1 citations · 1 across the 3 of their papers we have counts for
3 papers
Hierarchical Vector Quantization for Unsupervised Action Segmentation
Federico Spurio, Emad Bahrami, Gianpiero Francesca +1
In this work, we address unsupervised temporal action segmentation, which segments a set of long, untrimmed videos into semantically meaningful segments that are consistent across…
Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation
Olga Zatsarynna, Emad Bahrami, Yazan Abu Farha +2
Long-term action anticipation has become an important task for many applications such as autonomous driving and human-robot interaction. Unlike short-term anticipation, predicting…
How Much Temporal Long-Term Context is Needed for Action Segmentation?
Emad Bahrami, Gianpiero Francesca, Juergen Gall
Modeling long-term context in videos is crucial for many fine-grained tasks including temporal action segmentation. An interesting question that is still open is how much long-term…