1 citations · 2 across the 7 of their papers we have counts for
7 papers
Scout: Open-World Species Recognition on the Edge
Mohammad Mehdi Rastikerdar, Hui Guan, Deepak Ganesan
Large vision-language models (VLMs) enable recognition beyond a fixed class set, but their computational demands prevent them from running on many edge devices. Cloud offload makes…
WildFit: Autonomous In-situ Model Adaptation for Resource-Constrained IoT Systems
Mohammad Mehdi Rastikerdar, Jin Huang, Hui Guan +1
Resource-constrained IoT devices increasingly rely on deep learning models, however, these models experience significant accuracy drops due to domain shifts when encountering varia…
GDTM: An Indoor Geospatial Tracking Dataset with Distributed Multimodal Sensors
Ho Lyun Jeong, Ziqi Wang, Colin Samplawski +6
Constantly locating moving objects, i.e., geospatial tracking, is essential for autonomous building infrastructure. Accurate and robust geospatial tracking often leverages multimod…
Efficient IoT Inference via Context-Awareness
Mohammad Mehdi Rastikerdar, Jin Huang, Shiwei Fang +2
While existing strategies to execute deep learning-based classification on low-power platforms assume the models are trained on all classes of interest, this paper posits that adop…
Heteroskedastic Geospatial Tracking with Distributed Camera Networks
Colin Samplawski, Shiwei Fang, Ziqi Wang +3
Visual object tracking has seen significant progress in recent years. However, the vast majority of this work focuses on tracking objects within the image plane of a single camera…
Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings
Md Farhan Tasnim Oshim, Toral Surti, Stephanie Carreiro +3
Efficient and accurate detection of subtle motion generated from small objects in noisy environments, as needed for vital sign monitoring, is challenging, but can be substantially…
PhyMask: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask
Soha Rostaminia, S. Zohreh Homayounfar, Ali Kiaghadi +2
Clinical-grade wearable sleep monitoring is a challenging problem since it requires concurrently monitoring brain activity, eye movement, muscle activity, cardio-respiratory featur…