Urban radiance fields K Rematas, A Liu, PP Srinivasan, JT Barron, A Tagliasacchi, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 250 | 2022 |
Deep reflectance maps K Rematas, T Ritschel, M Fritz, E Gavves, T Tuytelaars Proceedings of the IEEE Conference on computer vision and pattern …, 2016 | 125 | 2016 |
Soccer on Your Tabletop K Rematas, I Kemelmacher-Shlizerman, B Curless, S Seitz Computer Vision and Pattern Recognition (CVPR), 2018 | 121 | 2018 |
Sharf: Shape-conditioned radiance fields from a single view K Rematas, R Martin-Brualla, V Ferrari arXiv preprint arXiv:2102.08860, 2021 | 105 | 2021 |
Novel views of objects from a single image K Rematas, CH Nguyen, T Ritschel, M Fritz, T Tuytelaars IEEE transactions on pattern analysis and machine intelligence 39 (8), 1576-1590, 2016 | 92 | 2016 |
Reflectance and natural illumination from single-material specular objects using deep learning S Georgoulis, K Rematas, T Ritschel, E Gavves, M Fritz, L Van Gool, ... IEEE transactions on pattern analysis and machine intelligence 40 (8), 1932-1947, 2017 | 91 | 2017 |
Photoshape: Photorealistic materials for large-scale shape collections K Park, K Rematas, A Farhadi, SM Seitz arXiv preprint arXiv:1809.09761, 2018 | 80 | 2018 |
Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models K Rematas, T Ritschel, M Fritz, T Tuytelaars Computer Vision and Pattern Recognition (CVPR), 2014 | 66 | 2014 |
What Is Around The Camera? S Georgoulis, K Rematas, T Ritschel, M Fritz, T Tuytelaars, L Van Gool International Conference in Computer Vision (ICCV), 2017 | 64 | 2017 |
Level-set person segmentation and tracking with multi-region appearance models and top-down shape information E Horbert, K Rematas, B Leibe 2011 International Conference on Computer Vision, 1871-1878, 2011 | 48 | 2011 |
From points to multi-object 3D reconstruction F Engelmann, K Rematas, B Leibe, V Ferrari Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 46 | 2021 |
Reconstructing nba players L Zhu, K Rematas, B Curless, SM Seitz, I Kemelmacher-Shlizerman Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 37 | 2020 |
Neural voxel renderer: Learning an accurate and controllable rendering tool K Rematas, V Ferrari Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 36 | 2020 |
Delight-net: Decomposing reflectance maps into specular materials and natural illumination S Georgoulis, K Rematas, T Ritschel, M Fritz, L Van Gool, T Tuytelaars arXiv preprint arXiv:1603.08240, 2016 | 34 | 2016 |
Dataset fingerprints: Exploring image collections through data mining K Rematas, B Fernando, F Dellaert, T Tuytelaars Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 31 | 2015 |
Efficient object detection and segmentation with a cascaded hough forest ism K Rematas, B Leibe 2011 IEEE international conference on computer vision workshops (ICCV …, 2011 | 27 | 2011 |
The pooled nbnn kernel: Beyond image-to-class and image-to-image K Rematas, M Fritz, T Tuytelaars Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 24 | 2013 |
Multi-Class Image Labeling with Top-Down Segmentation and Generalized Robust P^N Potentials. G Floros, K Rematas, B Leibe BMVC 1 (4), 6, 2011 | 22 | 2011 |
Does evolution cause a domain shift K Rematas, B Fernando, T Tommasi, T Tuytelaars International Workshop on Visual Domain Adaptation and Dataset Bias-ICCV 2013, 2013 | 14 | 2013 |
Watching sports in augmented reality K Rematas IEEE Potentials 38 (3), 20-23, 2019 | 9 | 2019 |