Noise reduction on hyperspectral imagery using spectral unmixing and class-labels. - Berk Kaya; Savas Özkan; Gozde Bozdagi Akar (SIU, 2017)

EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing. - Savas Özkan; Berk Kaya; Ersin Esen; Gozde Bozdagi Akar (CoRR, 2017)

Towards Spectral Estimation from a Single RGB Image in the Wild. - Berk Kaya; Yigit Baran Can; Radu Timofte (ICCV Workshops, 2019)

EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing. - Savas Özkan; Berk Kaya; Gozde Bozdagi Akar (IEEE Trans. Geosci. Remote. Sens., 2019)

Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations. - Berk Kaya; Radu Timofte (3DV, 2020)

Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. - Berk Kaya; Suryansh Kumar 001; Carlos E. P. de Oliveira; Vittorio Ferrari; Luc Van Gool (CVPR, 2021)

Uncertainty-Aware Deep Multi-View Photometric Stereo. - Berk Kaya; Suryansh Kumar 001; Carlos Eduardo Porto de Oliveira; Vittorio Ferrari; Luc Van Gool (CVPR, 2022)

Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo. - Berk Kaya; Suryansh Kumar 001; Francesco Sarno; Vittorio Ferrari; Luc Van Gool (WACV, 2022)

Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo. - Francesco Sarno; Suryansh Kumar 001; Berk Kaya; Zhiwu Huang; Vittorio Ferrari; Luc Van Gool (WACV, 2022)

Multi-View Photometric Stereo Revisited. - Berk Kaya; Suryansh Kumar 001; Carlos Eduardo Porto de Oliveira; Vittorio Ferrari; Luc Van Gool (WACV, 2023)

A Modern Take on Photometric 3D-Reconstruction. - Berk Kaya (2023)