Özgün Çiçek

According to our database, Özgün Çiçek authored at least 13 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Realistic Evaluation of Deep Active Learning for Image Classification and Semantic Segmentation.

Sudhanshu Mittal, Joshua Niemeijer, Özgün Çiçek, Maxim Tatarchenko, Jan Ehrhardt, Jörg P. Schäfer, Heinz Handels, Thomas Brox

Int. J. Comput. Vis., July, 2025

Efficient Representations of the Diffusion Echo.

Daniel Gaa, Joachim Weickert, Iva Farag, Özgün Çiçek

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

2021

Uncertainty estimation and its applications in computer vision.

Özgün Çiçek

PhD thesis, 2021

Search for temporal cell segmentation robustness in phase-contrast microscopy videos.

Estibaliz Gómez-de-Mariscal, Hasini Jayatilaka, Özgün Çiçek, Thomas Brox, Denis Wirtz, Arrate Muñoz-Barrutia

CoRR, 2021

On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors.

Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins.

Özgün Çiçek, Yassine Marrakchi, Enoch Boasiako Antwi, Barbara Di Ventura, Thomas Brox

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior.

Osama Makansi, Özgün Çiçek, Kevin Buchicchio, Thomas Brox

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Parting with Illusions about Deep Active Learning.

Sudhanshu Mittal, Maxim Tatarchenko, Özgün Çiçek, Thomas Brox

CoRR, 2019

Learning Representations for Predicting Future Activities.

Mohammadreza Zolfaghari, Özgün Çiçek, Syed Mohsin Ali, Farzaneh Mahdisoltani, Can Zhang, Thomas Brox

CoRR, 2019

Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction.

Osama Makansi, Eddy Ilg, Özgün Çiçek, Thomas Brox

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Uncertainty Estimates for Optical Flow with Multi-Hypotheses Networks.

Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox

CoRR, 2018

Uncertainty Estimates and Multi-hypotheses Networks for Optical Flow.

Eddy Ilg, Özgün Çiçek, Silvio Galesso, Aaron Klein, Osama Makansi, Frank Hutter, Thomas Brox

Proceedings of the Computer Vision - ECCV 2018, 2018

2016

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation.

Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp, Thomas Brox, Olaf Ronneberger

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016