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Found 5 papers, 1 papers with code
Human in the loop approaches in multi-modal conversational task guidance system development
Development of task guidance systems for aiding humans in a situated task remains a challenging problem.
Distill and Collect for Semi-Supervised Temporal Action Segmentation
Recent temporal action segmentation approaches need frame annotations during training to be effective.
Hierarchical Graph-RNNs for Action Detection of Multiple Activities
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.
Discovering Multi-Label Actor-Action Association in a Weakly Supervised Setting
Since computing, the probabilities for the full power set becomes intractable as the number of action classes increases, we assign an action set to each detected person under the constraint that the assignment is consistent with the annotation of the video clip.
Structural Recurrent Neural Network (SRNN) for Group Activity Analysis
In this paper, we propose a structural recurrent neural network (SRNN) that uses a series of interconnected RNNs to jointly capture the actions of individuals, their interactions, as well as the group activity.
