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Found 6 papers, 4 papers with code
OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
Object counting is pivotal for understanding the composition of scenes.
Ranked #1 on
Object Counting
on Omnicount-191
Actor-agnostic Multi-label Action Recognition with Multi-modal Query
Existing action recognition methods are typically actor-specific due to the intrinsic topological and apparent differences among the actors.
Ranked #1 on
Action Recognition
on HMDB51
Time-varying Signals Recovery via Graph Neural Networks
The recovery of time-varying graph signals is a fundamental problem with numerous applications in sensor networks and forecasting in time series.
Recovery of Missing Sensor Data by Reconstructing Time-varying Graph Signals
Wireless sensor networks are among the most promising technologies of the current era because of their small size, lower cost, and ease of deployment.
Moving Object Detection for Event-based vision using Graph Spectral Clustering
However, these advantages come at a high cost, as the event camera data typically contains more noise and has low resolution.
Ranked #1 on
Moving Object Detection
on DVSMOTION20
Moving Object Detection for Event-based Vision using k-means Clustering
Moving object detection is important in computer vision.
