2022



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
Robust Category-Level 6D Pose Estimation with Coarse-to-Fine Rendering of Neural Features
Wufei Ma, Angtian Wang, Alan Yuille, Adam Kortylewski
Proceedings of the European Conference on Computer Vision (ECCV) 2022
PartImageNet: A Large, High-Quality Dataset of Parts
Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Alan Yuille
Proceedings of the European Conference on Computer Vision (ECCV) 2022
Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model
Yihong Sun, Adam Kortylewski, Alan Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
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
Simulated Adversarial Testing of Face Recognition Models
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan Yuille, Stan Sclaroff
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
SwapMix: Diagnosing and Regularizing the Over-reliance on Visual Context in Visual Question Answering
Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
TransFG: A Transformer Architecture for Fine-grained Recognition
Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2022

2021



Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Angtian Wang, Shenxiao Mei, Alan Yuille, Adam Kortylewski
Advances in Neural Information Processing Systems (NeurIPS) 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation
Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan Yuille, Nuno Vasconcelos, Xiaolong Wang
Proceedings of the IEEE International Conference on Computer Vision (ICCV) 2021
Robust Instance Segmentation through Reasoning about Multi-Object Occlusion
Xiaoding Yuan, Adam Kortylewski, Alan Yuille
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation
Angtian Wang, Adam Kortylewski, Alan Yuille
International Conference on Learning Representations (ICLR) 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
Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition under Occlusion
Adam Kortylewski, Qing Liu, Angtian Wang, Yihong Sun, Alan Yuille
International Journal of Computer Vision (IJCV) 2021

2020



PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning
Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille
Proceedings of the European Conference on Computer Vision (ECCV) 2020
Robust Object Detection under Occlusion with Context-Aware CompositionalNets
Angtian Wang, Yihong Sun, Adam Kortylewski(*), Alan Yuille(*)
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 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
compnet
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)
tdapnet
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
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compnet
Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion
Adam Kortylewski, Qing Liu, Huiyu Wang, Zhishuai Zhang, Alan Yuille.
IEEE Winter Conference on Applications of Computer Vision (WACV) 2020.
Spotlight

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
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greedy
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
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skelneton
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
skelneton
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


2018 & before



bnn
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis
Adam Kortylewski, Mario Wieser, Andreas Morel-Forster, Aleksander Wieczorek, Sonali Parbhoo, Volker Roth, Thomas Vetter.
NeurIPS 2018 - Bayesian Deep Learning Workshop
FaceRecognition
Training Deep Face Recognition Systems with Synthetic Data
Adam Kortylewski, Andreas Schneider, Thomas Gerig, Bernhard Egger, Andreas Morel-Forster, Thomas Vetter.
Technical Report, arXiv, 2018
occlusion_3dmm
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
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GeneralizationOfFaceRecognition
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
PDF
Dissertation
Model-based Image Analysis for Forensic Shoe Print Recognition
Adam Kortylewski.
PhD Thesis, 2017
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CABM
Probabilistic Compositional Active Basis Models for Robust Pattern Recognition
Adam Kortylewski and Thomas Vetter.
BMVC 2016
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Shoe Analysis
Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data
Adam Kortylewski, Thomas Albrecht and Thomas Vetter.
ACCV 2014 Workshops.
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