1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
Interpretable Action Recognition on Hard to Classify Actions
Anastasia Anichenko, Frank Guerin, Andrew Gilbert
We investigate a human-like interpretable model of video understanding. Humans recognise complex activities in video by recognising critical spatio-temporal relations among explici…
cs.CV2024★ 1 cited
DEAR: Depth-Enhanced Action Recognition
Sadegh Rahmaniboldaji, Filip Rybansky, Quoc Vuong +2
Detecting actions in videos, particularly within cluttered scenes, poses significant challenges due to the limitations of 2D frame analysis from a camera perspective. Unlike human…