Adam Kortylewski

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Alan YuilleProfessor of Cognitive Science and Computer Science, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityDirección de correo verificada de mpi-inf.mpg.de
Angtian WangJohns Hopkins UniversityDirección de correo verificada de jhu.edu
Thomas VetterEmeritus Professor in Computer Science, University of BaselDirección de correo verificada de unibas.ch
Bernhard EggerProfessor, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)Dirección de correo verificada de fau.de
Ju HeResearch Scientist, ByteDance / TikTokDirección de correo verificada de bytedance.com
Fangneng ZhanHarvard University & MITDirección de correo verificada de seas.harvard.edu
Ayush TewariMITDirección de correo verificada de mit.edu
Florian BernardProfessor, University of BonnDirección de correo verificada de uni-bonn.de
Chenglin YangJohns Hopkins UniversityDirección de correo verificada de jhu.edu
Stefanie WuhrerINRIA Grenoble Rhone-AlpesDirección de correo verificada de inria.fr
Timo BolkartGoogleDirección de correo verificada de google.com
Volker BlanzProfessor of Computer Science, Universitaet SiegenDirección de correo verificada de informatik.uni-siegen.de
Michael ZollhoeferDirector, Research Scientist, Reality Labs Research, MetaDirección de correo verificada de meta.com
William A. P. SmithProfessor, Department of Computer Science, University of YorkDirección de correo verificada de york.ac.uk
Cihang XieAssistant Professor, University of California, Santa CruzDirección de correo verificada de ucsc.edu
Huiyu WangResearch Scientist, FAIR, MetaDirección de correo verificada de fb.com
Wei Shen (沈为)Professor, Shanghai Jiao Tong UniversityDirección de correo verificada de sjtu.edu.cn
Sonali ParbhooAssistant Professor, Imperial College LondonDirección de correo verificada de imperial.ac.uk

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Adam Kortylewski

Research Group Leader, University of Freiburg and Max Planck Institute for Informatics

Dirección de correo verificada de cs.uni-freiburg.de - Página principal

Generative AI Visual Computing Machine Learning AI Safety


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	480	2022
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	466	2020
Multimodal Image Synthesis and Editing: The Generative AI Era F Zhan, Y Yu, R Wu, J Zhang, S Lu, L Liu, A Kortylewski, C Theobalt, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023	301*	2023
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	167	2019
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	151	2020
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	123	2020
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	116	2020
PartImageNet: A large, high-quality dataset of parts J He, S Yang, S Yang, A Kortylewski, X Yuan, JN Chen, S Liu, C Yang, ... Proceedings of the European Conference on Computer Vision (ECCV), 2022	114	2022
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	110	2021
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	103	2020
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	96*	2018
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, 1269-1287, 2018	94	2018
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	83	2018
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	79	2020
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	77	2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images B Zhao, S Yu, W Ma, M Yu, S Mei, A Wang, J He, A Yuille, A Kortylewski Proceedings of the European Conference on Computer Vision (ECCV), 2022	69*	2022
SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering V Gupta, Z Li, A Kortylewski, C Zhang, Y Li, A Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2022	61	2022
General Neural Gauge Fields F Zhan, L Liu, A Kortylewski, C Theobalt International Conference on Learning Representations (ICLR), 2023, 2023	59	2023
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning Z Li, X Wang, E Stengel-Eskin, A Kortylewski, W Ma, B Van Durme, ... Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2023	56	2023
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion X Yuan, A Kortylewski, Y Sun, A Yuille Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020	56	2020

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