Federated learning has become a popular method to learn from decentraliz...
Weakly-supervised audio-visual video parsing (WS-AVVP) aims to localize ...
Most existing state-of-the-art video classification methods assume the
t...
Grounding temporal video segments described in natural language queries
...
We target at the task of weakly-supervised action localization (WSAL), w...
Pedestrian counting is a fundamental tool for understanding pedestrian
p...
We target at the task of weakly-supervised video object grounding (WSVOG...
In recent years, anomaly events detection in crowd scenes attracts many
...
Crowd localization is a new computer vision task, evolved from crowd
cou...
Crowd counting on the drone platform is an interesting topic in computer...
Health management is getting increasing attention all over the world.
Ho...
Unlabeled data learning has attracted considerable attention recently.
H...
Drones shooting can be applied in dynamic traffic monitoring, object
det...
Visual crowd counting has been recently studied as a way to enable peopl...
Cross-domain crowd counting (CDCC) is a hot topic due to its importance ...
Accurately estimating the number of objects in a single image is a
chall...
For pixel-level crowd understanding, it is time-consuming and laborious ...
In the last decade, crowd counting attracts much attention of researcher...
Recently, crowd counting using supervised learning achieves a remarkable...
With the development of deep neural networks, the performance of crowd
c...
Recently, crowd counting is a hot topic in crowd analysis. Many CNN-base...
This technical report attempts to provide efficient and solid kits addre...
Crowd counting from a single image is a challenging task due to high
app...
Road detection from the perspective of moving vehicles is a challenging ...
Street scene understanding is an essential task for autonomous driving. ...
Semantic segmentation, a pixel-level vision task, is developed rapidly b...
Recently, counting the number of people for crowd scenes is a hot topic
...