A. Lengyel (2024), On Color and Symmetries for Data Efficient Deep Learning, PhD Thesis Delft University of Technology.

J. Warchocki, T. Oprescu, Y. Wang, A. Dămăcuș, P.M. Misterka, R. Bruintjes, A. Lengyel, O. Strafforello, J.C. van Gemert (2023), Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops p.3008-3016.

A. Lengyel, O. Strafforello, R. Bruintjes, A.S. Gielisse, J.C. van Gemert (2023), Color Equivariant Convolutional Networks, In 37th Conference on Neural Information Processing Systems.

T.F. Edixhoven, A. Lengyel, J.C. van Gemert (2023), Using and Abusing Equivariance, In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops p.119-128.

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.

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.

A. Lengyel, Sourav Garg, Michael Milford, J.C. van Gemert (2021), Zero-Shot Day-Night Domain Adaptation with a Physics Prior, L. O'Conner (Eds.), In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) p.4399 - 4409.