187 citations · 236 across the 4 of their papers we have counts for
4 papers
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition
Ali Modarressi, Mohsen Fayyaz, Ehsan Aghazadeh +2
An emerging solution for explaining Transformer-based models is to use vector-based analysis on how the representations are formed. However, providing a faithful vector-based expla…
Long Short View Feature Decomposition via Contrastive Video Representation Learning
Nadine Behrmann, Mohsen Fayyaz, Juergen Gall +1
Self-supervised video representation methods typically focus on the representation of temporal attributes in videos. However, the role of stationary versus non-stationary attribute…
Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification
Ali Diba, Mohsen Fayyaz, Vivek Sharma +4
The work in this paper is driven by the question how to exploit the temporal cues available in videos for their accurate classification, and for human action recognition in particu…
STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
Mohsen Fayyaz, Mohammad Hajizadeh Saffar, Mohammad Sabokrou +3
This paper presents a novel method to involve both spatial and temporal features for semantic video segmentation. Current work on convolutional neural networks(CNNs) has shown that…