500 citations · 537 across the 17 of their papers we have counts for
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cs.AI2024★ 3 cited
LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
Xiaomin Ouyang, Mani Srivastava
Most studies on machine learning in sensing systems focus on low-level perception tasks that process raw sensory data within a short time window. However, many practical applicatio…
cs.AI2024★ 1 cited
An Empirical Evaluation of Neural and Neuro-symbolic Approaches to Real-time Multimodal Complex Event Detection
Liying Han, Mani B. Srivastava
Robots and autonomous systems require an understanding of complex events (CEs) from sensor data to interact with their environments and humans effectively. Traditional end-to-end n…
cs.AI2023★ 8 cited
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu +5
This paper proposes a novel contrastive learning framework, called FOCAL, for extracting comprehensive features from multimodal time-series sensing signals through self-supervised…