Actual Students at the CAMP Chair

• Gerrit Hillebrand (Inverse Kinematic Infrared Hand and Finger Tracking)
• Alexander Hartl (Robust inference and confidence visualization for navigated beta-probe imaging)
• Dilara Gokay, Enis Simsar (3D Object Detection and Flow Estimation in Dynamic Surgical Enviroments)
• Enis Simsar (Fourier Neural Networks for 3D Scene Understanding)
• Ege Ozsoy (Exploring 3D Scene Graphs for Surgical Operating Rooms)
• Shristi Mudgal (Towards Monocular Depth Benchmarking)
• Dilara Gökay (Investigating 3D Capsule Networks)
• Shanmugapriya Survarachakan (Colored X-rays)
• Prof. Nassir Navab (Hiwi Job: Augmented Reality Magic Mirror)
• Oleg Simin (Visual Marker Based User Interface for the Operating Room)
• Asli Okur (Robust Surface Reconstruction using IR-Laser-Pointer)
• Felix Wimmer (Hotspot Visualization for Intra Operative Augmented Reality)
• Sai Gokul Hariharan (Coronary Arteries)
• Maxime Kayser (Addressing Artefact-Related Image Challenges In Automated Polyp Detection)
• Joe Bedard (Distributed SLAM - Jointly mapping 3D Geometry)
• Tom Nuno Wolf (Computer-aided survival, grading prediction and segmentation of soft tissue sarcomas in MRI.)
• Luca Alessandro Dombetzki (Deep Learning for Tool Detection and Tracking in Microsurgery)
• Felix Buchert (Semi-supervised Active Learning )
• Miraç Sanisoğlu (Localization of disease with limited supervision in chest radiographs)
• Mai Bui, Haowen Deng (Uncertainty Aware Methods for Camera Pose Estimation in Images and 3-Dimensional Data)
• Aadhithya Sankar (Exploring interpretability of deep capsule networks for medical applications )
• Borja Sánchez Clemente (Spatio-temporal deep network for early disease detection )
• Theo Beffart (Temporal 3D Object Detection in Lidar Point Clouds for Autonomous Driving)
• Anatasia Makarevich (Self-Supervised Generative Modelling for Contrastive Learning)