| Gradient-based attribution methods M Ancona, E Ceolini, C Öztireli, M Gross Explainable AI: Interpreting, explaining and visualizing deep learning, 169-191, 2019 | 1589* | 2019 |
| Towards better understanding of gradient-based attribution methods for deep neural networks M Ancona, E Ceolini, C Öztireli, M Gross arXiv preprint arXiv:1711.06104, 2017 | 1310 | 2017 |
| Feature preserving point set surfaces based on non‐linear kernel regression AC Öztireli, G Guennebaud, M Gross Computer graphics forum 28 (2), 493-501, 2009 | 566 | 2009 |
| Explaining deep neural networks with a polynomial time algorithm for shapley value approximation M Ancona, C Oztireli, M Gross International Conference on Machine Learning, 272-281, 2019 | 303 | 2019 |
| Differentiable surface splatting for point-based geometry processing W Yifan, F Serena, S Wu, C Öztireli, O Sorkine-Hornung ACM Transactions On Graphics (TOG) 38 (6), 1-14, 2019 | 286 | 2019 |
| Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 231 | 2022 |
| Learning-based sampling for natural image matting J Tang, Y Aksoy, C Oztireli, M Gross, TO Aydin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 157 | 2019 |
| Human shape from silhouettes using generative hks descriptors and cross-modal neural networks E Dibra, H Jain, C Oztireli, R Ziegler, M Gross Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 122 | 2017 |
| D^ 2nerf: Self-supervised decoupling of dynamic and static objects from a monocular video T Wu, F Zhong, A Tagliasacchi, F Cole, C Oztireli Advances in neural information processing systems 35, 32653-32666, 2022 | 121 | 2022 |
| Pointpronets: Consolidation of point clouds with convolutional neural networks R Roveri, AC Öztireli, I Pandele, M Gross Computer Graphics Forum 37 (2), 87-99, 2018 | 117 | 2018 |
| Hs-nets: Estimating human body shape from silhouettes with convolutional neural networks E Dibra, H Jain, C Öztireli, R Ziegler, M Gross 2016 fourth international conference on 3D vision (3DV), 108-117, 2016 | 114 | 2016 |
| Spectral sampling of manifolds AC Öztireli, M Alexa, M Gross ACM Transactions on Graphics (TOG) 29 (6), 1-8, 2010 | 111 | 2010 |
| Deepgarment: 3d garment shape estimation from a single image R Daněřek, E Dibra, C Öztireli, R Ziegler, M Gross Computer Graphics Forum 36 (2), 269-280, 2017 | 93 | 2017 |
| Analysis and synthesis of point distributions based on pair correlation AC Öztireli, M Gross ACM Transactions on Graphics (TOG) 31 (6), 1-10, 2012 | 88 | 2012 |
| Perceptually based downscaling of images AC Oeztireli, M Gross ACM Transactions on Graphics (TOG) 34 (4), 1-10, 2015 | 84 | 2015 |
| A network architecture for point cloud classification via automatic depth images generation R Roveri, L Rahmann, C Oztireli, M Gross Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 79 | 2018 |
| Semantic segmentation for line drawing vectorization using neural networks B Kim, O Wang, AC Öztireli, M Gross Computer Graphics Forum 37 (2), 329-338, 2018 | 66 | 2018 |
| Active mini-batch sampling using repulsive point processes C Zhang, C Öztireli, S Mandt, G Salvi Proceedings of the AAAI conference on Artificial Intelligence 33 (01), 5741-5748, 2019 | 57 | 2019 |
| Shape from selfies: Human body shape estimation using cca regression forests E Dibra, C Öztireli, R Ziegler, M Gross Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 55 | 2016 |
| Iso-points: Optimizing neural implicit surfaces with hybrid representations W Yifan, S Wu, C Oztireli, O Sorkine-Hornung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 54 | 2021 |
Markus GrossETH Zurich, Disney Research ZurichPatvirtintas el. paštas inf.ethz.ch
