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pro vyhledávání: '"Negenborn"'
Autor:
Vujasinović, Stéphane, Becker, Stefan, Bullinger, Sebastian, Scherer-Negenborn, Norbert, Arens, Michael, Stiefelhagen, Rainer
In this paper, we introduce a variant of video object segmentation (VOS) that bridges interactive and semi-automatic approaches, termed Lazy Video Object Segmentation (ziVOS). In contrast, to both tasks, which handle video object segmentation in an o
Externí odkaz:
http://arxiv.org/abs/2408.00169
This paper presents a distributed solution for the problem of collaborative collision avoidance for autonomous inland waterway ships. A two-layer collision avoidance framework that considers inland waterway traffic regulations is proposed to increase
Externí odkaz:
http://arxiv.org/abs/2403.00554
Autor:
Jan Maerten Smit, Victor D. Plat, Marijn L.Q. van Est, Susanne van der Velde, Freek Daams, Vera L. Negenborn
Publikováno v:
JPRAS Open, Vol 42, Iss , Pp 10-21 (2024)
Background: Breast cancer is the most common cancer in women, and breast reconstruction improves the patient's quality of life. Autologous breast reconstruction provides benefits of natural appearance, feel, and long-term results without implant-asso
Externí odkaz:
https://doaj.org/article/83d0f11d2e2540a49fdda00f61ae7293
Autor:
Vujasinović, Stéphane, Bullinger, Sebastian, Becker, Stefan, Scherer-Negenborn, Norbert, Arens, Michael, Stiefelhagen, Rainer
Publikováno v:
34th British Machine Vision Conference 2023, {BMVC} 2023, Aberdeen, UK, November 20-24, 2023
We present READMem (Robust Embedding Association for a Diverse Memory), a modular framework for semi-automatic video object segmentation (sVOS) methods designed to handle unconstrained videos. Contemporary sVOS works typically aggregate video frames
Externí odkaz:
http://arxiv.org/abs/2305.12823
Autor:
Smit, Jan Maerten, Plat, Victor D., van Est, Marijn L.Q., van der Velde, Susanne, Daams, Freek, Negenborn, Vera L.
Publikováno v:
In JPRAS Open December 2024 42:10-21
Publikováno v:
In Ocean Engineering 1 November 2024 311 Part 1
Autor:
Vujasinovic, Stephane, Bullinger, Sebastian, Becker, Stefan, Scherer-Negenborn, Norbert, Arens, Michael, Stiefelhagen, Rainer
Publikováno v:
IEEE International Conference on Image Processing (ICIP), 2022, pp. 2756-2760
While current methods for interactive Video Object Segmentation (iVOS) rely on scribble-based interactions to generate precise object masks, we propose a Click-based interactive Video Object Segmentation (CiVOS) framework to simplify the required use
Externí odkaz:
http://arxiv.org/abs/2203.01784
Publikováno v:
In Renewable Energy September 2024 231
Publikováno v:
In Transportation Research Part E May 2024 185