| Gradient-based attribution methods M Ancona, E Ceolini, C Öztireli, M Gross Explainable AI: Interpreting, explaining and visualizing deep learning, 169-191, 2019 | 1099* | 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 | 932 | 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 | 506 | 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 | 203 | 2019 |
| 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 | 123 | 2019 |
| Spectral sampling of manifolds AC Öztireli, M Alexa, M Gross ACM Transactions on Graphics (TOG) 29 (6), 1-8, 2010 | 104 | 2010 |
| 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 | 98 | 2019 |
| 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 | 96 | 2016 |
| 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 | 95 | 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 |
| 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 | 79 | 2017 |
| 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 | 73 | 2018 |
| Perceptually based downscaling of images AC Oeztireli, M Gross ACM Transactions on Graphics (TOG) 34 (4), 1-10, 2015 | 71 | 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 | 64 | 2018 |
| 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 | 56 | 2022 |
| 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 | 53 | 2018 |
| A new feature-based method for robust and efficient rigid-body registration of overlapping point clouds C Basdogan, AC Oztireli The Visual Computer 24, 679-688, 2008 | 50 | 2008 |
| Differential blending for expressive sketch-based posing AC Öztireli, I Baran, T Popa, B Dalstein, RW Sumner, M Gross Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer …, 2013 | 49 | 2013 |
| 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 | 46 | 2016 |
| 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 | 42 | 2019 |
Markus GrossETH Zurich, Disney Research ZurichVerified email at inf.ethz.ch
