2 citations · 2 across the 6 of their papers we have counts for
7 papers
mmAnomaly: Leveraging Visual Context for Robust Anomaly Detection in the Non-Visual World with mmWave Radar
Tarik Reza Toha, Shao-Jung, Lu +2
mmWave radar enables human sensing in non-visual scenarios-e.g., through clothing or certain types of walls-where traditional cameras fail due to occlusion or privacy limitations.…
mmWEAVER: Environment-Specific mmWave Signal Synthesis from a Photo and Activity Description
Mahathir Monjur, Shahriar Nirjon
Realistic signal generation and dataset augmentation are essential for advancing mmWave radar applications such as activity recognition and pose estimation, which rely heavily on d…
SpeechQualityLLM: LLM-Based Multimodal Assessment of Speech Quality
Mahathir Monjur, Shahriar Nirjon
Objective speech quality assessment is central to telephony, VoIP, and streaming systems, where large volumes of degraded audio must be monitored and optimized at scale. Classical…
mmJoints: Expanding Joint Representations Beyond (x,y,z) in mmWave-Based 3D Pose Estimation
Zhenyu Wang, Mahathir Monjur, Shahriar Nirjon
In mmWave-based pose estimation, sparse signals and weak reflections often cause models to infer body joints from statistical priors rather than sensor data. While prior knowledge…
Data Distribution Dynamics in Real-World WiFi-Based Patient Activity Monitoring for Home Healthcare
Mahathir Monjur, Jia Liu, Jingye Xu +10
This paper examines the application of WiFi signals for real-world monitoring of daily activities in home healthcare scenarios. While the state-of-the-art of WiFi-based activity re…
SoundSieve: Seconds-Long Audio Event Recognition on Intermittently-Powered Systems
Mahathir Monjur, Yubo Luo, Zhenyu Wang +1
A fundamental problem of every intermittently-powered sensing system is that signals acquired by these systems over a longer period in time are also intermittent. As a consequence,…
CarFi: Rider Localization Using Wi-Fi CSI
Sirajum Munir, Hongkai Chen, Shiwei Fang +3
With the rise of hailing services, people are increasingly relying on shared mobility (e.g., Uber, Lyft) drivers to pick up for transportation. However, such drivers and riders hav…