6 papers
GRADE: Single-Frame Generative Radar Depth Estimation Under Visual Degradation
Bin Zhao, Patrick Chiou, Nakul Garg
Dense 3D depth perception fails under smoke, fog, and darkness because optical sensors cannot penetrate airborne particulates. mmWave radar remains usable and measures range accura…
RadarSFD: Single-Frame Diffusion with Pretrained Priors for Radar Point Clouds
Bin Zhao, Nakul Garg
Millimeter-wave radar provides robust perception in fog, smoke, dust, and low light, making it attractive for size-, weight-, and power-constrained robotic platforms. Existing rada…
DeepSync: A Learning Framework for Pervasive Localization using Code Synchronization on Compressed Cellular Spectrum
Aritrik Ghosh, Nakul Garg, Nirupam Roy
Pervasive localization is essential for continuous tracking applications, yet existing solutions face challenges in balancing power consumption and accuracy. GPS, while precise, is…
Spatial Audio Processing with Large Language Model on Wearable Devices
Ayushi Mishra, Yang Bai, Priyadarshan Narayanasamy +2
Integrating spatial context into large language models (LLMs) has the potential to revolutionize human-computer interaction, particularly in wearable devices. In this work, we pres…
IMUOptimize: A Data-Driven Approach to Optimal IMU Placement for Human Pose Estimation with Transformer Architecture
Varun Ramani, Hossein Khayami, Yang Bai +2
This paper presents a novel approach for predicting human poses using IMU data, diverging from previous studies such as DIP-IMU, IMUPoser, and TransPose, which use up to 6 IMUs in…
Fast Localization and Tracking in City-Scale UWB Networks
Nakul Garg, Irtaza Shahid, Ramanujan K Sheshadri +2
Localization of networked nodes is an essential problem in emerging applications, including first-responder navigation, automated manufacturing lines, vehicular and drone navigatio…