| Alphagan: Generative adversarial networks for natural image matting S Lutz, K Amplianitis, A Smolic British Machine Vision Conference 2018, 2018 | 198 | 2018 |
| Salnet360: Saliency maps for omni-directional images with cnn R Monroy, S Lutz, T Chalasani, A Smolic Signal Processing: Image Communication 69, 26-34, 2018 | 185 | 2018 |
| Stada: Style transfer as data augmentation X Zheng, T Chalasani, K Ghosal, S Lutz, A Smolic arXiv preprint arXiv:1909.01056, 2019 | 78 | 2019 |
| Jointformer: Single-frame lifting transformer with error prediction and refinement for 3d human pose estimation S Lutz, R Blythman, K Ghosal, M Moynihan, C Simms, A Smolic 2022 26th International Conference on Pattern Recognition (ICPR), 1156-1163, 2022 | 25 | 2022 |
| Frequency-domain loss function for deep exposure correction of dark images O Yadav, K Ghosal, S Lutz, A Smolic Signal, Image and Video Processing 15 (8), 1829-1836, 2021 | 12 | 2021 |
| Augmenting hand-drawn art with global illumination effects through surface inflation M Hudon, S Lutz, R Pagés, A Smolic Proceedings of the 16th ACM SIGGRAPH European Conference on Visual Media …, 2019 | 7 | 2019 |
| Alphagan: Generative adversarial networks for natural image matting. arXiv 2018 S Lutz, K Amplianitis, A Smolic arXiv preprint arXiv:1807.10088, 0 | 5 | |
| Jumping in at the deep end: how to experiment with machine learning in post-production software D Ring, J Barbier, G Gales, B Kent, S Lutz Proceedings of the 2019 Digital Production Symposium, 1-5, 2019 | 2 | 2019 |
| Deep Convolutional Neural Networks for estimating lens distortion parameters S Lutz, M Davey, A Smolic Technological University Dublin, 2019 | 2 | 2019 |
| Unveiling the Digital Evolution of Molecular Tumor Boards S Lutz, A D’Angelo, S Hammerl, M Schmutz, R Claus, NM Fischer, ... Targeted Oncology, 1-17, 2024 | | 2024 |
| Adaptation of Graph Convolutional Neural Networks and Graph Layer-wise Relevance Propagation to the Spektral library with application to gene expression data of Colorectal … S Lutz, F Auer, D Hartmann, H Chereda, T Beißbarth, F Kramer bioRxiv, 2023.01. 26.525010, 2023 | | 2023 |
| Exploration of Deep Learning Techniques for Natural Image Matting S Lutz Trinity College Dublin, 2021 | | 2021 |
| Foreground color prediction through inverse compositing S Lutz, A Smolic Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | | 2021 |
| A Study of Image and Video Reconstruction Applications of a Novel Frequency-Domain Loss Function O Yadav, S Lutz, K Ghosal, A Smolic | | |
