Bio


Tolga Birdal is a Postdoctoral Research Fellow at the Geometric Computing group of Prof. Leonidas Guibas. He has recently defended his PhD thesis at the Computer Vision Group, Chair for Computer Aided Medical Procedures, Technical University of Munich and was a Doktorand at Siemens AG. He completed his Bachelors as an Electronics Engineer at the Sabanci University in 2008. In his subsequent postgraduate programme, he studied Computational Science and Engineering at Technical University of Munich. In continuation to his Master's thesis on “3D Deformable Surface Recovery Using RGBD Cameras”, he focused his research and development on large object detection, pose estimation and reconstruction using point clouds. Tolga is awarded both Ernst von Siemens Scholarship and EMVA Young Professional Award 2016 for his PhD work. He has several publications at the well respected venues such as NeurIPS, CVPR, ICCV, ECCV, IROS, ICASSP and 3DV. Aside from his academic life, Tolga is a natural Entrepreneur. He has co-founded multiple companies including Befunky, a widely used web based image processing platform. For further information, visit tbirdal.me and http://campar.in.tum.de/Main/TolgaBirdal.

Honors & Awards


  • Young Professional Award, European Machine Vision Association (EMVA) (2016)
  • Ernst von Siemens Scholarship, Siemens AG (2014-2018)
  • IPAM Computer Vision Graduate Summer School Scholarship, National Science Foundation (NSF) (2013)
  • Best Student Paper Award, ICCV Workshop on Multiview Relationships in 3D Data (2017)
  • Alper Atalay Best Paper Award, IEEE Conference on Signal Processing and Communications Applications (SIU) (2013)
  • Merit Scholarship, Sabanci University (2004-2008)
  • Sait Halman Computer Honor Prize, Robert College (2004)

Stanford Advisors


All Publications


  • Explaining the Ambiguity of Object Detection and 6D Pose from Visual Data International Conference on Computer Vision (ICCV) Manhardt, F., Arroyo, D., Rupprecht, C., Busam, B., Birdal, T., Navab, N., Tombari, F. 2019
  • Ppf-foldnet: Unsupervised learning of rotation invariant 3d local descriptors Proceedings of the European Conference on Computer Vision (ECCV) Deng, H., Birdal, T., Ilic, S. 2018
  • Survey of Higher Order Rigid Body Motion Interpolation Methods for Keyframe Animation and Continuous-Time Trajectory Estimation Haarbach, A., Birdal, T., Ilic, S., IEEE IEEE. 2018: 381–89
  • Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions Busam, B., Birdal, T., Navab, N., IEEE IEEE. 2017: 2436–45
  • A Point Sampling Algorithm for 3D Matching of Irregular Geometries Birdal, T., Ilic, S., Bicchi, A., Okamura, A. IEEE. 2017: 6871–78
  • CAD Priors for Accurate and Flexible Instance Reconstruction Birdal, T., Ilic, S., IEEE IEEE. 2017: 133–42
  • X-Tag: A Fiducial Tag for Flexible and Accurate Bundle Adjustment Birdal, T., Dobryden, I., Ilic, S., IEEE IEEE. 2016: 556–64
  • Online Inspection of 3D Parts via a Locally Overlapping Camera Network Birdal, T., Bala, E., Eren, T., Ilic, S., IEEE IEEE. 2016
  • Point Pair Features Based Object Detection and Pose Estimation Revisited Birdal, T., Ilic, S., Brown, M., Kosecka, J., Theobalt, C. IEEE. 2015: 527–35
  • A UNIFIED PROBABILISTIC FRAMEWORK FOR ROBUST DECODING OF LINEAR BARCODES Simsekli, U., Birdal, T., IEEE IEEE. 2015: 1946–50