1 citations · 2 across the 13 of their papers we have counts for
14 papers
Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis
Xiaolong Qian, Qi Jiang, Yao Gao +5
Prevalent Computational Aberration Correction (CAC) methods are typically tailored to specific optical systems, leading to poor generalization and labor-intensive re-training for n…
OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design
Yuyu Geng, Lei Sun, Yao Gao +6
Optical design is the process of configuring optical elements to precisely manipulate light for high-fidelity imaging. It is inherently a highly non-convex optimization problem tha…
Learning Latent Transmission and Glare Maps for Lens Veiling Glare Removal
Xiaolong Qian, Qi Jiang, Lei Sun +8
Beyond the commonly recognized optical aberrations, the imaging performance of simplified optical systems--including single-lens and metalens designs--is often further degraded by…
Towards Blind Lens Aberration Correction via Large LensLib Pre-training and Discrete Degradation Priors
Xiaolong Qian, Qi Jiang, Yao Gao +8
Emerging deep-learning-based lens library pre-training (LensLib-PT) pipeline offers a new avenue for blind lens aberration correction by training a universal neural network, demons…
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…
Towards Dependable Optical Flow: Benchmarks for Real-World Spatiotemporal Corruptions
Zhonghua Yi, Hao Shi, Qi Jiang +5
Optical flow estimation is a fundamental task in dynamic scene understanding and computer vision. While recent deep models achieve impressive accuracy on clean benchmarks, their ro…
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…
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…
Mode-locking Theory for Long-Range Interaction in Artificial Neural Networks
Xiuxiu Bai, Shuaishuai Zhao, Yao Gao +1
Visual long-range interaction refers to modeling dependencies between distant feature points or blocks within an image, which can significantly enhance the model's robustness. Both…
Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks
Xiuxiu Bai, Zhe Liu, Yao Gao +2
Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery. Grid cells (…