contrastive learning 1human activity recognition 1multimodal alignment 1wifi sensing 1zero-shot learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Zero-Fi: Zero-Shot Wi-Fi-Based Human Activity Recognition via Contrastive Signal-Language Alignment
Yitong Shen, Cheng Guo, Peiliang Wang +5
Zero-Fi introduces a contrastive learning framework that aligns Wi‑Fi signal features with natural‑language descriptions of activities, enabling recognition of unseen human activit…
cs.CV2026
mmSimPrior: Learning Simulation Priors for Data-Efficient and Generalizable Real-World Radar-based Human Motion Reconstruction
Cheng Guo, Qiming Cao, Shengkai Xu +4
Millimeter-wave (mmWave) radar enables privacy-preserving and illumination-robust human motion reconstruction, but training generalizable models typically requires costly paired ra…
cs.CV2026
HybridSim: A Physics-Learning Hybrid Digital Twin for mmWave Human Sensing
Weitao Xiong, Tianyu Liu, Peng Li +4
High-fidelity simulation of mmWave radar signals for dynamic human motion is valuable for developing radar-based human sensing models; yet collecting accurately labeled measurement…