2023


Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
Zhuowan Li, Xingrui Wang, Wufei Ma, Elias Stengel-Eskin, Adam Kortylewski, Benjamin Van Durme, Alan Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Selected as highlight (top 2.5%)
Zhuowan Li, Xingrui Wang, Wufei Ma, Elias Stengel-Eskin, Adam Kortylewski, Benjamin Van Durme, Alan Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2023
Selected as highlight (top 2.5%)


General Neural Gauge Fields
Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt
International Conference on Learning Representations (ICLR), 2023
Fangneng Zhan, Lingjie Liu, Adam Kortylewski, Christian Theobalt
International Conference on Learning Representations (ICLR), 2023



State of the Art in Dense Monocular Non-Rigid 3D Reconstruction
Edith Tretschk, Navami Kairanda, Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik
The 44th Annual Conference of the European Association for Computer Graphics (EUROGRAPHICS), 2023
Edith Tretschk, Navami Kairanda, Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik
The 44th Annual Conference of the European Association for Computer Graphics (EUROGRAPHICS), 2023


2022

HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow
Jiayi Wang, Diogo Luvizon, Franziska Mueller, Florian Bernard, Adam Kortylewski, Dan Casas, Christian Theobalt
International Symposium on Vision, Modeling, and Visualization (VMV) 2022
Best Paper Honorable Mention
Jiayi Wang, Diogo Luvizon, Franziska Mueller, Florian Bernard, Adam Kortylewski, Dan Casas, Christian Theobalt
International Symposium on Vision, Modeling, and Visualization (VMV) 2022
Best Paper Honorable Mention

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski
Proceedings of the European Conference on Computer Vision (ECCV) 2022
Selected as Oral (top 3%)
Bingchen Zhao, Shaozuo Yu, Wufei Ma, Mingxin Yu, Shenxiao Mei, Angtian Wang, Ju He, Alan Yuille, Adam Kortylewski
Proceedings of the European Conference on Computer Vision (ECCV) 2022
Selected as Oral (top 3%)





Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Selected as Oral
Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Selected as Oral



2021





Compositional Generative Networks and Robustness to Perceptible Image Changes
Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan Yuille
55th Annual Conference on Information Sciences and Systems (CISS) 2021
Adam Kortylewski, Ju He, Qing Liu, Christian Cosgrove, Chenglin Yang, Alan Yuille
55th Annual Conference on Information Sciences and Systems (CISS) 2021

2020



Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Adam Kortylewski, Ju He, Qing Liu, Alan Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020
Adam Kortylewski, Ju He, Qing Liu, Alan Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020

3D Morphable Face Models - Past, Present and Future
Bernhard Egger, William A.P Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhoefer, Thabo Beeler, Florian Bernhard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter.
ACM Transactions on Graphics (TOG)
Bernhard Egger, William A.P Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhoefer, Thabo Beeler, Florian Bernhard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, Thomas Vetter.
ACM Transactions on Graphics (TOG)

TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion
Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan Yuille.
ECCV 2020 Workshop on Visual Inductive Priors for Data-Efficient Deep Learning
Mingqing Xiao, Adam Kortylewski, Ruihai Wu, Siyuan Qiao, Wei Shen, Alan Yuille.
ECCV 2020 Workshop on Visual Inductive Priors for Data-Efficient Deep Learning

2019

Localizing Occluders with Compositional Convolutional Networks
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan Yuille
Advances in Neural Information Processing Systems 2019, Context and Compositionality in Biological and Artificial Neural Systems Workshop.
IEEE International Conference on Computer Vision (ICCV) 2019, Neural Architects Workshop
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan Yuille
Advances in Neural Information Processing Systems 2019, Context and Compositionality in Biological and Artificial Neural Systems Workshop.
IEEE International Conference on Computer Vision (ICCV) 2019, Neural Architects Workshop

Greedy Structure Learning of Hierarchical Compositional Models
Adam Kortylewski, Clemens Blumer, Aleksander Wieczorek, Mario Wieser, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Adam Kortylewski, Clemens Blumer, Aleksander Wieczorek, Mario Wieser, Sonali Parbhoo, Andreas Morel-Forster, Volker Roth, Thomas Vetter.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019

Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2019
2nd Workshop on Bias Estimation in Face Analytics (BEFA)
Oral, Best Paper
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas Vetter.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2019
2nd Workshop on Bias Estimation in Face Analytics (BEFA)
Oral, Best Paper

SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding
Ilke Demir, Camilla Hahn, Kathryn Leonard, Geraldine Morin, Dana Rahbani, Athina Panotopoulou, Amelie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2019
Deep Learning for Geometric Shape Understanding Workshop
Ilke Demir, Camilla Hahn, Kathryn Leonard, Geraldine Morin, Dana Rahbani, Athina Panotopoulou, Amelie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2019
Deep Learning for Geometric Shape Understanding Workshop
2018 & before



Occlusion-aware 3D Morphable Models and an Illumination Prior for Face Image Analysis
Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer and Thomas Vetter.
International Journal of Computer Vision (IJCV), 2018
Bernhard Egger, Sandro Schönborn, Andreas Schneider, Adam Kortylewski, Andreas Morel-Forster, Clemens Blumer and Thomas Vetter.
International Journal of Computer Vision (IJCV), 2018

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Forster, Thomas Vetter.
CVPR 2018 - 8th Workshop on Analysis and Modeling of Faces and Gestures (AMFG)
Oral
Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Forster, Thomas Vetter.
CVPR 2018 - 8th Workshop on Analysis and Modeling of Faces and Gestures (AMFG)
Oral

Model-based Image Analysis for Forensic Shoe Print Recognition
Adam Kortylewski.
PhD Thesis, 2017
Adam Kortylewski.
PhD Thesis, 2017

Probabilistic Compositional Active Basis Models for Robust Pattern Recognition
Adam Kortylewski and Thomas Vetter.
BMVC 2016
Adam Kortylewski and Thomas Vetter.
BMVC 2016

Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data
Adam Kortylewski, Thomas Albrecht and Thomas Vetter.
ACCV 2014 Workshops.
Adam Kortylewski, Thomas Albrecht and Thomas Vetter.
ACCV 2014 Workshops.