Следене
Konstantinos Rematas
Konstantinos Rematas
Research Scientist at Google
Потвърден имейл адрес: google.com - Начална страница
Заглавие
Позовавания
Позовавания
Година
Deep reflectance maps
K Rematas, T Ritschel, M Fritz, E Gavves, T Tuytelaars
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1122016
Soccer on Your Tabletop
K Rematas, I Kemelmacher-Shlizerman, B Curless, S Seitz
Computer Vision and Pattern Recognition (CVPR), 2018
852018
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
752016
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
712017
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
582014
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
512017
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
462011
Sharf: Shape-conditioned radiance fields from a single view
K Rematas, R Martin-Brualla, V Ferrari
arXiv preprint arXiv:2102.08860, 2021
452021
Photoshape: Photorealistic materials for large-scale shape collections
K Park, K Rematas, A Farhadi, SM Seitz
arXiv preprint arXiv:1809.09761, 2018
442018
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
312022
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
302016
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
292021
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
262015
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
262011
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
252020
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
242013
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
232020
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
212011
Does evolution cause a domain shift?
K Rematas, B Fernando, T Tommasi, T Tuytelaars
Proceedings VisDA 2013, 1-3, 2013
142013
Watching sports in augmented reality
K Rematas
IEEE Potentials 38 (3), 20-23, 2019
62019
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20