| Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes S Hinterstoisser, V Lepetit, S Ilic, S Holzer, G Bradski, K Konolige, ... Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 1226 | 2013 |
| Model globally, match locally: Efficient and robust 3D object recognition B Drost, M Ulrich, N Navab, S Ilic 2010 IEEE computer society conference on computer vision and pattern …, 2010 | 1026 | 2010 |
| Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again W Kehl, F Manhardt, F Tombari, S Ilic, N Navab Proceedings of the IEEE international conference on computer vision, 1521-1529, 2017 | 900 | 2017 |
| Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes S Hinterstoisser, S Holzer, C Cagniart, S Ilic, K Konolige, N Navab, ... 2011 international conference on computer vision, 858-865, 2011 | 669 | 2011 |
| Gradient response maps for real-time detection of textureless objects S Hinterstoisser, C Cagniart, S Ilic, P Sturm, N Navab, P Fua, V Lepetit IEEE transactions on pattern analysis and machine intelligence 34 (5), 876-888, 2011 | 667 | 2011 |
| Ppfnet: Global context aware local features for robust 3d point matching H Deng, T Birdal, S Ilic Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 429 | 2018 |
| Dpod: 6d pose object detector and refiner S Zakharov, I Shugurov, S Ilic Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 334 | 2019 |
| Dominant orientation templates for real-time detection of texture-less objects S Hinterstoisser, V Lepetit, S Ilic, P Fua, N Navab 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 320 | 2010 |
| Deep learning of local rgb-d patches for 3d object detection and 6d pose estimation W Kehl, F Milletari, F Tombari, S Ilic, N Navab Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 313 | 2016 |
| Ppf-foldnet: Unsupervised learning of rotation invariant 3d local descriptors H Deng, T Birdal, S Ilic Proceedings of the European conference on computer vision (ECCV), 602-618, 2018 | 297 | 2018 |
| 3D pictorial structures for multiple human pose estimation V Belagiannis, S Amin, M Andriluka, B Schiele, N Navab, S Ilic Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 243 | 2014 |
| Killingfusion: Non-rigid 3d reconstruction without correspondences M Slavcheva, M Baust, D Cremers, S Ilic Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 165 | 2017 |
| Surface deformation models for nonrigid 3D shape recovery M Salzmann, J Pilet, S Ilic, P Fua IEEE transactions on pattern analysis and machine intelligence 29 (8), 1481-1487, 2007 | 162 | 2007 |
| Probabilistic deformable surface tracking from multiple videos C Cagniart, E Boyer, S Ilic Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 158 | 2010 |
| Point pair features based object detection and pose estimation revisited T Birdal, S Ilic 2015 International conference on 3D vision, 527-535, 2015 | 126 | 2015 |
| Image based fog detection in vehicles M Pavlić, H Belzner, G Rigoll, S Ilić 2012 IEEE Intelligent Vehicles Symposium, 1132-1137, 2012 | 105 | 2012 |
| 3d object detection and localization using multimodal point pair features B Drost, S Ilic 2012 Second International Conference on 3D Imaging, Modeling, Processing …, 2012 | 104 | 2012 |
| 3d pictorial structures revisited: Multiple human pose estimation V Belagiannis, S Amin, M Andriluka, B Schiele, N Navab, S Ilic IEEE transactions on pattern analysis and machine intelligence 38 (10), 1929 …, 2015 | 102 | 2015 |
| Free-form mesh tracking: a patch-based approach C Cagniart, E Boyer, S Ilic 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010 | 102 | 2010 |
| 3D local features for direct pairwise registration H Deng, T Birdal, S Ilic Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 101 | 2019 |
Pascal FuaProfessor Computer Science, EPFLПотвърден имейл адрес: epfl.ch
