| Faceshop: Deep sketch-based face image editing T Portenier, Q Hu, A Szabo, SA Bigdeli, P Favaro, M Zwicker ACM Transactions on Graphics (TOG) 37, 2018 | 175 | 2018 |
| Deep mean-shift priors for image restoration SA Bigdeli, M Jin, P Favaro, M Zwicker NeurIPS 2017, 2017 | 145* | 2017 |
| Image restoration using autoencoding priors S Arjomand Bigdeli, M Zwicker Proceedings of the 13th International Joint Conference on Computer Vision …, 2018 | 88* | 2018 |
| Efficient neural vision systems based on convolutional image acquisition P Pad, S Narduzzi, C Kundig, E Turetken, SA Bigdeli, LA Dunbar Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 28 | 2020 |
| AIM 2020 challenge on image extreme inpainting E Ntavelis, A Romero, S Bigdeli, R Timofte, Z Hui, X Wang, X Gao, C Shin, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 27* | 2020 |
| Hand-held 3D light field photography and applications D Donatsch, SA Bigdeli, P Robert, M Zwicker The Visual Computer 30, 897-907, 2014 | 25 | 2014 |
| GramGAN: Deep 3D Texture Synthesis From 2D Exemplars T Portenier, S Bigdeli, O Göksel NeurIPS 2020, 2020 | 24 | 2020 |
| Learning generative models using denoising density estimators SA Bigdeli, G Lin, LA Dunbar, T Portenier, M Zwicker IEEE Transactions on Neural Networks and Learning Systems, 2023 | 20 | 2023 |
| Machine learning algorithms can predict tail biting outbreaks in pigs using feeding behaviour records C Ollagnier, C Kasper, A Wallenbeck, L Keeling, G Bee, SA Bigdeli PloS one 18 (1), e0252002, 2023 | 11 | 2023 |
| Optimizing the consumption of spiking neural networks with activity regularization S Narduzzi, SA Bigdeli, SC Liu, LA Dunbar ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 11 | 2022 |
| Efficient blind-spot neural network architecture for image denoising D Honzátko, SA Bigdeli, E Türetken, LA Dunbar 2020 7th Swiss Conference on Data Science (SDS), 59-60, 2020 | 10 | 2020 |
| Image restoration using plug-and-play cnn map denoisers S Bigdeli, D Honzátko, S Süsstrunk, LA Dunbar Proceedings of the 15th International Joint Conference on Computer Vision …, 2020 | 10 | 2020 |
| Defect segmentation for multi-illumination quality control systems D Honzátko, E Türetken, SA Bigdeli, LA Dunbar, P Fua Machine Vision and Applications 32 (6), 118, 2021 | 7 | 2021 |
| Deep semantic segmentation using nir as extra physical information S Bigdeli, S Süsstrunk 2019 IEEE International Conference on Image Processing (ICIP), 2439-2443, 2019 | 6 | 2019 |
| Are Sex-Based Physiological Differences the Cause of Gender Bias for Chest X-Ray Diagnosis? N Weng, S Bigdeli, E Petersen, A Feragen Workshop on Clinical Image-Based Procedures, 142-152, 2023 | 5 | 2023 |
| Real time eye gaze tracking for human machine interaction in the cockpit E Türetkin, S Saeedi, S Bigdeli, P Stadelmann, N Cantale, L Lutnyk, ... AI and Optical Data Sciences III 12019, 24-33, 2022 | 4 | 2022 |
| Detecting memorization in ReLU networks E Collins, SA Bigdeli, S Süsstrunk arXiv preprint arXiv:1810.03372, 2018 | 4 | 2018 |
| Temporally coherent disparity maps using CRFs with fast 4D filtering SA Bigdeli, G Budweiser, M Zwicker IPSJ Transactions on Computer Vision and Applications 8 (1), 10, 2016 | 3 | 2016 |
| Diffusion-based Iterative Counterfactual Explanations for Fetal Ultrasound Image Quality Assessment P Pegios, M Lin, N Weng, MBS Svendsen, Z Bashir, S Bigdeli, ... arXiv preprint arXiv:2403.08700, 2024 | 2 | 2024 |
| Fast diffusion-based counterfactuals for shortcut removal and generation N Weng, P Pegios, A Feragen, E Petersen, S Bigdeli arXiv preprint arXiv:2312.14223, 2023 | 2 | 2023 |
