| Complex wavelets for extended depth‐of‐field: A new method for the fusion of multichannel microscopy images B Forster, D Van De Ville, J Berent, D Sage, M Unser Microscopy research and technique 65 (1‐2), 33-42, 2004 | 466 | 2004 |
| TF-Agents: A library for reinforcement learning in tensorflow S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ... GitHub repository, 2018 | 166 | 2018 |
| Sampling piecewise sinusoidal signals with finite rate of innovation methods J Berent, PL Dragotti, T Blu IEEE Transactions on Signal Processing 58 (2), 613-625, 2009 | 91 | 2009 |
| Plenoptic manifolds J Berent, PL Dragotti IEEE Signal Processing Magazine 24 (6), 34-44, 2007 | 83 | 2007 |
| Cap2det: Learning to amplify weak caption supervision for object detection K Ye, M Zhang, A Kovashka, W Li, D Qin, J Berent Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 55 | 2019 |
| Correlated input-dependent label noise in large-scale image classification M Collier, B Mustafa, E Kokiopoulou, R Jenatton, J Berent Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 52 | 2021 |
| Extended depth-of-focus for multi-channel microscopy images: a complex wavelet approach B Forster, D Van De Ville, J Berent, D Sage, M Unser 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro …, 2004 | 51 | 2004 |
| Segmentation of epipolar-plane image volumes with occlusion and disocclusion competition J Berent, PL Dragotti 2006 IEEE Workshop on Multimedia Signal Processing, 182-185, 2006 | 45 | 2006 |
| TF-Agents: A library for reinforcement learning in tensorflow, 2018 S Guadarrama, A Korattikara, O Ramirez, P Castro, E Holly, S Fishman, ... URL https://github. com/tensorflow/agents, 2019 | 24 | 2019 |
| A simple probabilistic method for deep classification under input-dependent label noise M Collier, B Mustafa, E Kokiopoulou, R Jenatton, J Berent arXiv preprint arXiv:2003.06778, 2020 | 21 | 2020 |
| Unsupervised Extraction of Coherent Regions for Image Based Rendering. J Berent, PL Dragotti BMVC, 1-10, 2007 | 19 | 2007 |
| WebVision challenge: visual learning and understanding with web data W Li, L Wang, W Li, E Agustsson, J Berent, A Gupta, R Sukthankar, ... arXiv preprint arXiv:1705.05640, 2017 | 17 | 2017 |
| Layer-based sparse representation of multiview images A Gelman, J Berent, PL Dragotti EURASIP Journal on Advances in Signal Processing 2012, 1-15, 2012 | 17 | 2012 |
| Fast task-aware architecture inference E Kokiopoulou, A Hauth, L Sbaiz, A Gesmundo, G Bartok, J Berent arXiv preprint arXiv:1902.05781, 2019 | 15 | 2019 |
| Routing networks with co-training for continual learning M Collier, E Kokiopoulou, A Gesmundo, J Berent arXiv preprint arXiv:2009.04381, 2020 | 14 | 2020 |
| Gumbel-matrix routing for flexible multi-task learning K Maziarz, E Kokiopoulou, A Gesmundo, L Sbaiz, G Bartok, J Berent | 13 | 2019 |
| Prediction of media selection consumption using analysis of user behavior L Sbaiz, J Berent US Patent 9,462,313, 2016 | 13 | 2016 |
| Deep classifiers with label noise modeling and distance awareness V Fortuin, M Collier, F Wenzel, J Allingham, J Liu, D Tran, ... arXiv preprint arXiv:2110.02609, 2021 | 11 | 2021 |
| Transfer and marginalize: Explaining away label noise with privileged information M Collier, R Jenatton, E Kokiopoulou, J Berent International Conference on Machine Learning, 4219-4237, 2022 | 10 | 2022 |
| Perfect reconstruction schemes for sampling piecewise sinusoidal signals J Berent, PL Dragotti 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 10 | 2006 |
