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Berk Kaya
Berk Kaya
Verified email at student.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Endnet: Sparse autoencoder network for endmember extraction and hyperspectral unmixing
S Ozkan, B Kaya, GB Akar
IEEE Transactions on Geoscience and Remote Sensing 57 (1), 482-496, 2018
1162018
Towards spectral estimation from a single RGB image in the wild
B Kaya, YB Can, R Timofte
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
302019
Uncalibrated neural inverse rendering for photometric stereo of general surfaces
B Kaya, S Kumar, C Oliveira, V Ferrari, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
162021
Neural radiance fields approach to deep multi-view photometric stereo
B Kaya, S Kumar, F Sarno, V Ferrari, L Van Gool
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
42022
Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations
B Kaya, R Timofte
2020 International Conference on 3D Vision (3DV), 1039-1048, 2020
32020
Neural architecture search for efficient uncalibrated deep photometric stereo
F Sarno, S Kumar, B Kaya, Z Huang, V Ferrari, L Van Gool
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
22022
Uncertainty-Aware Deep Multi-View Photometric Stereo
B Kaya, S Kumar, C Oliveira, V Ferrari, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
12022
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
B Kaya, F Sarno, L Van Gool, S Kumar, V Ferrari
2022
Noise reduction on hyperspectral imagery using spectral unmixing and class-labels
B Kaya, S Özkan, GB Akar
2017 25th Signal Processing and Communications Applications Conference (SIU …, 2017
2017
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo [Supplementary Material]
F Sarno, S Kumar, B Kaya, Z Huang, V Ferrari, L Van Gool
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo [Supplementary Material]
B Kaya, S Kumar, F Sarno, V Ferrari, L Van Gool
Computer Vision Lab, ETH Zürich1, Google Research2, KU Leuven3
B Kaya, S Kumar, C Oliveira, V Ferrari, L Van Gool
Görüntü Tabanlı Nesne Takibi ile Diferansiyel Sürüşlü Robotlarda Yörünge Planlaması Path Planning of Differential Drive Robots with Image Based Object Tracking
B Kaya, M Öcal, CU Ertenli, K Ergün
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Articles 1–13