1 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
FILS: Self-Supervised Video Feature Prediction In Semantic Language Space
Mona Ahmadian, Frank Guerin, Andrew Gilbert
This paper demonstrates a self-supervised approach for learning semantic video representations. Recent vision studies show that a masking strategy for vision and natural language s…