3 papers
cs.CV2022
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…
cs.CV2021
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…
cs.CV2021
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…