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Özgün Çiçek

University of Freiburg

22

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

2021 arXiv: Computer Vision and Pattern Recognition
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Deep learning is widely applicable to phenotyping embryonic development and disease

2021 Development
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On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors

2021 ICCV | International Conference on Computer Vision
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Recovering the Imperfect: Cell Segmentation in the Presence of Dynamically Localized Proteins

2020 arXiv: Computer Vision and Pattern Recognition
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Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction. (arXiv:1906.03631v1 [cs.CV])

2019
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Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction.

2019 arXiv: Computer Vision and Pattern Recognition
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Parting with Illusions about Deep Active Learning

2019 arXiv: Computer Vision and Pattern Recognition
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Author Correction: U-Net: deep learning for cell counting, detection, and morphometry

2019 Nature Methods
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Learning Representations for Predicting Future Activities.

2019 arXiv: Computer Vision and Pattern Recognition
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Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction

2019 CVPR | Computer Vision and Pattern Recognition
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