Workshop program (preliminary)

Sponsor: the Faculty of Computer and Information Science, University of Ljubljana.

Oral session I (08.25-10.00)

08.25 Welcome

08.30 The VOT2017 and VOT-TIR2017 challenge results

09.15 The VOT2017 winning tracker: TBA

09.30 Spotlight presentations of the poster session

Poster session (10.00-11.00)

  • UCT: Learning Unified Convolutional Networks for Real-time Visual Tracking

    Zheng Zhu (Institute of Automation, Chinese Academy of Sciences), Guan Huang (Horizon Robotics Inc.), Wei Zou (Institute of Automation, Chinese Academy of Sciences), Dalong Du (Horizon Robotics, Inc.), Chang Huang (Horizon Robotics, Inc.)

  • The Benefits of Evaluating Tracker Performance using Pixel-wise Segmentations

    Tobias Böttger (MVTec Software GmbH), Patrick Follmann (MVTec Software GmbH)

  • Correlation Filters with Weighted Convolution Responses

    Zhiqun He (Beijing University of Posts and Telecommunications), Yingruo Fan (Beijing University of Posts and Telecommunications), JunFei Zhuang (Beijing University of Posts and Telecommunications)

  • Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation

    Feng Li (Harbin Institute of Technology), Yingjie Yao (Harbin Institute of Technology), Peihua Li (Dalian University of Technology), D. Zhang (The Hong Kong Polytechnic University), Wangmeng Zuo (Harbin Institute of Technology, China), Ming-Hsuan Yang (University of California at Merced)

  • Recurrent Filter Learning for Visual Tracking

    Tianyu Yang (City University of Hong Kong), Antoni Chan (City University of Hong Kong)

Oral session II (11.00-12.30)

11.00 Invited/Keynote Talk: Davide Scaramuzza (title TBA)

11.30 Presentation of the VOT-TIR2017 winning tracker: TBA

11.45 The VOT-realtime challenge best performing tracker talk: TBA

12.00 Panel Discussion

12.30 Closing Remarks