1 code implementation • 24 Aug 2023 • Santiago Estrada, David Kügler, Emad Bahrami, Peng Xu, Dilshad Mousa, Monique M. B. Breteler, N. Ahmad Aziz, Martin Reuter
The hypothalamus plays a crucial role in the regulation of a broad range of physiological, behavioural, and cognitive functions.
1 code implementation • ICCV 2023 • Emad Bahrami, Gianpiero Francesca, Juergen Gall
In this work, we try to answer how much long-term temporal context is required for temporal action segmentation by introducing a transformer-based model that leverages sparse attention to capture the full context of a video.
Ranked #1 on Action Segmentation on Assembly101
no code implementations • 12 Oct 2022 • Yaser Souri, Yazan Abu Farha, Emad Bahrami, Gianpiero Francesca, Juergen Gall
As obtaining annotations to train an approach for action segmentation in a fully supervised way is expensive, various approaches have been proposed to train action segmentation models using different forms of weak supervision, e. g., action transcripts, action sets, or more recently timestamps.
no code implementations • 27 Oct 2021 • Saber Pourheydari, Emad Bahrami, Mohsen Fayyaz, Gianpiero Francesca, Mehdi Noroozi, Juergen Gall
While recurrent neural networks (RNNs) demonstrate outstanding capabilities for future video frame prediction, they model dynamics in a discrete time space, i. e., they predict the frames sequentially with a fixed temporal step.
1 code implementation • CVPR 2021 • Mohsen Fayyaz, Emad Bahrami, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc van Gool, Juergen Gall
While the GFLOPs of a 3D CNN can be decreased by reducing the temporal feature resolution within the network, there is no setting that is optimal for all input clips.