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Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder
Early detection of autism, a neurodevelopmental disorder marked by social communication challenges, is crucial for timely intervention.
Advancing Human Action Recognition with Foundation Models trained on Unlabeled Public Videos
These results highlight the potential of using unstructured and unlabeled videos as a valuable source of diverse and dynamic content for training foundation models.
Computer Vision Estimation of Emotion Reaction Intensity in the Wild
Emotions play an essential role in human communication.
TempT: Temporal consistency for Test-time adaptation
We introduce Temporal consistency for Test-time adaptation (TempT) a novel method for test-time adaptation on videos through the use of temporal coherence of predictions across sequential frames as a self-supervision signal.
Facial Expression Recognition
Facial Expression Recognition (FER)
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Mitigating Negative Transfer in Multi-Task Learning with Exponential Moving Average Loss Weighting Strategies
Multi-Task Learning (MTL) is a growing subject of interest in deep learning, due to its ability to train models more efficiently on multiple tasks compared to using a group of conventional single-task models.
