Research
Projects
Courses
Home
Links
> METU Computer Eng.
> ROMER Center




Sinan KALKAN's Webpage




Prof. Dr. Sinan Kalkan

Dept. of Computer Engineering
Middle East Technical University
Inonu Bulvari, 06531 Ankara (Turkey)

E-mail: skalkan [at] metu [dot] edu [dot] tr
Office: A-209


Research Groups

Proud member of the following research centers, labs and groups:
  • METU Robotics and Artificial Intelligence Center [Webpage].
  • METU Image Analysis Center [Webpage].
  • METU Image Processing Laboratory [Webpage].
  • METU Balance [Webpage].
  • METU Energy [Webpage].
  • Cambridge University AFAR [Webpage].

Research Interests
  • Computer Vision: Object Detection, Segmentation, Recognition.

  • Machine/Deep Learning: Imbalance Problems, Bias and Fairness.

  • Robotics.


Selected Publications
  • J. Cheong, A. Mogharabin, P. P. Liang, H. Gunes, S. Kalkan, "FairSSL: Fair Multimodal Self-Supervised Learning", 43rd Int. Conference on Machine Learning (ICML), 2026.

  • B. Cetinkaya, S. Kalkan*, E. Akbas*, "MatchED: Crisp Edge Detection Using End-to-End, Matching-based Supervision", The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (Preprint | Code | Project page)

  • F. Yavuz, B. C. Cam, A. H. Dogan, K. Oksuz, E. Akbas*, S. Kalkan*, "Bucketed Ranking-based Losses for Efficient Training of Object Detectors", 18th European Conference on Computer Vision (ECCV), 2024. *Equal senior contribution. (Preprint | Code)

  • B. Cetinkaya, S. Kalkan*, E. Akbas*, "RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (Preprint | Publisher's webpage | Code)

  • J. Cheong, S. Kalkan, H. Gunes, "FairReFuse: Referee-Guided Fusion for Multi-Modal Causal Fairness in Depression Detection", 32nd Int. Joint Conf. on Artificial Intelligence (IJCAI), 2024.

  • Z. S. Baltaci, K. Oksuz, S. Kuzucu, K. Tezoren, B. K. Konar, A. Ozkan, E. Akbas*, S. Kalkan*, "Class Uncertainty: A Measure to Mitigate Class Imbalance", under review, 2023. (Arxiv). *Equal senior contribution.

  • K. Oksuz, B. C. Cam, S. Kalkan*, E. Akbas*, "One Metric to Measure them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 44(12):9446-9463, 2022. (Arxiv | >Publisher's webpage | Code). *Equal senior contribution.

  • K. Oksuz, B. C. Cam, S. Kalkan*, E. Akbas*, "Imbalance Problems in Object Detection: A Review", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 43(10):3388-3415, 2021. (Arxiv | Publisher's webpage/a> | Repository). *Equal senior contribution.

  • K. Oksuz, B. C. Cam, E. Akbas*, S. Kalkan*, "A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection", Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), spotlight paper, 2020. (Arxiv | Conference page | Code). * Equal senior contribution.

  • N. Krueger, P. Janssen, S. Kalkan, M. Lappe, A. Leonardis, J. Piater, A. J. Rodriguez-Sanchez, L. Wiskott, "Deep Hierarchies in the Primate Visual Cortex: What Can We Learn For Computer Vision?", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 35(8):1847-1871, August 2013. (Preprint | Publisher's Website)

  • S. Kalkan, F. Woergoetter, N. Krueger, "Statistical Analysis of Local 3D Structure in 2D Images", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2006. (PDF)