| Revisiting the calibration of modern neural networks M Minderer, J Djolonga, R Romijnders, F Hubis, X Zhai, N Houlsby, ... Advances in Neural Information Processing Systems 34, 15682-15694, 2021 | 253 | 2021 |
| On robustness and transferability of convolutional neural networks J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 127 | 2021 |
| Applying deep bidirectional LSTM and mixture density network for basketball trajectory prediction Y Zhao, R Yang, G Chevalier, RC Shah, R Romijnders Optik 158, 266-272, 2018 | 91 | 2018 |
| Applying deep learning to basketball trajectories R Shah, R Romijnders arXiv preprint arXiv:1608.03793, 2016 | 76 | 2016 |
| Impact of aliasing on generalization in deep convolutional networks C Vasconcelos, H Larochelle, V Dumoulin, R Romijnders, N Le Roux, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 36 | 2021 |
| A domain agnostic normalization layer for unsupervised adversarial domain adaptation R Romijnders, P Meletis, G Dubbelman 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1866-1875, 2019 | 28 | 2019 |
| Robustness Metrics, 2020 J Djolonga, F Hubis, M Minderer, Z Nado, J Nixon, R Romijnders, D Tran, ... URL https://github. com/google-research/robustness_metrics, 0 | 9 | |
| Representation learning from videos in-the-wild: An object-centric approach R Romijnders, A Mahendran, M Tschannen, J Djolonga, M Ritter, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 8 | 2021 |
| Si-score: An image dataset for fine-grained analysis of robustness to object location, rotation and size J Yung, R Romijnders, A Kolesnikov, L Beyer, J Djolonga, N Houlsby, ... arXiv preprint arXiv:2104.04191, 2021 | 7 | 2021 |
| Beyond transfer learning: Co-finetuning for action localisation A Arnab, X Xiong, A Gritsenko, R Romijnders, J Djolonga, M Dehghani, ... arXiv preprint arXiv:2207.03807, 2022 | 5 | 2022 |
| No time to waste: practical statistical contact tracing with few low-bit messages R Romijnders, YM Asano, C Louizos, M Welling International Conference on Artificial Intelligence and Statistics 206, 7943 …, 2023 | 3 | 2023 |
| Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision P Meletis, R Romijnders, G Dubbelman 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3682-3688, 2019 | 3 | 2019 |
| Protect Your Score: Contact-Tracing with Differential Privacy Guarantees R Romijnders, C Louizos, YM Asano, M Welling Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14829 …, 2024 | 1 | 2024 |
| DNA: Differentially private Neural Augmentation for contact tracing R Romijnders, C Louizos, YM Asano, M Welling arXiv preprint arXiv:2404.13381, 2024 | | 2024 |
| The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection. S Mariani, SR Klomp, R Romijnders, Peter HN de With VISIGRAPP (5: VISAPP), 723-730, 2023 | | 2023 |
| Beyond Traditional Transfer Learning: Co-finetuning for Action Localisation A Arnab, X Xiong, AA Gritsenko, R Romijnders, J Djolonga, M Dehghani, ... | | 2022 |
Mario LučićResearch Scientist, Google DeepMindEmail verificata su google.com
