115 citations · 216 across the 23 of their papers we have counts for
4 papers · 1 filter
NUTA: Non-uniform Temporal Aggregation for Action Recognition
Xinyu Li, Chunhui Liu, Bing Shuai +3
In the world of action recognition research, one primary focus has been on how to construct and train networks to model the spatial-temporal volume of an input video. These methods…
A Comprehensive Study of Deep Video Action Recognition
Yi Zhu, Xinyu Li, Chunhui Liu +7
Video action recognition is one of the representative tasks for video understanding. Over the last decade, we have witnessed great advancements in video action recognition thanks t…
Multi-Label Activity Recognition using Activity-specific Features and Activity Correlations
Yanyi Zhang, Xinyu Li, Ivan Marsic
Multi-label activity recognition is designed for recognizing multiple activities that are performed simultaneously or sequentially in each video. Most recent activity recognition n…
Directional Temporal Modeling for Action Recognition
Xinyu Li, Bing Shuai, Joseph Tighe
Many current activity recognition models use 3D convolutional neural networks (e.g. I3D, I3D-NL) to generate local spatial-temporal features. However, such features do not encode c…