Emre Akbas
Scholar

Emre Akbas

Google Scholar ID: HeXAdnEAAAAJ
Helmholtz Munich | Middle East Technical University (METU)
computer visiondeep learningmachine learningobject detectionhuman pose estimation
Citations & Impact
All-time
Citations
2,723
 
H-index
23
 
i10-index
31
 
Publications
20
 
Co-authors
76
list available
Resume (English only)
Academic Achievements
  • 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