4 citations · 4 across the 2 of their papers we have counts for
3 papers
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition
Neel Trivedi, Ravi Kiran Sarvadevabhatla
Pose-based action recognition is predominantly tackled by approaches which treat the input skeleton in a monolithic fashion, i.e. joints in the pose tree are processed as a whole.…
NTU-X: An Enhanced Large-scale Dataset for Improving Pose-based Recognition of Subtle Human Actions
Neel Trivedi, Anirudh Thatipelli, Ravi Kiran Sarvadevabhatla
The lack of fine-grained joints (facial joints, hand fingers) is a fundamental performance bottleneck for state of the art skeleton action recognition models. Despite this bottlene…
Quo Vadis, Skeleton Action Recognition ?
Pranay Gupta, Anirudh Thatipelli, Aditya Aggarwal +4
In this paper, we study current and upcoming frontiers across the landscape of skeleton-based human action recognition. To study skeleton-action recognition in the wild, we introdu…