| Unsupervised odometry and depth learning for endoscopic capsule robots M Turan, EP Örnek, N Ibrahimli, C Giracoglu, Y Almalioglu, MF Yanik, ... International Conference on Intelligent Robots and Systems (IROS) 2018, 2018 | 51 | 2018 |
| 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 (RA-L) 2020, 2020 | 28 | 2020 |
| 4D-OR: Semantic Scene Graphs for OR Domain Modeling E Özsoy*, EP Örnek*, U Eck, T Czempiel, F Tombari, N Navab Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022 - Orals, 2022 | 26 | 2022 |
| 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 International Conference on Intelligent Robots and Systems (IROS) 2018, 2018 | 22 | 2018 |
| 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 | 21 | 2019 |
| CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion G Zhai*, EP Örnek*, SC Wu, Y Di, F Tombari, N Navab, B Busam Advances in Neural Information Processing Systems (NeurIPS) 2023, 2023 | 11* | 2023 |
| 3D Compositional Zero-shot Learning with DeCompositional Consensus MF Naeem*, EP Örnek*, Y Xian, L Van Gool, F Tombari European Conference of Computer Vision (ECCV) 2022, 2022 | 11 | 2022 |
| 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 | 8 | 2021 |
| 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 | 7 | 2022 |
| Holistic OR domain modeling: a semantic scene graph approach E Özsoy, T Czempiel, EP Örnek, U Eck, F Tombari, N Navab International Journal of Computer Assisted Radiology and Surgery, 1-9, 2023 | 5 | 2023 |
| SupeRGB-D: Zero-shot instance segmentation in cluttered indoor environments EP Örnek, AK Krishnan, S Gayaka, CH Kuo, A Sen, N Navab, F Tombari IEEE Robotics and Automation Letters (RA-L) 2023, 2023 | 5 | 2023 |
| FoundPose: Unseen Object Pose Estimation with Foundation Features EP Örnek, Y Labbé, B Tekin, L Ma, C Keskin, C Forster, T Hodan arXiv preprint arXiv:2311.18809, 2023 | 2 | 2023 |
| 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 (RA-L) 2022, 2021 | 2 | 2021 |
| Latentswap3d: Semantic edits on 3d image gans E Simsar, A Tonioni, EP Örnek, F Tombari International Conference on Computer Vision (ICCV) 2023 - AI for 3D Content …, 2023 | 1 | 2023 |
| Zero-Shot Activity Recognition with Videos EP Örnek, MF Moens Computer Vision and Pattern Recognition (CVPR) 2020 - Learning with Limited …, 2020 | 1 | 2020 |
| Rethinking Deep Learning Based Monocular Depth Prediction EP Örnek Master's thesis, Technische Universität München, 2020 | | 2020 |
| Supplementary Material CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion G Zhai, EP Örnek, SC Wu, Y Di, F Tombari, N Navab, B Busam | | |
| Supplementary Material: 3D Compositional Zero-shot Learning with DeCompositional Consensus MF Naeem, EP Ornek, Y Xian, L Van | | |
Federico TombariGoogle, TU MunichVerified email at in.tum.de
