activity
20192025
most citedHeteroskedastic Geospatial Tracking with Distributed Camera Networks

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SP2025

MobiVital: Self-supervised Time-series Quality Estimation for Contactless Respiration Monitoring Using UWB Radar

Ziqi Wang, Derek Hua, Wenjun Jiang +3

Respiration waveforms are increasingly recognized as important biomarkers, offering insights beyond simple respiration rates, such as detecting breathing irregularities for disease…

cs.AI2024

SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing

Pengrui Quan, Xiaomin Ouyang, Jeya Vikranth Jeyakumar +3

Effective processing, interpretation, and management of sensor data have emerged as a critical component of cyber-physical systems. Traditionally, processing sensor data requires p…

cs.CV2024

FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors

Jason Wu, Ziqi Wang, Xiaomin Ouyang +5

Localization is a critical technology for various applications ranging from navigation and surveillance to assisted living. Localization systems typically fuse information from sen…

cs.RO2024

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…

cs.CV2023★ 1 cited

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…

cs.LG2019

Deep Residual Neural Networks for Audio Spoofing Detection

Moustafa Alzantot, Ziqi Wang, Mani B. Srivastava

The state-of-art models for speech synthesis and voice conversion are capable of generating synthetic speech that is perceptually indistinguishable from bonafide human speech. Thes…