| Energy dissipation with plug-and-play priors H Sommerhoff, A Kolb, M Moeller NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks, 2019 | 12 | 2019 |
| Neural volume super-resolution Y Bahat, Y Zhang, H Sommerhoff, A Kolb, F Heide arXiv preprint arXiv:2212.04666, 2022 | 7 | 2022 |
| Task driven sensor layouts-Joint optimization of pixel layout and network parameters H Sommerhoff, S Agnihotri, M Saleh, M Moeller, M Keuper, B Choubey, ... 2024 IEEE International Conference on Computational Photography (ICCP), 1-10, 2024 | 5* | 2024 |
| Realistic lens distortion rendering M Lambers, H Sommerhoff, A Kolb Václav Skala-UNION Agency, 2018 | 5 | 2018 |
| Fast motion estimation for field sequential imaging: Survey and benchmark H Steiner, H Sommerhoff, D Bulczak, N Jung, M Lambers, A Kolb Image and Vision Computing 89, 170-182, 2019 | 4 | 2019 |
| A generic framework for depth reconstruction enhancement H Sommerhoff, A Kolb Journal of Imaging 8 (5), 138, 2022 | 3 | 2022 |
| Variable layout CMOS pixels for end-to-end learning in task specific image sensors B Choubey, H Sommerhoff, M Moeller, A Kolb 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS …, 2024 | 1 | 2024 |
| Light field implicit representation for flexible resolution reconstruction P Chandramouli, H Sommerhoff, A Kolb arXiv preprint arXiv:2112.00185, 2021 | 1 | 2021 |
| Hashed, binned A-buffer for real-time outlier removal and rendering of noisy point clouds H Sommerhoff, A Kolb The Visual Computer 40 (3), 1825-1838, 2024 | | 2024 |
| Training of Lipschitz Continuous Deep Neural Networks H Sommerhoff University of Siegen, 2019 | | 2019 |
| Roll the dice: Monte Carlo Downsampling as a low-cost Adversarial Defence S Agnihotri, S Priyadarshi, H Sommerhoff, J Grabinski, A Kolb, M Keuper | | |
Andreas KolbComputer Science, University of SiegenVahvistettu sähköpostiosoite verkkotunnuksessa uni-siegen.de
