshop arrangements



Citations

         
    @article{jiang2021anti,
      title={Anti-UAV: A large-scale benchmark for vision-based UAV tracking},
      author={Jiang, Nan and Wang, Kuiran and Peng, Xiaoke and Yu, Xuehui and Wang, Qiang and Xing, Junliang and Li, Guorong and Guo, Guodong and Ye, Qixiang and Jiao, Jianbin and others},
      journal={IEEE Transactions on Multimedia},
      volume={25},
      pages={486--500},
      year={2021},
      publisher={IEEE}
    }
      
      
         
    @article{huang2023anti,
      title={Anti-UAV410: A thermal infrared benchmark and customized scheme for tracking drones in the wild},
      author={Huang, Bo and Li, Jianan and Chen, Junjie and Wang, Gang and Zhao, Jian and Xu, Tingfa},
      journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
      volume={46},
      number={5},
      pages={2852--2865},
      year={2023},
      publisher={IEEE}
    }