M. Kerem Aydin — accepted AI-conference papers

2026

Spectrum from Defocus: Fast Spectral Imaging with Chromatic Focal Stack

M. Kerem Aydin, Yi-Chun Hung, Jaclyn Pytlarz, Qi Guo, Emma Alexander

CVPR 2026

Hyperspectral cameras rely on spectral filters, dispersive optics, or coded apertures, which reduce light throughput and increase hardware complexity. These systems face harsh trade-offs between spatial, spectral, and temporal resolution in inherently low-photon conditions. Computational imaging sys

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2026

Thermal is Always Wild: Characterizing and Addressing Challenges in Thermal-Only Novel View Synthesis

M. Kerem Aydin, Vishwanath Saragadam, Emma Alexander

CVPR 2026

Thermal cameras provide reliable visibility in darkness and adverse conditions, but thermal imagery remains significantly harder to use for novel view synthesis (NVS) than visible-light images. This difficulty stems primarily from two characteristics of affordable thermal sensors. First, thermal ima

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