235 citations · 290 across the 9 of their papers we have counts for
9 papers
Deep Speckle Holography Redefines Label-free Nanoparticle Phenotyping
Yanmin Zhu, Yuxing Li, Jingyan Chen +9
Nanoparticle metrology has long been constrained by the assumption that, in mixed and unprocessed fluids, particle size, morphology, composition, and species-specific abundance can…
Inverse Design of Metasurface for Spectral Imaging
Rongzhou Chen, Haitao Nie, Shuo Zhu +3
Inverse design of metasurfaces for the joint optimization of optical modulation and algorithmic decoding in computational optics presents significant challenges, especially in appl…
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…
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…
On the use of deep learning for phase recovery
Kaiqiang Wang, Li Song, Chutian Wang +8
Phase recovery (PR) refers to calculating the phase of the light field from its intensity measurements. As exemplified from quantitative phase imaging and coherent diffraction imag…