37 citations · 48 across the 7 of their papers we have counts for
7 papers
Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
Moritz Einfalt, Katja Ludwig, Rainer Lienhart
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 eff…
Extended Self-Critical Pipeline for Transforming Videos to Text (TRECVID-VTT Task 2021) -- Team: MMCUniAugsburg
Philipp Harzig, Moritz Einfalt, Katja Ludwig +1
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 ba…
Synchronized Audio-Visual Frames with Fractional Positional Encoding for Transformers in Video-to-Text Translation
Philipp Harzig, Moritz Einfalt, Rainer Lienhart
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 Yo…
Error Bounds of Projection Models in Weakly Supervised 3D Human Pose Estimation
Nikolas Klug, Moritz Einfalt, Stephan Brehm +1
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…
Decoupling Video and Human Motion: Towards Practical Event Detection in Athlete Recordings
Moritz Einfalt, Rainer Lienhart
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…
Mining Automatically Estimated Poses from Video Recordings of Top Athletes
Rainer Lienhart, Moritz Einfalt, Dan Zecha
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…