Следене
Evin Pınar Örnek
Evin Pınar Örnek
Потвърден имейл адрес: tum.de - Начална страница
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Позовавания
Година
Unsupervised odometry and depth learning for endoscopic capsule robots
M Turan, EP Örnek, N Ibrahimli, C Giracoglu, Y Almalioglu, MF Yanik, ...
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
392018
Magnetic-visual sensor fusion-based dense 3d reconstruction and localization for endoscopic capsule robots
M Turan, Y Almalioglu, EP Örnek, H Araujo, MF Yanik, M Sitti
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
232018
Co-planar parametrization for stereo-slam and visual-inertial odometry
X Li, Y Li, EP Örnek, J Lin, F Tombari
IEEE Robotics and Automation Letters 5 (4), 6972-6979, 2020
172020
Modelhub. ai: Dissemination platform for deep learning models
A Hosny, M Schwier, C Berger, EP Örnek, M Turan, PV Tran, L Weninger, ...
arXiv preprint arXiv:1911.13218, 2019
142019
3D Compositional Zero-Shot Learning with DeCompositional Consensus
MF Naeem, EP Örnek, Y Xian, L Van Gool, F Tombari
European Conference on Computer Vision, 713-730, 2022
32022
Multimodal Semantic Scene Graphs for Holistic Modeling of Surgical Procedures
E Özsoy, EP Örnek, U Eck, F Tombari, N Navab
arXiv preprint arXiv:2106.15309, 2021
22021
4D-OR: Semantic Scene Graphs for OR Domain Modeling
E Özsoy, EP Örnek, U Eck, T Czempiel, F Tombari, N Navab
arXiv preprint arXiv:2203.11937, 2022
12022
Zero-Shot Activity Recognition with Videos
EP Örnek, MF Moens
CVPR Workshop Learning with Limited Labels, 2020
12020
From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction
EP Örnek, S Mudgal, J Wald, Y Wang, N Navab, F Tombari
arXiv preprint arXiv:2203.08122, 2022
2022
Object-Aware Monocular Depth Prediction with Instance Convolutions
E Simsar, EP Örnek, F Manhardt, H Dhamo, N Navab, F Tombari
IEEE Robotics and Automation Letters 7 (2), 5389 - 5396, 2021
2021
Rethinking Deep Learning Based Monocular Depth Prediction
EP Örnek
Technische Universität München, 2020
2020
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