Multi-Class Image Labeling with Top-Down Segmentation and Generalized Robust $P^N$ Potentials. - Georgios Floros 003; Konstantinos Rematas; Bastian Leibe (BMVC, 2011)

Level-set person segmentation and tracking with multi-region appearance models and top-down shape information. - Esther Horbert; Konstantinos Rematas; Bastian Leibe (ICCV, 2011)

Efficient object detection and segmentation with a cascaded Hough Forest ISM. - Konstantinos Rematas; Bastian Leibe (ICCV Workshops, 2011)

The Pooled NBNN Kernel: Beyond Image-to-Class and Image-to-Image. - Konstantinos Rematas; Mario Fritz; Tinne Tuytelaars (ACCV (1), 2012)

Image-Based Synthesis and Re-synthesis of Viewpoints Guided by 3D Models. - Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Tinne Tuytelaars (CVPR, 2014)

Learning Like a Toddler: Watching Television Series to Learn Vocabulary from Images and Audio. - Emre Yilmaz 001; Konstantinos Rematas; Tinne Tuytelaars; Hugo Van hamme (ACM Multimedia, 2014)

Dataset fingerprints: Exploring image collections through data mining. - Konstantinos Rematas; Basura Fernando; Frank Dellaert; Tinne Tuytelaars (CVPR, 2015)

Deep Reflectance Maps. - Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars (CVPR, 2016)

DeLight-Net: Decomposing Reflectance Maps into Specular Materials and Natural Illumination. - Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Luc Van Gool; Tinne Tuytelaars (CoRR, 2016)

Natural Illumination from Multiple Materials Using Deep Learning. - Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Tinne Tuytelaars; Luc Van Gool (CoRR, 2016)

Novel View Synthesis using 3D Models ; Synthese van nieuwe gezichtspunten met behulp van 3D modellen. - Konstantinos Rematas (2016)

What is Around the Camera? - Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Tinne Tuytelaars; Luc Van Gool (ICCV, 2017)

Novel Views of Objects from a Single Image. - Konstantinos Rematas; Chuong H. Nguyen; Tobias Ritschel 001; Mario Fritz; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Soccer on Your Tabletop. - Konstantinos Rematas; Ira Kemelmacher-Shlizerman; Brian Curless; Steven M. Seitz (CVPR, 2018)

Deep Learning for Graphics. - Niloy J. Mitra; Tobias Ritschel 001; Iasonas Kokkinos; Paul Guerrero 001; Vladimir G. Kim; Konstantinos Rematas; Ersin Yumer (Eurographics (Tutorials), 2018)

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. - Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel 001; Efstratios Gavves; Mario Fritz; Luc Van Gool; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

PhotoShape: photorealistic materials for large-scale shape collections. - Keunhong Park; Konstantinos Rematas; Ali Farhadi; Steven M. Seitz (ACM Trans. Graph., 2018)

Neural Voxel Renderer: Learning an Accurate and Controllable Rendering Tool. - Konstantinos Rematas; Vittorio Ferrari (CVPR, 2020)

Reconstructing NBA Players. - Luyang Zhu; Konstantinos Rematas; Brian Curless; Steven M. Seitz; Ira Kemelmacher-Shlizerman (ECCV (5), 2020)

From Points to Multi-Object 3D Reconstruction. - Francis Engelmann; Konstantinos Rematas; Bastian Leibe; Vittorio Ferrari (CVPR, 2021)

Sharf: Shape-conditioned Radiance Fields from a Single View. - Konstantinos Rematas; Ricardo Martin-Brualla; Vittorio Ferrari (ICML, 2021)

TensorFlow graphics: differentiable computer graphics in tensorflow. - Cengiz Öztireli; Christian Häne; Forrester Cole; Konstantinos Rematas; Sofien Bouaziz (SIGGRAPH Courses, 2021)

Urban Radiance Fields. - Konstantinos Rematas; Andrew Liu 001; Pratul P. Srinivasan; Jonathan T. Barron; Andrea Tagliasacchi; Thomas A. Funkhouser; Vittorio Ferrari (CVPR, 2022)

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., 2023)