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pro vyhledávání: '"Becker, Stefan"'
An appropriate data basis grants one of the most important aspects for training and evaluating probabilistic trajectory prediction models based on neural networks. In this regard, a common shortcoming of current benchmark datasets is their limitation
Externí odkaz:
http://arxiv.org/abs/2404.04397
Data pooling offers various advantages, such as increasing the sample size, improving generalization, reducing sampling bias, and addressing data sparsity and quality, but it is not straightforward and may even be counterproductive. Assessing the eff
Externí odkaz:
http://arxiv.org/abs/2311.09768
The three-dimensional reconstruction of vocal folds in medicine usually involves endoscopy and an approach to extract depth information like structured light or stereo matching of images. The resulting mesh can accurately represent the superior area
Externí odkaz:
http://arxiv.org/abs/2310.03514
Adversarial patches are still a simple yet powerful white box attack that can be used to fool object detectors by suppressing possible detections. The patches of these so-called evasion attacks are computational expensive to produce and require full
Externí odkaz:
http://arxiv.org/abs/2306.10963
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
Probabilistic models for sequential data are the basis for a variety of applications concerned with processing timely ordered information. The predominant approach in this domain is given by recurrent neural networks, implementing either an approxima
Externí odkaz:
http://arxiv.org/abs/2205.01754
Publikováno v:
Journal of Medical Internet Research, Vol 16, Iss 8, p e184 (2014)
There are few mechanisms that bring the academic and business worlds together in a way that would maximize the success of health technology (health tech) start-ups by increasing researchers’ knowledge about how to operate in the business world. Exi
Externí odkaz:
https://doaj.org/article/d3a9d60bdddc44b08d79272891db5ea4
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