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Junyao Wang

2 accepted papers

2025

Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception

CVPR 2025poster

Uncertainty Quantification (UQ) is crucial for ensuring the reliability of machine learning models deployed in real-world autonomous systems. However, existing approaches typically quantify task-level output prediction uncertainty without considering epistemic uncertainty at the multimodal feature f…

Cited by 1SourcePDFScholar
2025

Transformer-Based Contrastive Meta-Learning For Low-Resource Generalizable Activity Recognition

ICASSP 2025accepted

Deep learning has been widely adopted for human activity recognition (HAR) while generalizing a trained model across diverse users and scenarios remains challenging due to distribution shifts (DS). The inherent low-resource challenge in HAR, i.e., collecting and labeling adequate human-involved data…

Cited by 0SourceScholar