1 citations · 1 across the 4 of their papers we have counts for
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Distill and Collect for Semi-Supervised Temporal Action Segmentation
Sovan Biswas, Anthony Rhodes, Ramesh Manuvinakurike +2
Recent temporal action segmentation approaches need frame annotations during training to be effective. These annotations are very expensive and time-consuming to obtain. This limit…
Hierarchical Graph-RNNs for Action Detection of Multiple Activities
Sovan Biswas, Yaser Souri, Juergen Gall
In this paper, we propose an approach that spatially localizes the activities in a video frame where each person can perform multiple activities at the same time. Our approach take…
Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting
Sovan Biswas, Juergen Gall
Since collecting and annotating data for spatio-temporal action detection is very expensive, there is a need to learn approaches with less supervision. Weakly supervised approaches…
Structural Recurrent Neural Network (SRNN) for Group Activity Analysis
Sovan Biswas, Juergen Gall
A group of persons can be analyzed at various semantic levels such as individual actions, their interactions, and the activity of the entire group. In this paper, we propose a stru…