14 citations · 17 across the 10 of their papers we have counts for
10 papers
ObjSplat: Geometry-Aware Gaussian Surfels for Active Object Reconstruction
Yuetao Li, Zhizhou Jia, Yu Zhang +2
Autonomous high-fidelity object reconstruction is fundamental for creating digital assets and bridging the simulation-to-reality gap in robotics. We present ObjSplat, an active rec…
Differentiable Imaging Meets Adaptive Neural Dropout: An Advancing Method for Transparent Object Tomography
Delong Yang, Shaohui Zhang, Jiasong Sun +2
Label-free tomographic microscopy offers a compelling means to visualize three-dimensional (3D) refractive index (RI) distributions from two-dimensional (2D) intensity measurements…
CAR-LOAM: Color-Assisted Robust LiDAR Odometry and Mapping
Yufei Lu, Yuetao Li, Zhizhou Jia +2
In this letter, we propose a color-assisted robust framework for accurate LiDAR odometry and mapping (LOAM). Simultaneously receiving data from both the LiDAR and the camera, the f…
PB-NBV: Efficient Projection-Based Next-Best-View Planning Framework for Reconstruction of Unknown Objects
Zhizhou Jia, Yuetao Li, Qun Hao +1
Completely capturing the three-dimensional (3D) data of an object is essential in industrial and robotic applications. The task of next-best-view (NBV) planning is to calculate the…
High-space-bandwidth product characterization of metalenses with Fourier ptychographic microscopy
Chuanjian Zheng, Wenli Wang, Yanfang Ji +3
Large numerical aperture (NA) and large aperture metalenses have shown significant performance and abundant applications in biomedical and astronomical imaging fields. However, the…
ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian Splatting
Yuetao Li, Zijia Kuang, Ting Li +4
We propose ActiveSplat, an autonomous high-fidelity reconstruction system leveraging Gaussian splatting. Taking advantage of efficient and realistic rendering, the system establish…
An Efficient Projection-Based Next-best-view Planning Framework for Reconstruction of Unknown Objects
Zhizhou Jia, Shaohui Zhang, Qun Hao
Efficiently and completely capturing the three-dimensional data of an object is a fundamental problem in industrial and robotic applications. The task of next-best-view (NBV) plann…
Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network
Ruiqing Sun, Delong Yang, Yiyan Su +2
Fourier Ptychographic Microscopy (FPM) is a computational imaging technique that enables high-resolution imaging over a large field of view. However, its application in the biomedi…
Hybrid deep learning and physics-based neural network for programmable illumination computational microscopy
Ruiqing Sun, Delong Yang, Shaohui Zhang +1
Relying on either deep models or physical models are two mainstream approaches for solving inverse sample reconstruction problems in programmable illumination computational microsc…
Fourier ptychography multi-parameter neural network with composite physical priori optimization
Delong Yang, Shaohui Zhang, Chuanjian Zheng +4
Fourier ptychography microscopy(FP) is a recently developed computational imaging approach for microscopic super-resolution imaging. By turning on each light-emitting-diode (LED) l…