Konstantinos Rematas
Konstantinos Rematas
Research Scientist at Google
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Deep reflectance maps
K Rematas, T Ritschel, M Fritz, E Gavves, T Tuytelaars
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
972016
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
582016
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
Soccer on Your Tabletop
K Rematas, I Kemelmacher-Shlizerman, B Curless, S Seitz
Computer Vision and Pattern Recognition (CVPR), 2018
502018
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
472017
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
442011
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
42*2017
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
282016
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
282015
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
252011
The pooled nbnn kernel: Beyond image-to-class and image-to-image
K Rematas, M Fritz, T Tuytelaars
Asian Conference on Computer Vision, 176-189, 2012
232012
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
Photoshape: Photorealistic materials for large-scale shape collections
K Park, K Rematas, A Farhadi, SM Seitz
arXiv preprint arXiv:1809.09761, 2018
192018
Does evolution cause a domain shift?
K Rematas, B Fernando, T Tommasi, T Tuytelaars
Proceedings VisDA 2013, 1-3, 2013
142013
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
102020
Reconstructing nba players
L Zhu, K Rematas, B Curless, SM Seitz, I Kemelmacher-Shlizerman
European Conference on Computer Vision, 177-194, 2020
52020
Kernel density topic models: Visual topics without visual words
K Rematas, M Fritz, T Tuytelaars
NIPS workshops, modern nonparametric methods in machine learning, 2012
52012
ShaRF: Shape-conditioned Radiance Fields from a Single View
K Rematas, R Martin-Brualla, V Ferrari
arXiv preprint arXiv:2102.08860, 2021
12021
From Points to Multi-Object 3D Reconstruction
F Engelmann, K Rematas, B Leibe, V Ferrari
arXiv preprint arXiv:2012.11575, 2020
12020
Watching Sports in Augmented Reality
K Rematas
IEEE Potentials 38 (3), 20-23, 2019
12019
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