Summary
Tolga Birdal is an assistant professor (Lecturer) in the Department of Computing of Imperial College London. Previously, he was a senior Postdoctoral Research Fellow at Stanford University within the Geometric Computing Group of Prof. Leonidas Guibas. Tolga has defended his masters and Ph.D. theses at the Computer Vision Group under Chair for Computer Aided Medical Procedures, Technical University of Munich led by Prof. Nassir Navab. He was also a Doktorand at Siemens AG under supervision of Dr. Slobodan Ilic working on “Geometric Methods for 3D Reconstruction from Large Point Clouds”. His current foci of interest involve geometric machine learning and 3D computer vision. More theoretical work is aimed at investigating and interrogating limits in geometric computing and non-Euclidean inference as well as principles of deep learning. Tolga has several publications at the well-respected venues such as NeurIPS, CVPR, ICCV, ECCV, T-PAMI, ICRA, IROS, ICASSP and 3DV. Aside from his academic life, Tolga has co-founded multiple companies including Befunky, a widely used web-based image editing platform.
Publications
Journals
Huang J, Birdal T, Gojcic Z, et al., 2023, Multiway non-rigid point cloud registration via learned functional map synchronization, Ieee Transactions on Pattern Analysis and Machine Intelligence, Vol:45, ISSN:0162-8828, Pages:2038-2053
Conference
Haji MA, Bond A, Birdal T, et al., 2023, VidStyleODE: disentangled video editing via StyleGAN and NeuralODEs, IEEE/CVF International Conference on Computer Vision (ICCV), Computer Vision Foundation, Pages:7523-7534
Mankovich N, Birdal T, Chordal averaging on flag manifolds and its applications, IEEE/CVF International Conference on Computer Vision (ICCV) 2023, Computer Vision Foundation, Pages:3881-3890
Yurtsever A, Birdal T, Golyanik V, 2022, Q-FW: a hybrid classical-quantum Frank-Wolfe for quadratic binary optimization, 17th European Conference on Computer Vision (ECCV), SPRINGER INTERNATIONAL PUBLISHING AG, Pages:352-369, ISSN:0302-9743
Chen J, Yin Y, Birdal T, et al., 2022, Projective manifold gradient layer for deep rotation regression, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE COMPUTER SOC, Pages:6636-6645, ISSN:1063-6919