99 citations · 257 across the 18 of their papers we have counts for
4 papers · 1 filter
Recurrent Residual Learning for Action Recognition
Ahsan Iqbal, Alexander Richard, Hilde Kuehne +1
Action recognition is a fundamental problem in computer vision with a lot of potential applications such as video surveillance, human computer interaction, and robot learning. Give…
Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints
Alexander Richard, Hilde Kuehne, Juergen Gall
Action detection and temporal segmentation of actions in videos are topics of increasing interest. While fully supervised systems have gained much attention lately, full annotation…
A Bag-of-Words Equivalent Recurrent Neural Network for Action Recognition
Alexander Richard, Juergen Gall
The traditional bag-of-words approach has found a wide range of applications in computer vision. The standard pipeline consists of a generation of a visual vocabulary, a quantizati…
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling
Alexander Richard, Hilde Kuehne, Juergen Gall
We present an approach for weakly supervised learning of human actions. Given a set of videos and an ordered list of the occurring actions, the goal is to infer start and end frame…