Can Koz

202320244 1

Kenji ShimadaCarnegie Mellon UniversityVerified email at cmu.edu
Wentai ZhangCARNEGIE MELLON UNIVERSITYVerified email at andrew.cmu.edu
Levent Burak KaraCarnegie Mellon UniversityVerified email at cmu.edu
Amit RegmiCarnegie Mellon UniversityVerified email at cmu.edu
Liuyue XiePhD Candidate - Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Tomotake FuruhataVerified email at andrew.cmu.edu
Bhavya DuvvuriNortheastern UniversityVerified email at northeastern.edu
Brandon AbranovicPh.D. Mechanical Engineering, Carnegie Mellon UniversityVerified email at alumni.cmu.edu
Joe JosephGraduate Student, Carnegie Mellon UniversityVerified email at cmu.edu
Onat DalmazPh.D. student, Stanford UniversityVerified email at stanford.edu

Can Koz

Verified email at some.ox.ac.uk - Homepage


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Flaw detection in metal additive manufacturing using deep learned acoustic features W Zhang, B Abranovic, J Hanson-Regalado, C Koz, B Duvvuri, ... Workshop of conference on neural information processing systems (NeurIPS), 2020	3	2020
Data Augmentation of Engineering Drawings For Data-Driven Component Segmentation W Zhang, Q Chen, C Koz, L Xie, A Regmi, S Yamakawa, T Furuhata, ... International Design Engineering Technical Conferences & Computers and …, 2022	2	2022
A Data Augmentation Method for Data-driven Component Segmentation of Engineering Drawings W Zhang, J Joseph, Q Chen, C Koz, L Xie, A Regmi, S Yamakawa, ... Journal of Computing and Information Science in Engineering 24 (1), 2024		2024
Multi-task Learning for Optical Coherence Tomography Angiography (OCTA) Vessel Segmentation C Koz, O Dalmaz, M Dayanc Medical Imaging meets NeurIPS, 2023		2023

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