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Found 5 papers, 1 papers with code
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning
Pre-trained Vision-Language (V-L) models set the benchmark for generalization to downstream tasks among the noteworthy contenders.
Progression-Guided Temporal Action Detection in Videos
The framework locates actions in videos by detecting the action evolution process.
Non-contact PPG Signal and Heart Rate Estimation with Multi-hierarchical Convolutional Network
Heartbeat rhythm and heart rate (HR) are important physiological parameters of the human body.
Serial-parallel Multi-Scale Feature Fusion for Anatomy-Oriented Hand Joint Detection
Accurate hand joints detection from images is a fundamental topic which is essential for many applications in computer vision and human computer interaction.
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition
Overall, our work unified graph embedding features to promotes systematic research on human action recognition.
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