Evin Pınar Örnek

I am a PhD student at the Technical University of Munich, Chair of Computer Aided Medical Procedures and Augmented Reality, under the supervision of Federico Tombari and Nassir Navab. Before that, I have completed my master's degree at TU Munich and bachelor's at Bogazici University. My research focuses on 3D computer vision, scene understanding, and relevant applications such as in robotics and AR/VR.

Email / CV / Google Scholar / University / Twitter / LinkedIn

Publications

	FoundPose: Unseen Object Pose Estimation with Foundation Features Evin Pınar Örnek, Yann Labbé, Bugra Tekin, Lingni Ma, Cem Keskin, Christian Forster, Tomas Hodan ECCV, 2024 arxiv / project page / code
	EchoScene: Indoor Scene Generation via Information Echo over Scene Graph Diffusion Guangyao Zhai, Evin Pınar Örnek, Dave Zhenyu Chen, Ruotong Liao, Yan Di, Nassir Navab, Federico Tombari, Benjamin Busam ECCV, 2024 arxiv / project page / code&data
	CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs Guangyao Zhai, Evin Pınar Örnek, Shun-Cheng Wu, Yan Di, Federico Tombari, Nassir Navab, Benjamin Busam Equal contribution NeurIPS*, 2023 arxiv / project page / code&data
	SupeRGB-D: Zero-shot instance segmentation in cluttered indoor environments Evin Pınar Örnek, Aravindhan K Krishnan, Shreekant Gayaka, Cheng-Hao Kuo, Arnie Sen, Nassir Navab, Federico Tombari IEEE Robotics and Automation Letters, 2023 arxiv / code&data
	3D Compositional Zero-shot Learning with DeCompositional Consensus Muhammad Ferjad Naeem, Evin Pınar Örnek, Yongqin Xian, Luc Van Gool, Federico Tombari Equal contribution ECCV*, 2022 arxiv / code&data
	4D-OR: Semantic Scene Graphs for OR Domain Modeling Ege Özsoy, Evin Pınar Örnek, Ulrich Eck, Tobias Czempiel, Federico Tombari, Nassir Navab Equal contribution Medical Image Computing and Computer Assisted Intervention*, Orals, 2022 arxiv / code&data
	From 2d to 3d: Re-thinking benchmarking of monocular depth prediction Evin Pınar Örnek, Shristi Mudgal, Johanna Wald, Yida Wang, Nassir Navab, Federico Tombari Equal contribution Arxiv*, 2022 arxiv / code
	Object-Aware Monocular Depth Prediction with Instance Convolutions Enis Simsar, Evin Pınar Örnek, Fabian Manhardt, Helisa Dhamo, Nassir Navab, Federico Tombari Equal contribution IEEE Robotics and Automation Letters*, 2022 arxiv / code
	Multimodal semantic scene graphs for holistic modeling of surgical procedures Ege Özsoy, Evin Pınar Örnek, Ulrich Eck, Federico Tombari, Nassir Navab Equal contribution Arxiv*, 2021 arxiv
	Co-planar parametrization for stereo-SLAM and visual-inertial odometry Xin Li, Yanyan Li, Evin Pınar Örnek, Jinlong Lin, Federico Tombari IEEE Robotics and Automation Letters, 2021 arxiv / code
	Rethinking Deep Learning Based Monocular Depth Prediction Evin Pınar Örnek Master's Thesis, TUM, 2020
	Verbs on Action: Zero-Shot Activity Recognition with Videos Evin Pınar Örnek, Marie-Francine Moens CVPR Workshop posters, 2020 arxiv
	Unsupervised odometry and depth learning for endoscopic capsule robots Mehmet Turan, Evin Pınar Örnek, Nail Ibrahimli, Can Giracoglu, Yasin Almalioglu, Mehmet Fatih Yanik, Metin Sitti IROS, 2018 arxiv
	Magnetic-visual sensor fusion-based dense 3d reconstruction and localization for endoscopic capsule robots Mehmet Turan, Yasin Almalioglu, Evin Pınar Örnek, Helder Araujo, Mehmet Fatih Yanik, Metin Sitti IROS, 2018 arxiv

The original template of this website's source code.