| Flexconv: Continuous kernel convolutions with differentiable kernel sizes DW Romero, RJ Bruintjes, JM Tomczak, EJ Bekkers, M Hoogendoorn, ... arXiv preprint arXiv:2110.08059, 2021 | 101 | 2021 |
| Probabilistic multileave for online retrieval evaluation A Schuth, RJ Bruintjes, F Buüttner, J van Doorn, C Groenland, ... Proceedings of the 38th international ACM SIGIR Conference on Research and …, 2015 | 36 | 2015 |
| Vipriors 3: Visual inductive priors for data-efficient deep learning challenges RJ Bruintjes, A Lengyel, MB Rios, OS Kayhan, D Zambrano, N Tomen, ... arXiv preprint arXiv:2305.19688, 2023 | 21 | 2023 |
| Vipriors 2: visual inductive priors for data-efficient deep learning challenges A Lengyel, RJ Bruintjes, MB Rios, OS Kayhan, D Zambrano, N Tomen, ... arXiv preprint arXiv:2201.08625, 2022 | 11 | 2022 |
| What affects learned equivariance in deep image recognition models? RJ Bruintjes, T Motyka, J van Gemert Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |
| Domain adaptation for rare classes augmented with synthetic samples T Das, RJ Bruintjes, A Lengyel, J van Gemert, S Beery arXiv preprint arXiv:2110.12216, 2021 | 9 | 2021 |
| Flexconv: Continuous kernel convolutions with differentiable kernel sizes (2022) DW Romero, RJ Bruintjes, JM Tomczak, EJ Bekkers, M Hoogendoorn, ... arXiv preprint arXiv:2110.08059, 0 | 5 | |
| Color equivariant convolutional networks A Lengyel, O Strafforello, RJ Bruintjes, A Gielisse, J van Gemert Advances in Neural Information Processing Systems 36, 29831-29850, 2023 | 4 | 2023 |
| Scale Learning in Scale-Equivariant Convolutional Networks. M Basting, RJ Bruintjes, T Wiedemer, M Kümmerer, M Bethge, ... VISIGRAPP (2): VISAPP, 567-574, 2024 | 2 | 2024 |
| Benchmarking data efficiency and computational efficiency of temporal action localization models J Warchocki, T Oprescu, Y Wang, A Dămăcuş, P Misterka, RJ Bruintjes, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 1 | 2023 |
| Data-efficient gan for synthetic samples of rare classes J Oosterbaan, RJ Bruintjes, A Lengyel, J van Gemert TU Delft Bachelor Thesis 3, 2021 | 1 | 2021 |
| Transferring a Segmentation Task Between Real and Synthetic Data E Dorrestijn, RJ Bruintjes, A Lengyel, J van Gemert11 | | |
Jan van GemertComputer Vision Lab, Delft University of TechnologyVerified email at tudelft.nl
