L. Zeng, A. Lengyel, N. Tömen, J.C. van Gemert (2022), Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation, In 33rd British Machine Vision Conference 2022, {BMVC} 2022, London, UK, November 21-24, 2022, BMVA Press.

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.

David W. Romero, R. Bruintjes, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn, J.C. van Gemert (2022), FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes.

Ombretta Strafforello, Vanathi Rajasekart, Osman S. Kayhan, Oana Inel, Jan van Gemert (2022), Humans Disagree With the IoU for Measuring Object Detector Localization Error, In Proceedings of the 2022 IEEE International Conference on Image Processing (ICIP) p.1261-1265, IEEE.

M. Bittner, W. Yang, X. Zhang, A. Seth, J.C. van Gemert, F.C.T. van der Helm (2022), Towards Single Camera Human 3D-Kinematics, In Sensors Volume 23.

Attila Lengyel, Jan van Gemert (2021), Exploiting Learned Symmetries in Group Equivariant Convolutions, In 2021 IEEE International Conference on Image Processing (ICIP) p.759-763, IEEE.

Osman Semih Kayhan, Bart Vredebregt, Jan C. van Gemert (2021), Hallucination In Object Detection: A Study In Visual Part VERIFICATION, In 2021 IEEE International Conference on Image Processing (ICIP) p.2234-2238, 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.

Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert (2021), No frame left behind: Full Video Action Recognition, L. O'Conner (Eds.), In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) p.14887-14896, IEEE.

Noor ul Sehr Zia, Osman Semih Kayhan, Jan van Gemert (2021), PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations, In 2021 IEEE International Conference on Image Processing (ICIP) p.2598-2602, IEEE.