3 papers
cs.CV2026
RISE: Single Static Radar-based Indoor Scene Understanding
Kaichen Zhou, Laura Dodds, Sayed Saad Afzal +1
Robust and privacy-preserving indoor scene understanding remains a fundamental open problem. While optical sensors such as RGB and LiDAR offer high spatial fidelity, they suffer fr…
cs.CV2025
Wave-Former: Through-Occlusion 3D Reconstruction via Wireless Shape Completion
Laura Dodds, Maisy Lam, Waleed Akbar +2
We present Wave-Former, a novel method capable of high-accuracy 3D shape reconstruction for completely occluded, diverse, everyday objects. This capability can open new application…
cs.CV2025
MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception
Laura Dodds, Tara Boroushaki, Cusuh Ham +1
The ability to observe the world is fundamental to reasoning and making informed decisions on how to interact with the environment. However, optical perception can often be disrupt…