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pro vyhledávání: '"Einfalt, Moritz"'
The state-of-the-art for monocular 3D human pose estimation in videos is dominated by the paradigm of 2D-to-3D pose uplifting. While the uplifting methods themselves are rather efficient, the true computational complexity depends on the per-frame 2D
Externí odkaz:
http://arxiv.org/abs/2210.06110
The Multimedia and Computer Vision Lab of the University of Augsburg participated in the VTT task only. We use the VATEX and TRECVID-VTT datasets for training our VTT models. We base our model on the Transformer approach for both of our submitted run
Externí odkaz:
http://arxiv.org/abs/2112.14100
Video-to-Text (VTT) is the task of automatically generating descriptions for short audio-visual video clips, which can support visually impaired people to understand scenes of a YouTube video for instance. Transformer architectures have shown great p
Externí odkaz:
http://arxiv.org/abs/2112.14088
The current state-of-the-art in monocular 3D human pose estimation is heavily influenced by weakly supervised methods. These allow 2D labels to be used to learn effective 3D human pose recovery either directly from images or via 2D-to-3D pose uplifti
Externí odkaz:
http://arxiv.org/abs/2010.12317
Autor:
Einfalt, Moritz, Lienhart, Rainer
In this paper we address the problem of motion event detection in athlete recordings from individual sports. In contrast to recent end-to-end approaches, we propose to use 2D human pose sequences as an intermediate representation that decouples human
Externí odkaz:
http://arxiv.org/abs/2004.09776
Human pose detection systems based on state-of-the-art DNNs are on the go to be extended, adapted and re-trained to fit the application domain of specific sports. Therefore, plenty of noisy pose data will soon be available from videos recorded at a r
Externí odkaz:
http://arxiv.org/abs/1804.08944
In this paper we consider the problem of human pose estimation in real-world videos of swimmers. Swimming channels allow filming swimmers simultaneously above and below the water surface with a single stationary camera. These recordings can be used t
Externí odkaz:
http://arxiv.org/abs/1802.00634