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Publications:  Dr Georgios Tzimiropoulos

Kossaifi J, Bulat A, Tzimiropoulos G, Pantic M (2019). T-net: Parametrizing fully convolutional nets with a single high-order tensor. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. vol. 2019-June, 7814-7823.
10.1109/CVPR.2019.00801
Bulat A, Tzimiropoulos G(2018). Hierarchical Binary CNNs for Landmark Localization with Limited Resources. IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 42, (2) 343-356.
10.1109/TPAMI.2018.2866051
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64924
Bulat A, Tzimiropoulos G (2017). How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks). Proceedings of the IEEE International Conference on Computer Vision. vol. 2017-October, 1021-1030.
10.1109/ICCV.2017.116
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64928
Jackson AS, Bulat A, Argyriou V, Tzimiropoulos G (2017). Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression. Proceedings of the IEEE International Conference on Computer Vision. Conference: IEEE International Conference on Computer Vision vol. 2017-October, 1031-1039.
10.1109/ICCV.2017.117
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64927
Sanchez-Lozano E, Tzimiropoulos G, Martinez B, Torre FDL, Valstar M(2017). A Functional Regression Approach to Facial Landmark Tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 40, (9) 2037-2050.
10.1109/TPAMI.2017.2745568
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64925
Bulat A, Tzimiropoulos G (2016). Human pose estimation via convolutional part heatmap regression. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Conference: https://link.springer.com/conference/eccv vol. 9911 LNCS, 717-732.
10.1007/978-3-319-46478-7_44
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64926
Bulat A, Tzimiropoulos G (2016). Convolutional aggregation of local evidence for large pose face alignment. British Machine Vision Conference 2016, BMVC 2016. vol. 2016-September, 86.1-86.12.
10.5244/C.30.86
Tzimiropoulos G, Pantic M (2014). Gauss-Newton deformable part models for face alignment in-the-wild. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Conference: IEEE Computer Society Conference on Computer Vision and Pattern Recognition1851-1858.
10.1109/CVPR.2014.239
https://qmro.qmul.ac.uk/xmlui/handle/123456789/64929
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