283 citations · 295 across the 21 of their papers we have counts for
4 papers · 1 filter
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight
Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek
This paper strives to recognize activities in the dark, as well as in the day. We first establish that state-of-the-art activity recognizers are effective during the day, but not t…
Audio-Adaptive Activity Recognition Across Video Domains
Yunhua Zhang, Hazel Doughty, Ling Shao +1
This paper strives for activity recognition under domain shift, for example caused by change of scenery or camera viewpoint. The leading approaches reduce the shift in activity app…
How Severe is Benchmark-Sensitivity in Video Self-Supervised Learning?
Fida Mohammad Thoker, Hazel Doughty, Piyush Bagad +1
Despite the recent success of video self-supervised learning models, there is much still to be understood about their generalization capability. In this paper, we investigate how s…
How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
Hazel Doughty, Cees G. M. Snoek
We aim to understand how actions are performed and identify subtle differences, such as 'fold firmly' vs. 'fold gently'. To this end, we propose a method which recognizes adverbs a…