5 citations · 15 across the 13 of their papers we have counts for
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cs.RO2022★ 4 cited
Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose Estimation
Bugra C. Sefercik, Baris Akgun
Traditional approaches to extrinsic calibration use fiducial markers and learning-based approaches rely heavily on simulation data. In this work, we present a learning-based marker…
cs.LG2022★ 5 cited
FLAGS Framework for Comparative Analysis of Federated Learning Algorithms
Ahnaf Hannan Lodhi, Barış Akgün, Öznur Özkasap
Federated Learning (FL) has become a key choice for distributed machine learning. Initially focused on centralized aggregation, recent works in FL have emphasized greater decentral…