10 papers
Seeing through boxes: Non-Line-of-Sight 3D Reconstruction from Radar Signals
Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh
Reconstructing object geometry from radio frequency (RF) signals is fundamentally challenging due to the lensless imaging nature of RF sensing, which leads to low spatial resolutio…
GeRaF: Neural Geometry Reconstruction from Radio Frequency Signals
Jiachen Lu, Hailan Shanbhag, Haitham Al Hassanieh
GeRaF is the first method to use neural implicit learning for near-range 3D geometry reconstruction from radio frequency (RF) signals. Unlike RGB or LiDAR-based methods, RF sensing…
Enhancing 3D Semantic Scene Completion with a Refinement Module
Dunxing Zhang, Jiachen Lu, Han Yang +2
We propose ESSC-RM, a plug-and-play Enhancing framework for Semantic Scene Completion with a Refinement Module, which can be seamlessly integrated into existing SSC models. ESSC-RM…
ArchSIBench: Benchmarking the Architectural Spatial Intelligence of Vision-Language Models
Qirui Shen, Wenda Wang, Jiachen Lu +5
Architectural spatial intelligence, the ability to recognize and infer architectural space, is fundamental to tasks such as robot navigation, embodied interaction, and 3D scene und…
Sketch2MinSurf: Vision-Language Guided Generation of Editable Minimal Surfaces from Hand-Drawn Sketches
Wenda Wang, Anqi Liu, Junqi Yang +4
Converting hand-drawn sketches into structured 3D geometries remains challenging due to the difficulty of representing non-Euclidean surfaces and maintaining topological consistenc…
PGR-Net: Prior-Guided ROI Reasoning Network for Brain Tumor MRI Segmentation
Jiacheng Lu, Hui Ding, Shiyu Zhang +1
Brain tumor MRI segmentation is essential for clinical diagnosis and treatment planning, enabling accurate lesion detection and radiotherapy target delineation. However, tumor lesi…