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1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)., , and . CoRR, (2019)NTIRE 2023 Challenge on Night Photography Rendering., , , , , , , , , and 38 other author(s). CVPR Workshops, page 1982-1993. IEEE, (2023)Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report., , , , , , , , , and 28 other author(s). ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 44-70. Springer, (2022)Learning End-to-End Deep Learning Based Image Signal Processing Pipeline Using a Few-Shot Domain Adaptation., and . VISIGRAPP (3): VISAPP, page 255-263. SCITEPRESS, (2024)Problems of dataset creation for light source estimation., , and . CoRR, (2020)On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle., , , , , and . CoRR, (2021)Exact Fast Algorithm For Optimal Linear Separation Of 2D Distribution., , , and . ECMS, page 469-474. European Council for Modeling and Simulation, (2015)1-point RANSAC for circular motion estimation in computed tomography (CT)., , , and . ICMV, volume 11433 of SPIE Proceedings, page 1143332. SPIE, (2019)Analysis of Properties of Dyadic Patterns for the Fast Hough Transform., and . Probl. Inf. Transm., 57 (3): 292-300 (2021)Physically-plausible illumination distribution estimation., , , and . ICCV, page 12882-12890. IEEE, (2023)