Adnan Harun Dogan — accepted AI-conference papers

2026

FW-NKF: Frequency-Weighted Neural Kalman Filters

Adnan Harun Dogan, Berken Utku Demirel, Christian Holz

ICRA 2026poster

Robust state estimation is central to robotic autonomy, yet classical Kalman filters struggle with frequency-dependent disturbances and model mismatch such as sensor vibrations, electromagnetic interference, and periodic noise. Although Deep Kalman Filter (DKF) variants extend the Extended Kalman Fi…

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2024

Bucketed Ranking-based Losses for Efficient Training of Object Detectors

Feyza Yavuz*, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan

ECCV 2024poster

"Ranking-based loss functions, such as Average Precision Loss and Rank&Sort Loss, outperform widely used score-based losses in object detection. These loss functions better align with the evaluation criteria, have fewer hyperparameters, and offer robustness against the imbalance between positive and…

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