no code implementations • 1 Aug 2022 • Felix Ott, Nisha Lakshmana Raichur, David Rügamer, Tobias Feigl, Heiko Neumann, Bernd Bischl, Christopher Mutschler
We show accuracy improvements for the APR-RPR task and for the RPR-RPR task for aerial vehicles and hand-held devices.
no code implementations • 24 Jun 2022 • David B. Adrian, Andras Gabor Kupcsik, Markus Spies, Heiko Neumann
In particular, we focus on training with multi-object data instead of singulated objects, combined with a well-chosen augmentation scheme.
no code implementations • 2020 International Conference on 3D Vision (3DV) 2021 • Basavaraj Hampiholi, Christian Jarvers, Wolfgang Mader, Heiko Neumann
Recent temporal convolution based approaches either use encoder-decoder(ED) architecture or dilations with doubling factor in consecutive convolution layers to segment actions in videos.
Ranked #21 on Action Segmentation on Breakfast
3 code implementations • CVPR 2020 • Yan Zhang, Mohamed Hassan, Heiko Neumann, Michael J. Black, Siyu Tang
However, this is a challenging task for a computer as solving it requires that (1) the generated human bodies to be semantically plausible within the 3D environment (e. g. people sitting on the sofa or cooking near the stove), and (2) the generated human-scene interaction to be physically feasible such that the human body and scene do not interpenetrate while, at the same time, body-scene contact supports physical interactions.
1 code implementation • 3 Jun 2019 • Yan Zhang, Krikamol Muandet, Qianli Ma, Heiko Neumann, Siyu Tang
In this paper, we propose an approach to representing high-order information for temporal action segmentation via a simple yet effective bilinear form.
1 code implementation • CVPR 2019 • Yan Zhang, Siyu Tang, Krikamol Muandet, Christian Jarvers, Heiko Neumann
Fine-grained temporal action parsing is important in many applications, such as daily activity understanding, human motion analysis, surgical robotics and others requiring subtle and precise operations in a long-term period.
no code implementations • 5 Dec 2018 • Yan Zhang, Heiko Neumann
Detecting unintended falls is essential for ambient intelligence and healthcare of elderly people living alone.
1 code implementation • 9 Aug 2018 • Alex Bäuerle, Heiko Neumann, Timo Ropinski
We thus propose a novel approach that uses the power of pretrained classifiers to visually guide users to noisy labels, and let them interactively check error candidates, to iteratively improve the training data set.
1 code implementation • 15 Mar 2018 • Yan Zhang, He Sun, Siyu Tang, Heiko Neumann
We present an effective dynamic clustering algorithm for the task of temporal human action segmentation, which has comprehensive applications such as robotics, motion analysis, and patient monitoring.
no code implementations • LREC 2012 • Stefan Scherer, Georg Layher, John Kane, Heiko Neumann, Nick Campbell
Additionally, we compare the gaze behavior of the human subjects to evaluate saliency regions in the multimodal and visual only conditions.