33 citations · 88 across the 8 of their papers we have counts for
8 papers
Near-infrared Image Deblurring and Event Denoising with Synergistic Neuromorphic Imaging
Chao Qu, Shuo Zhu, Yuhang Wang +4
The fields of imaging in the nighttime dynamic and other extremely dark conditions have seen impressive and transformative advancements in recent years, partly driven by the rise o…
SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep
Jingqian Wu, Shuo Zhu, Chutian Wang +2
Recent advancements in 3D Gaussian Splatting (3D-GS) have demonstrated the potential of using 3D Gaussian primitives for high-speed, high-fidelity, and cost-efficient novel view sy…
Ev-GS: Event-based Gaussian splatting for Efficient and Accurate Radiance Field Rendering
Jingqian Wu, Shuo Zhu, Chutian Wang +1
Computational neuromorphic imaging (CNI) with event cameras offers advantages such as minimal motion blur and enhanced dynamic range, compared to conventional frame-based methods.…
Neuromorphic Imaging with Super-Resolution
Pei Zhang, Shuo Zhu, Chutian Wang +2
Neuromorphic imaging is an emerging technique that imitates the human retina to sense variations in dynamic scenes. It responds to pixel-level brightness changes by asynchronous st…
Neuromorphic Shack-Hartmann wave normal sensing
Chutian Wang, Shuo Zhu, Pei Zhang +3
The Shack-Hartmann wavefront sensor is widely employed in adaptive optics systems to measure optical aberrations. However, simultaneously achieving high sensitivity and large dynam…
Deep learning phase recovery: data-driven, physics-driven, or combining both?
Kaiqiang Wang, Edmund Y. Lam
Phase recovery, calculating the phase of a light wave from its intensity measurements, is essential for various applications, such as coherent diffraction imaging, adaptive optics,…
Neuromorphic Imaging with Joint Image Deblurring and Event Denoising
Pei Zhang, Haosen Liu, Zhou Ge +2
Neuromorphic imaging reacts to per-pixel brightness changes of a dynamic scene with high temporal precision and responds with asynchronous streaming events as a result. It also oft…
Neuromorphic Imaging and Classification with Graph Learning
Pei Zhang, Chutian Wang, Edmund Y. Lam
Bio-inspired neuromorphic cameras asynchronously record pixel brightness changes and generate sparse event streams. They can capture dynamic scenes with little motion blur and more…