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Sebastian Lutz
Sebastian Lutz
Postdoctoral Researcher, Trinity College Dublin
Verified email at tcd.ie
Title
Cited by
Cited by
Year
Alphagan: Generative adversarial networks for natural image matting
S Lutz, K Amplianitis, A Smolic
British Machine Vision Conference 2018, 2018
1762018
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
1742018
Stada: Style transfer as data augmentation
X Zheng, T Chalasani, K Ghosal, S Lutz, A Smolic
arXiv preprint arXiv:1909.01056, 2019
672019
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
132022
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
72021
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
52019
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
22019
Deep Convolutional Neural Networks for estimating lens distortion parameters
S Lutz, M Davey, A Smolic
Technological University Dublin, 2019
22019
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
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Articles 1–13