Konstantinos Rematas

34 papers A* 11A 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Differentiable Visual Computing for Inverse Problems and Machine Learning.
CoRR
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
2023 J jnl
Differentiable visual computing for inverse problems and machine learning.
Nat. Mac. Intell.
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
2022 A* conf
Urban Radiance Fields.
CVPR
Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari
2021 A* conf
From Points to Multi-Object 3D Reconstruction.
CVPR
Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari
2021 J jnl
ShaRF: Shape-conditioned Radiance Fields from a Single View.
CoRR
Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari
2021 A* conf
Sharf: Shape-conditioned Radiance Fields from a Single View.
ICML
Konstantinos Rematas, Ricardo Martin-Brualla, Vittorio Ferrari
2021 — conf
TensorFlow graphics: differentiable computer graphics in tensorflow.
SIGGRAPH Courses
Cengiz Öztireli, Christian Häne, Forrester Cole, Konstantinos Rematas, Sofien Bouaziz
2021 J jnl
Urban Radiance Fields.
CoRR
Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari
2020 J jnl
From Points to Multi-Object 3D Reconstruction.
CoRR
Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari
2020 A* conf
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool.
CVPR
Konstantinos Rematas, Vittorio Ferrari
2020 — conf
Reconstructing NBA Players.
ECCV (5)
Luyang Zhu, Konstantinos Rematas, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman
2020 J jnl
Reconstructing NBA Players.
CoRR
Luyang Zhu, Konstantinos Rematas, Brian Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman
2019 J jnl
Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool.
CoRR
Konstantinos Rematas, Vittorio Ferrari
2018 — conf
Deep Learning for Graphics.
Eurographics (Tutorials)
Niloy J. Mitra, Tobias Ritschel, Iasonas Kokkinos, Paul Guerrero, Vladimir G. Kim, Konstantinos Rematas, Ersin Yumer
2018 J jnl
PhotoShape: Photorealistic Materials for Large-Scale Shape Collections.
CoRR
Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steven M. Seitz
2018 J jnl
PhotoShape: photorealistic materials for large-scale shape collections.
ACM Trans. Graph.
Keunhong Park, Konstantinos Rematas, Ali Farhadi, Steven M. Seitz
2018 J jnl
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars
2018 A* conf
Soccer on Your Tabletop.
CVPR
Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steven M. Seitz
2018 J jnl
Soccer on Your Tabletop.
CoRR
Konstantinos Rematas, Ira Kemelmacher-Shlizerman, Brian Curless, Steven M. Seitz
2017 J jnl
Novel Views of Objects from a Single Image.
IEEE Trans. Pattern Anal. Mach. Intell.
Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars
2017 A* conf
What is Around the Camera?
ICCV
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool
2016 J jnl
DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination.
CoRR
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Luc Van Gool, Tinne Tuytelaars
2016 A* conf
Deep Reflectance Maps.
CVPR
Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars
2016 J jnl
Natural Illumination from Multiple Materials Using Deep Learning.
CoRR
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool
2016 — —
Novel View Synthesis using 3D Models ; Synthese van nieuwe gezichtspunten met behulp van 3D modellen.
Konstantinos Rematas
2016 J jnl
Novel Views of Objects from a Single Image.
CoRR
Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars
2015 A* conf
Dataset fingerprints: Exploring image collections through data mining.
CVPR
Konstantinos Rematas, Basura Fernando, Frank Dellaert, Tinne Tuytelaars
2015 J jnl
Deep Reflectance Maps.
CoRR
Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars
2014 A* conf
Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models.
CVPR
Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars
2014 A* conf
Learning Like a Toddler: Watching Television Series to Learn Vocabulary from Images and Audio.
ACM Multimedia
Emre Yilmaz, Konstantinos Rematas, Tinne Tuytelaars, Hugo Van hamme
2012 — conf
The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image.
ACCV (1)
Konstantinos Rematas, Mario Fritz, Tinne Tuytelaars
2011 — conf
Efficient object detection and segmentation with a cascaded Hough Forest ISM.
ICCV Workshops
Konstantinos Rematas, Bastian Leibe
2011 A* conf
Level-set person segmentation and tracking with multi-region appearance models and top-down shape information.
ICCV
Esther Horbert, Konstantinos Rematas, Bastian Leibe
2011 A conf
Multi-Class Image Labeling with Top-Down Segmentation and Generalized Robust $P^N$ Potentials.
BMVC
Georgios Floros, Konstantinos Rematas, Bastian Leibe