Konstantinos Rematas

I am a senior research scientist at Google Research, where I work on computer vision and graphics. I did my postdoc at University of Washington and my PhD at KU Leuven. I am interested in neural 3D reconstruction and rendering.


Urban Radiance Fields

Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Tom Funkhouser, Vittorio Ferrari
CVPR 2022
Paper Project Bibtex

Sharf: Shape-conditioned Radiance Fields from a Single View

Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari
ICML 2021
Paper Project Bibtex

From Points to Multi-Object 3D Reconstruction

Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari
CVPR 2021
Paper Project Code Bibtex

Reconstructing NBA players

Luyang Zhu, Konstantinos Rematas, Brian Curless, Steve Seitz, Ira Kemelmacher-Shlizerman
ECCV 2020
Paper Project Code Bibtex

Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool

Konstantinos Rematas, Vittorio Ferrari
CVPR 2020
Paper Project Code Bibtex

PhotoShape: Photorealistic Materials for Large-Scale Shape Collections

Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steve Seitz
SIGGRAPH Asia 2018
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Soccer On Your Tabletop

Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steve Seitz
CVPR 2018
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What is around the camera?

S. Georgoulis, K. Rematas, T. Ritschel, M. Fritz, T. Tuytelaars and L. Van Gool
ICCV 2017
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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 and T. Tuytelaars
TPAMI 2017
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Novel Views of Objects from a Single Image

K. Rematas, N. Chuong, T. Ritschel, M. Fritz, T. Tuytelaars
TPAMI 2017
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Deep Reflectance Maps

K. Rematas, T. Ritschel, M. Fritz, E. Gavves, T. Tuytelaars
CVPR 2016
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Dataset Fingerprints: Exploring Image Collections Through Data Mining

K. Rematas, B. Fernando, Frank Dellaert, T. Tuytelaars
CVPR 2015

Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models

K. Rematas, T. Ritschel, M Fritz, T. Tuytelaars
CVPR 2014 (oral)
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Learning Like a Toddler: Watching Television Series to Learn Vocabulary from Images and Audio

E. Yilmaz, K. Rematas, T. Tuytelaars, H. Van hamme
ACM-MM 2014

Does Evolution cause a Domain Shift?

K. Rematas, B. Fernando, T. Tommasi, T. Tuytelaars
ICCV Workshop 2013

Kernel Density Topic Models: Visual Topics Without Visual Words

K. Rematas, M. Fritz, T. Tuytelaars
NeurIPS Workshop 2012

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

K. Rematas, M. Fritz, T. Tuytelaars
ACCV 2012

Level-Set Person Segmentation and Tracking with Multi-Region Appearance Models and Top-Down Shape Information

E. Horbert, K. Rematas, B. Leibe
ICCV 2011

Efficient Object Detection and Segmentation with a Cascaded Hough Forest ISM

K. Rematas, B. Leibe
ICCV Workshop 2011

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

G. Floros, K. Rematas, B. Leibe
BMVC 2011