9 citations · 11 across the 12 of their papers we have counts for
12 papers
Large-FOV RGBD Imaging via Structured PSF Coding in a Bio-inspired Monocentric System
Zongxi Yu, Xiaolong Qian, Shaohua Gao +4
High-fidelity large-field-of-view (LFOV) 3D sensing, essential for autonomous platforms, is hindered by the coupling of anisotropic off-axis aberrations and the ill-posed nature of…
Neuro-inspired automated lens design
Yao Gao, Lei Sun, Shaohua Gao +7
The highly non-convex optimization landscape of modern lens design necessitates extensive human expertise, resulting in inefficiency and constrained design diversity. While automat…
One-Step Event-Driven High-Speed Autofocus
Yuhan Bao, Shaohua Gao, Wenyong Li +1
High-speed autofocus in extreme scenes remains a significant challenge. Traditional methods rely on repeated sampling around the focus position, resulting in ``focus hunting''. Eve…
Towards Single-Lens Controllable Depth-of-Field Imaging via Depth-Aware Point Spread Functions
Xiaolong Qian, Qi Jiang, Yao Gao +8
Controllable Depth-of-Field (DoF) imaging commonly produces amazing visual effects based on heavy and expensive high-end lenses. However, confronted with the increasing demand for…
OmniLens: Towards Universal Lens Aberration Correction via LensLib-to-Specific Domain Adaptation
Qi Jiang, Yao Gao, Shaohua Gao +7
Emerging universal Computational Aberration Correction (CAC) paradigms provide an inspiring solution to light-weight and high-quality imaging with a universal model trained on a le…
Design, analysis, and manufacturing of a glass-plastic hybrid minimalist aspheric panoramic annular lens
Shaohua Gao, Qi Jiang, Yiqi Liao +6
We propose a high-performance glass-plastic hybrid minimalist aspheric panoramic annular lens (ASPAL) to solve several major limitations of the traditional panoramic annular lens (…
Exploring Quasi-Global Solutions to Compound Lens Based Computational Imaging Systems
Yao Gao, Qi Jiang, Shaohua Gao +3
Recently, joint design approaches that simultaneously optimize optical systems and downstream algorithms through data-driven learning have demonstrated superior performance over tr…
Representing Domain-Mixing Optical Degradation for Real-World Computational Aberration Correction via Vector Quantization
Qi Jiang, Zhonghua Yi, Shaohua Gao +8
Relying on paired synthetic data, existing learning-based Computational Aberration Correction (CAC) methods are confronted with the intricate and multifaceted synthetic-to-real dom…
Minimalist and High-Quality Panoramic Imaging with PSF-aware Transformers
Qi Jiang, Shaohua Gao, Yao Gao +5
High-quality panoramic images with a Field of View (FoV) of 360° are essential for contemporary panoramic computer vision tasks. However, conventional imaging systems come with sop…
Computational Imaging for Machine Perception: Transferring Semantic Segmentation beyond Aberrations
Qi Jiang, Hao Shi, Shaohua Gao +5
Semantic scene understanding with Minimalist Optical Systems (MOS) in mobile and wearable applications remains a challenge due to the corrupted imaging quality induced by optical a…
Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens
Qi Jiang, Hao Shi, Lei Sun +3
Panoramic Annular Lens (PAL) composed of few lenses has great potential in panoramic surrounding sensing tasks for mobile and wearable devices because of its tiny size and large Fi…
Review on Panoramic Imaging and Its Applications in Scene Understanding
Shaohua Gao, Kailun Yang, Hao Shi +2
With the rapid development of high-speed communication and artificial intelligence technologies, human perception of real-world scenes is no longer limited to the use of small Fiel…