172 citations · 228 across the 6 of their papers we have counts for
6 papers
Task-Driven Lens Design
Xinge Yang, Qiang Fu, Yunfeng Nie +1
Classical lens design minimizes optical aberrations to produce sharp images, but is typically decoupled from downstream computer vision tasks. Existing end-to-end optical design le…
Aberration-Aware Depth-from-Focus
Xinge Yang, Qiang Fu, Mohammed Elhoseiny +1
Computer vision methods for depth estimation usually use simple camera models with idealized optics. For modern machine learning approaches, this creates an issue when attempting t…
Snapshot HDR Video Construction Using Coded Mask
Masheal Alghamdi, Qiang Fu, Ali Thabet +1
This paper study the reconstruction of High Dynamic Range (HDR) video from snapshot-coded LDR video. Constructing an HDR video requires restoring the HDR values for each frame and…
Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
Ethan Tseng, Grace Kuo, Seung-Hwan Baek +8
Holographic displays can generate light fields by dynamically modulating the wavefront of a coherent beam of light using a spatial light modulator, promising rich virtual and augme…
A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging
Jingang Zhang, Runmu Su, Wenqi Ren +3
Hyperspectral imaging enables versatile applications due to its competence in capturing abundant spatial and spectral information, which are crucial for identifying substances. How…
Hyperspectral Light Field Stereo Matching
Kang Zhu, Yujia Xue, Qiang Fu +3
In this paper, we describe how scene depth can be extracted using a hyperspectral light field capture (H-LF) system. Our H-LF system consists of a 5 x 6 array of cameras, with each…