Konstantinos Rematas

According to our database, Konstantinos Rematas authored at least 24 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Differentiable visual computing for inverse problems and machine learning.

Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai

Nat. Mac. Intell., October, 2023

2022

Urban Radiance Fields.

Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

TensorFlow graphics: differentiable computer graphics in tensorflow.

Cengiz Öztireli, Christian Häne, Forrester Cole, Konstantinos Rematas, Sofien Bouaziz

Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021

Sharf: Shape-conditioned Radiance Fields from a Single View.

Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari

Proceedings of the 38th International Conference on Machine Learning, 2021

From Points to Multi-Object 3D Reconstruction.

Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Reconstructing NBA Players.

Luyang Zhu, Konstantinos Rematas, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman

Proceedings of the Computer Vision - ECCV 2020, 2020

Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool.

Konstantinos Rematas, Vittorio Ferrari

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

PhotoShape: photorealistic materials for large-scale shape collections.

Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steven M. Seitz

ACM Trans. Graph., 2018

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning.

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Deep Learning for Graphics.

Niloy J. Mitra, Tobias Ritschel, Iasonas Kokkinos, Paul Guerrero, Vladimir G. Kim, Konstantinos Rematas, Ersin Yumer

Proceedings of the 39th Annual Conference of the European Association for Computer Graphics, 2018

Soccer on Your Tabletop.

Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steven M. Seitz

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Novel Views of Objects from a Single Image.

Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars

IEEE Trans. Pattern Anal. Mach. Intell., 2017

What is Around the Camera?

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Novel View Synthesis using 3D Models ; Synthese van nieuwe gezichtspunten met behulp van 3D modellen.

Konstantinos Rematas

PhD thesis, 2016

Natural Illumination from Multiple Materials Using Deep Learning.

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool

CoRR, 2016

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination.

Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Luc Van Gool, Tinne Tuytelaars

CoRR, 2016

Deep Reflectance Maps.

Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Dataset fingerprints: Exploring image collections through data mining.

Konstantinos Rematas, Basura Fernando, Frank Dellaert, Tinne Tuytelaars

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Learning Like a Toddler: Watching Television Series to Learn Vocabulary from Images and Audio.

Emre Yilmaz, Konstantinos Rematas, Tinne Tuytelaars, Hugo Van hamme

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models.

Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image.

Konstantinos Rematas, Mario Fritz, Tinne Tuytelaars

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Efficient object detection and segmentation with a cascaded Hough Forest ISM.

Konstantinos Rematas, Bastian Leibe

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Level-set person segmentation and tracking with multi-region appearance models and top-down shape information.

Esther Horbert, Konstantinos Rematas, Bastian Leibe

Proceedings of the IEEE International Conference on Computer Vision, 2011

Multi-Class Image Labeling with Top-Down Segmentation and Generalized Robust $P^N$ Potentials.

Georgios Floros, Konstantinos Rematas, Bastian Leibe

Proceedings of the British Machine Vision Conference, 2011