Konstantinos Rematas

Research Associate

krematas at cs dot washington dot edu

I am a postdoctoral researcher in the GRAIL lab of University of Washington, working with Steve Seitz, Brian Curless and Ira Kemelmacher-Shlizerman. My current research interests are in the area of content generation for virtual and augmented reality. In particular I am looking into ways of capturing and visualizing real-life content in VR/AR headsets.

I finished my PhD in the Visics group of K.U. Leuven. My thesis focused on generating novel views of 2D objects with the guidance of 3D models. During my PhD, I also spent some time in the Graphics and Vision departments of MPI Informaticsc in Saarbrucken. Before going to Leuven, I attended the Media Informatics master program of RWTH Aachen University and University of Bonn in Germany. Even before, I did my Bachelor in Computer Science at the Aristotle University of Thessaloniki.

Publications

Soccer On Your Tabletop

K. Rematas, I. Kemelmacher-Shlizerman, B. Curless, S. Seitz
in Computer Vision and Pattern Recognition, 2018 (CVPR'18).
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What is around the camera?

S. Georgoulis, K. Rematas, T. Ritschel, M. Fritz, T. Tuytelaars and L. Van Gool
in International Conference on Computer Vision, 2017 (ICCV'17)
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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
to appear in Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
*denotes equal contribution
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Novel Views of Objects from a Single Image

K. Rematas, N. Chuong, T. Ritschel, M. Fritz, T. Tuytelaars
to appear in Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017.
Project     Bibtex

Deep Reflectance Maps

K. Rematas, T. Ritschel, M. Fritz, E. Gavves, T. Tuytelaars
in Computer Vision and Pattern Recognition, 2016 (CVPR'16).
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Dataset Fingerprints: Exploring Image Collections Through Data Mining

K. Rematas, B. Fernando, Frank Dellaert, T. Tuytelaars
in Computer Vision and Pattern Recognition, 2015 (CVPR'15).
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Image-based Synthesis and Re-Synthesis of Viewpoints Guided by 3D Models

K. Rematas, T. Ritschel, M Fritz, T. Tuytelaars
in Computer Vision and Pattern Recognition, 2014 (CVPR'14, oral).
Project     Bibtex

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

E. Yilmaz, K. Rematas, T. Tuytelaars, H. Van hamme
in ACM International Conference on Multimedia, 2014 (ACM MM'14).
Bibtex

Does Evolution cause a Domain Shift?

K. Rematas, B. Fernando, T. Tommasi, T. Tuytelaars
in ICCV '13 Workshop on Visual Domain Adaptation and Dataset Bias.
Bibtex

Kernel Density Topic Models: Visual Topics Without Visual Words

K. Rematas, M. Fritz, T. Tuytelaars
in NIPS '12 Workshop Modern Non-Parametric Methods in Machine Learning.
Bibtex

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

K. Rematas, M. Fritz, T. Tuytelaars
in Asian Conference in Computer Vision, 2012 (ACCV'12).
Bibtex

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

E. Horbert, K. Rematas, B. Leibe
in International Conference on Computer Vision, 2011 (ICCV'11).
Bibtex

Efficient Object Detection and Segmentation with a Cascaded Hough Forest ISM

K. Rematas, B. Leibe
in ICCV'11 Workshop on Challenges and Opportunities in Robot Perception (CORP'11).
Bibtex

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

G. Floros, K. Rematas, B. Leibe
in British Machine Vision Conference, 2011 (BMVC'11).
Bibtex