Ombretta Strafforello, Vanathi Rajasekart, Osman S. Kayhan, Oana Inel, Jan van Gemert (2022), Humans Disagree With the IoU for Measuring Object Detector Localization Error, In Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP) p.1261-1265, IEEE.

O.S. Kayhan (2022), Locality in space and time for data-efficient visual recognition, PhD Thesis Delft University of Technology.

Osman Semih Kayhan, Bart Vredebregt, Jan C. van Gemert (2021), Hallucination In Object Detection: A Study In Visual Part VERIFICATION, In 2021 IEEE International Conference on Image Processing (ICIP) p.2234-2238, IEEE.

Noor ul Sehr Zia, Osman Semih Kayhan, Jan van Gemert (2021), PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations, In 2021 IEEE International Conference on Image Processing (ICIP) p.2598-2602, IEEE.

Soroosh Poorgholi, Osman Semih Kayhan, Jan C. van Gemert (2021), t-EVA: Time-Efficient t-SNE Video Annotation, Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani (Eds.), In Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings p.153-169, Springer.

Osman Semih Kayhan, Jan C. van Gemert (2020), On translation invariance in CNNs: Convolutional layers can exploit absolute spatial location, L. O'Conner (Eds.), In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) p.14262-14273, IEEE.