ActiveVital reformulates vital signs monitoring as active geometric control, using vision to steer robot-mounted mmWave radar to near-normal incidence and reporting large reductions in respiration and heart rate errors under unconstrained conditions.
and Yang, J
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3representative citing papers
PTA framework purifies noisy multimodal data via meta-learning and distills cross-modal knowledge through diffusion to create robust single-modality models under missing modalities.
Adding a dispersion loss plus a bounded cross-modal drift penalty to intermediate embeddings improves unimodal and multimodal accuracy across audio-visual, image-text, and RF benchmarks.
citing papers explorer
-
ActiveVital: Geometry-Aware Embodied Vital Signs Monitoring for Home Healthcare Robots
ActiveVital reformulates vital signs monitoring as active geometric control, using vision to steer robot-mounted mmWave radar to near-normal incidence and reporting large reductions in respiration and heart rate errors under unconstrained conditions.
-
Purify-then-Align: Towards Robust Human Sensing under Modality Missing with Knowledge Distillation from Noisy Multimodal Teacher
PTA framework purifies noisy multimodal data via meta-learning and distills cross-modal knowledge through diffusion to create robust single-modality models under missing modalities.
-
Diverse via bounded Agreement: Geometric Regularization for Multimodal Fusion
Adding a dispersion loss plus a bounded cross-modal drift penalty to intermediate embeddings improves unimodal and multimodal accuracy across audio-visual, image-text, and RF benchmarks.