Evin Pınar Örnek


Picture of Evin Pinar Örnek

M.Sc. Evin Pinar Örnek

Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

News

  • September 2023 - 1 paper accepted at NeurIPS
  • August 2023 - 1 paper accepted at ICCV Workshops - AI for 3D Content Creation
  • June 2023 - Internship at Meta Reality Labs - Zurich
  • April 2023 - 1 paper accepted at IEEE Robotics and Automation Letters
  • July 2022 - 1 paper accepted at ECCV
  • July 2022 - Internship at Amazon Lab126 - California 
  • June 2022 - 1 paper accepted at MICCAI - as Oral
  • February 2022 - 1 paper accepted at IEEE Robotics and Automation Letters
  • September 2021 - Received Google unrestricted research gift
  • September 2020 - 1 paper accepted at IEEE Robotics and Automation Letters
  • June 2020 - 1 paper accepted at CVPR Workshops poster - Learning with Limited Labels

Research Interests

  • 3D computer vision and deep learning
  • Indoor scene understanding and representations
  • Few-shot & zero-shot learning
  • Monocular depth prediction

Education

Student Projects

If you're interested in thesis & guided research, feel free to reach me out! 

Semester Type Status Topic by Material
2022/23 WS/SS Master's Thesis completed Zero-shot Point Cloud Classification with VLM embeddings  İdil Sülo  
2022/23 WS/SS Master's Thesis completed 3D-aware Compositional Image Generation Erkam Şeker  
2022/23 WS/SS Bachelor's Thesis completed Rethinking Parts in Point Clouds Fatma Ben Ayed  
2022 SS Guided Research completed Part Instance Segmentation in Point Clouds Marta Hasny  
2021/22 WS/SS Master's Thesis completed Dissecting 3D Capsule Networks Dilara Gökay (now Research Engineer at DeepMind)  
2021/22 WS/SS Master's Thesis completed Semantic Edits in the Latent Space of 3D GANs Enis Simsar (now Ph.D student at ETH) paper
2021/22 WS Master's Thesis completed Comparing GNNs for 3D Semantic Scene Graphs Fabiola Passini (now Computer Vision Software Engineer) github
2021/22 WS Master's Thesis completed Realizing 3D Scene Graphs for Surgical Operating Rooms Ege Özsoy (now Ph.D. student at CAMP) paper
2021 SS Guided Research completed 3D Capsule Networks for Rotation Invariancy Dilara Gökay github
2021 SS Guided Research completed Occlusion Boundary Aware Monocular Depth Prediction Enis Simsar paper
2020/21 WS Master's IDP completed 3D Object Detection and Flow Estimation in Dynamic Surgical Enviroments Dilara Gökay, Enis Simsar  
2020/21 WS Master's Thesis completed Towards Monocular Depth Prediction Benchmarking Shristi Mudgal (now ML engineer at Baufi24) paper
2020/21 WS Master's IDP completed Exploring 3D Scene Graphs for Surgical Operating Rooms Ege Özsoy paper

Professional Services

  • Reviewer at:
    • CVPR, NeurIPS, 3DV, IROS, RAL, ICRA, IEEE VR, Eurographics
  • Volunteer at:
    • SIGGRAPH 2019, EMNLP 2019, ICLR 2020, NeurIPS 2020
  • External volunteer teaching:

Publications

  • Örnek, Evin Pınar; Labbé, Yann; Tekin, Bugra; Ma, Lingni; Keskin, Cem; Forster, Christian; Hodan, Tomas: FoundPose: Unseen Object Pose Estimation with Foundation Features. arXiv preprint arXiv:2106.15309, 2024 more…
  • Özsoy, Ege; Czempiel, Tobias; Örnek, Evin Pınar; Eck, Ulrich; Tombari, Federico; Navab, Nassir: Holistic OR domain modeling: a semantic scene graph approach. International Journal of Computer Assisted Radiology and Surgery, 2023 more…
  • Örnek, Evin Pınar; Krishnan, Aravindhan K; Gayaka, Shreekant; Kuo, Cheng-Hao; Sen, Arnie; Navab, Nassir; Tombari, Federico: SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments. IEEE Robotics and Automation Letters 8 (6), 2023, 3709-3716 more…
  • Simsar, Enis; Tonioni, Alessio; Örnek, Evin Pınar; Tombari, Federico: LatentSwap3D: Semantic Edits on 3D Image GANs. Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023 more…
  • Zhai, Guangyao; Örnek, Evin Pınar; Wu, Shun-Cheng; Di, Yan; Tombari, Federico; Navab, Nassir; Busam, Benjamin: CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs. Thirty-seventh Conference on Neural Information Processing Systems, 2023 more…
  • Simsar, Enis; Örnek, Evin Pınar; Manhardt, Fabian; Dhamo, Helisa; Navab, Nassir; Tombari, Federico: Object-Aware Monocular Depth Prediction With Instance Convolutions. IEEE Robotics and Automation Letters 7 (2), 2022, 5389-5396 more…
  • Naeem, Muhammad Ferjad; Örnek, Evin Pınar; Xian, Yongqin; Van Gool, Luc; Tombari, Federico: 3D Compositional Zero-Shot Learning with DeCompositional Consensus. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2022 more…
  • Özsoy, Ege; Örnek, Evin Pınar; Eck, Ulrich; Czempiel, Tobias; Tombari, Federico; Navab, Nassir: 4D-OR: Semantic Scene Graphs for OR Domain Modeling. MICCAI (8) (Lecture Notes in Computer Science), Springer, 2022 more…
  • Örnek, Evin Pınar; Mudgal, Shristi; Wald, Johanna; Wang, Yida; Navab, Nassir; Tombari, Federico: From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction. arXiv preprint arXiv:2311.18809, 2022 more…
  • Özsoy, Ege; Örnek, Evin Pınar; Eck, Ulrich; Tombari, Federico; Navab, Nassir: Multimodal Semantic Scene Graphs for Holistic Modeling of Surgical Procedures. arXiv preprint arXiv:2106.15309, 2021 more…
  • Li, Xin; Li, Yanyan; Örnek, Evin Pınar; Lin, Jinlong; Tombari, Federico: Co-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry. IEEE Robotics and Automation Letters 5 (4), 2020, 6972-6979 more…
  • Turan, Mehmet; Örnek, Evin Pınar; Ibrahimli, Nail; Giracoglu, Can; Almalioglu, Yasin; Yanik, Mehmet Fatih; Sitti, Metin: Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 more…
  • Turan, Mehmet; Almalioglu, Yasin; Örnek, Evin Pınar; Araujo, Helder; Yanik, Mehmet Fatih; Sitti, Metin: Magnetic- Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule Robots. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 more…