17 citations · 28 across the 7 of their papers we have counts for
7 papers
Low Latency Gaze Tracking via Latent Optical Sensing
Yidan Zheng, Matheus Souza, Kaizhang Kang +3
We present a real-time gaze tracking system that directly acquires task-relevant latent features using a fully passive optical encoder. Instead of forming and processing full-resol…
Uncertainty Quantification in HSI Reconstruction using Physics-Aware Diffusion Priors and Optics-Encoded Measurements
Juan Romero, Qiang Fu, Matteo Ravasi +1
Hyperspectral image reconstruction from a compressed measurement is a highly ill-posed inverse problem. Current data-driven methods suffer from hallucination due to the lack of spe…
Learned Off-aperture Encoding for Wide Field-of-view RGBD Imaging
Haoyu Wei, Xin Liu, Yuhui Liu +4
End-to-end (E2E) designed imaging systems integrate coded optical designs with decoding algorithms to enhance imaging fidelity for diverse visual tasks. However, existing E2E desig…
Large-Area Fabrication-Aware Computational Diffractive Optics
Kaixuan Wei, Hector A. Jimenez-Romero, Hadi Amata +4
Differentiable optics, as an emerging paradigm that jointly optimizes optics and (optional) image processing algorithms, has made innovative optical designs possible across a broad…
Latent Space Imaging
Matheus Souza, Yidan Zheng, Kaizhang Kang +3
Digital imaging systems have traditionally relied on brute-force measurement and processing of pixels arranged on regular grids. In contrast, the human visual system performs signi…
End-to-End Hybrid Refractive-Diffractive Lens Design with Differentiable Ray-Wave Model
Xinge Yang, Matheus Souza, Kunyi Wang +3
Hybrid refractive-diffractive lenses combine the light efficiency of refractive lenses with the information encoding power of diffractive optical elements (DOE), showing great pote…
Limitations of Data-Driven Spectral Reconstruction -- An Optics-Aware Analysis
Qiang Fu, Matheus Souza, Eunsue Choi +3
Hyperspectral imaging empowers machine vision systems with the distinct capability of identifying materials through recording their spectral signatures. Recent efforts in data-driv…