Multimodal learning assumes all modality combinations of interest are
av...
State-of-the-art activity recognizers are effective during the day, but ...
Existing RGB-D SOD methods mainly rely on a symmetric two-stream CNN-bas...
This paper strives for activity recognition under domain shift, for exam...
This paper strives for repetitive activity counting in videos. Different...
Long-term visual tracking has drawn increasing attention because it is m...
In the long-term single object tracking task, the target moves out of vi...