Search Results for author:
Found 6 papers, 2 papers with code
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
In this work, we present a novel approach to multi-view action recognition where we guide learned action representations to be separated from view-relevant information in a video.
Ranked #1 on
Action Recognition
on N-UCLA
Video Action Detection: Analysing Limitations and Challenges
Beyond possessing large enough size to feed data hungry machines (eg, transformers), what attributes measure the quality of a dataset?
Violence Detection in Videos
To address this issue, an approach to automatically detect violent content in videos is proposed in this work.
TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos
While various approaches have been shown effective for recognition task in recent works, they often do not deal with videos of lower resolution where the action is happening in a tiny region.
Modeling Multi-Label Action Dependencies for Temporal Action Localization
We propose to improve action localization performance by modeling these action dependencies in a novel attention-based Multi-Label Action Dependency (MLAD)layer.
Ranked #1 on
Action Detection
on Multi-THUMOS
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos
For tubelet extraction, we propose a localization network which takes a video clip as input and spatio-temporally detects potential foreground regions at multiple scales to generate action tubelets.
