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Adam Kortylewski
Adam Kortylewski
Research Group Leader, University of Freiburg and Max Planck Institute for Informatics
Verified email at mpi-inf.mpg.de - Homepage
Title
Cited by
Cited by
Year
3d morphable face models—past, present, and future
B Egger, WAP Smith, A Tewari, S Wuhrer, M Zollhoefer, T Beeler, ...
ACM Transactions on Graphics (TOG) 39 (5), 1-38, 2020
2112020
TransFG: A Transformer Architecture for Fine-grained Recognition
J He, JN Chen, S Liu, A Kortylewski, C Yang, Y Bai, C Wang, A Yuille
Proceedings of the AAAI Conference on Artificial Intelligence 36, 2022
1032022
Analyzing and reducing the damage of dataset bias to face recognition with synthetic data
A Kortylewski, B Egger, A Schneider, T Gerig, A Morel-Forster, T Vetter
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
752019
Occlusion-aware 3d morphable models and an illumination prior for face image analysis
B Egger, S Schönborn, A Schneider, A Kortylewski, A Morel-Forster, ...
International Journal of Computer Vision 126 (12), 1269-1287, 2018
632018
Empirically analyzing the effect of dataset biases on deep face recognition systems
A Kortylewski, B Egger, A Schneider, T Gerig, A Morel-Forster, T Vetter
Proceedings of the IEEE conference on computer vision and pattern …, 2018
562018
Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
A Kortylewski, J He, Q Liu, A Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020
532020
Training deep face recognition systems with synthetic data
A Kortylewski, A Schneider, T Gerig, B Egger, A Morel-Forster, T Vetter
arXiv preprint arXiv:1802.05891, 2018
522018
Robust Object Detection under Occlusion with Context-Aware CompositionalNets
A Wang, Y Sun, A Kortylewski, A Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020
482020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
C Yang, A Kortylewski, C Xie, Y Cao, A Yuille
Proceedings of the European Conference on Computer Vision (ECCV), 2020
472020
Unsupervised footwear impression analysis and retrieval from crime scene data
A Kortylewski, T Albrecht, T Vetter
Asian Conference on Computer Vision, 644-658, 2014
432014
Combining compositional models and deep networks for robust object classification under occlusion
A Kortylewski, Q Liu, H Wang, Z Zhang, A Yuille
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
422020
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
J Mu, W Qiu, A Kortylewski, A Yuille, N Vasconcelos, X Wang
Proceedings of the IEEE International Conference on Computer Vision, 2021
362021
Compositional convolutional neural networks: A robust and interpretable model for object recognition under occlusion
A Kortylewski, Q Liu, A Wang, Y Sun, A Yuille
International Journal of Computer Vision 129 (3), 736-760, 2020
362020
Probabilistic Compositional Active Basis Models for Robust Pattern Recognition.
A Kortylewski, T Vetter
British Machine Vision Conference, 2016
292016
SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding
I Demir, C Hahn, K Leonard, G Morin, D Rahbani, A Panotopoulou, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
252019
Multimodal image synthesis and editing: A survey
F Zhan, Y Yu, R Wu, J Zhang, S Lu, L Liu, A Kortylewski, C Theobalt, ...
arXiv preprint arXiv:2112.13592, 2022
232022
Model-based image analysis for forensic shoe print recognition
A Kortylewski
University_of_Basel, 2017
232017
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
A Wang, A Kortylewski, A Yuille
International Conference on Learning Representations (ICLR), 2021, 2021
192021
Tdmpnet: Prototype network with recurrent top-down modulation for robust object classification under partial occlusion
M Xiao, A Kortylewski, R Wu, S Qiao, W Shen, A Yuille
European Conference on Computer Vision, 447-463, 2020
192020
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
P Kaushik, A Gain, A Kortylewski, A Yuille
Advances in Neural Information Processing Systems, MetaLearn Workshop, 2021
172021
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