Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert (2023), A step towards understanding why classification helps regression, Cristina Ceballos (Eds.), In Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV) p.19915-19924, IEEE.

Y. Lin (2022), Data-efficient learning of geometric structures from single-view images, PhD Thesis Delft University of Technology.

Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert (2022), Deep Vanishing Point Detection: Geometric priors make dataset variations vanish, L. O'Conner (Eds.), In Proceedings of the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) p.6093-6103, IEEE.

Andrea Alfieri, Yancong Lin, Jan C. van Gemert (2021), Investigating transformers in the decomposition of polygonal shapes as point collections, L. O'Conner (Eds.), In Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021 p.2076-2085, IEEE.

Yancong Lin, Silvia-Laura Pintea, Jan van Gemert (2021), Semi-Supervised Lane Detection With Deep Hough Transform, In 2021 IEEE International Conference on Image Processing (ICIP) p.1514-1518, IEEE.

Y. Lin, S. Pintea, J.C. van Gemert (2020), Deep Hough-Transform Line Priors, Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (Eds.), In Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings Volume 12367 p.323-340, Springer.