Oct. 2024: Paper “A comparison of deep learning models for proton background rejection with the AMS electromagnetic calorimeter” published in Machine Learning: Science and Technology
Jul. 2024: Paper “Bucketed Ranking-based Losses for Efficient Training of Object Detectors” accepted to ECCV 2024
Jul. 2024: Paper “A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts” accepted to ACL Findings 2024
Apr. 2024: Paper “MoCap-to-Visual Domain Adaptation for Efficient Human Mesh Estimation from 2D Keypoints” accepted to CVPR 2024 Workshop
Feb. 2024: Paper “RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses” accepted to CVPR 2024
Nov. 2022: Paper “Correlation Loss: Enforcing Correlation between Classification and Localization” accepted to AAAI 2023
Aug. 2022: Paper “HoughNet: Integrating near and long-range evidence for visual detection” accepted to IEEE TPAMI
Jul. 2022: Paper “Streaming Multiscale Deep Equilibrium Models” accepted to ECCV 2022
Jun. 2022: Student Kemal Oksuz received METU “Thesis of the Year Award” (co-advised with Sinan Kalkan)
Oct. 2023: Student Nermin Samet received METU “Thesis Award”
Co-authored textbook “Signals and Systems: Theory and Practical Explorations with Python” published by Wiley