most citedMetaISP -- Exploiting Global Scene Structure for Accurate Multi-Device Color Rendition

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CV2026

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…

eess.IV2024

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…

cs.GR2024

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…

cs.CV20241 cited

MetaISP -- Exploiting Global Scene Structure for Accurate Multi-Device Color Rendition

Matheus Souza, Wolfgang Heidrich

Image signal processors (ISPs) are historically grown legacy software systems for reconstructing color images from noisy raw sensor measurements. Each smartphone manufacturer has d…

cs.CV2024

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…