Magnetic- Visual Sensor Fusion-based Dense 3D Reconstruction and Localization for Endoscopic Capsule Robots. - Mehmet Turan; Yasin Almalioglu; Evin Pinar Örnek; Helder Araújo; Mehmet Fatih Yanik; Metin Sitti (IROS, 2018)

Unsupervised Odometry and Depth Learning for Endoscopic Capsule Robots. - Mehmet Turan; Evin Pinar Örnek; Nail Ibrahimli; Can Giracoglu; Yasin Almalioglu; Mehmet Fatih Yanik; Metin Sitti (IROS, 2018)

ModelHub.AI: Dissemination Platform for Deep Learning Models. - Ahmed Hosny; Michael Schwier; Christoph Berger; Evin Pinar Örnek; Mehmet Turan; Phi V. Tran; Leon Weninger; Fabian Isensee; Klaus H. Maier-Hein; Richard McKinley; Michael T. Lu; Udo Hoffmann; et al. (CoRR, 2019)

Zero-Shot Activity Recognition with Videos. - Evin Pinar Örnek (CoRR, 2020)

Co-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry. - Xin Li 084; Yanyan Li 001; Evin Pinar Örnek; Jinlong Lin; Federico Tombari (IEEE Robotics Autom. Lett., 2020)

Multimodal Semantic Scene Graphs for Holistic Modeling of Surgical Procedures. - Ege Özsoy; Evin Pinar Örnek; Ulrich Eck; Federico Tombari; Nassir Navab (CoRR, 2021)

3D Compositional Zero-Shot Learning with DeCompositional Consensus. - Muhammad Ferjad Naeem; Evin Pinar Örnek; Yongqin Xian; Luc Van Gool; Federico Tombari (ECCV (28), 2022)

4D-OR: Semantic Scene Graphs for OR Domain Modeling. - Ege Özsoy; Evin Pinar Örnek; Ulrich Eck; Tobias Czempiel; Federico Tombari; Nassir Navab (MICCAI (8), 2022)

From 2D to 3D: Re-thinking Benchmarking of Monocular Depth Prediction. - Evin Pinar Örnek; Shristi Mudgal; Johanna Wald; Yida Wang 001; Nassir Navab; Federico Tombari (CoRR, 2022)

Object-Aware Monocular Depth Prediction With Instance Convolutions. - Enis Simsar; Evin Pinar Örnek; Fabian Manhardt; Helisa Dhamo; Nassir Navab; Federico Tombari (IEEE Robotics Autom. Lett., 2022)

LatentSwap3D: Semantic Edits on 3D Image GANs. - Enis Simsar; Alessio Tonioni; Evin Pinar Örnek; Federico Tombari (ICCV (Workshops), 2023)

CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graphs. - Guangyao Zhai; Evin Pinar Örnek; Shun-Cheng Wu; Yan Di; Federico Tombari; Nassir Navab; Benjamin Busam (NeurIPS, 2023)

SupeRGB-D: Zero-Shot Instance Segmentation in Cluttered Indoor Environments. - Evin Pinar Örnek; Aravindhan K. Krishnan; Shreekant Gayaka; Cheng-Hao Kuo; Arnie Sen; Nassir Navab; Federico Tombari (IEEE Robotics Autom. Lett., 2023)

FoundPose: Unseen Object Pose Estimation with Foundation Features. - Evin Pinar Örnek; Yann Labbé; Bugra Tekin; Lingni Ma; Cem Keskin; Christian Forster; Tomas Hodan (ECCV (26), 2024)

EchoScene: Indoor Scene Generation via Information Echo Over Scene Graph Diffusion. - Guangyao Zhai; Evin Pinar Örnek; Dave Zhenyu Chen; Ruotong Liao; Yan Di; Nassir Navab; Federico Tombari; Benjamin Busam (ECCV (21), 2024)

Holistic OR domain modeling: a semantic scene graph approach. - Ege Özsoy; Tobias Czempiel; Evin Pinar Örnek; Ulrich Eck; Federico Tombari; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2024)