6 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.…
mmCounter: Static People Counting in Dense Indoor Scenarios Using mmWave Radar
Tarik Reza Toha, Shao-Jung, Lu +1
mmWave radars struggle to detect or count individuals in dense, static (non-moving) groups due to limitations in spatial resolution and reliance on movement for detection. We prese…
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…
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches
Rana Muhammad Shahroz Khan, Pingzhi Li, Sukwon Yun +4
As large language models (LLMs) increasingly shape the AI landscape, fine-tuning pretrained models has become more popular than in the pre-LLM era for achieving optimal performance…