Adam Kortylewski

发表

Unsupervised Footwear Impression Analysis and Retrieval from Crime Scene Data

Thomas Vetter, Adam Kortylewski, Thomas Albrecht, 2014, ACCV Workshops.

Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks pdf

Alan Yuille, Adam Kortylewski, Christian Cosgrove, 2020, ArXiv.

Localizing Occluders with Compositional Convolutional Networks

Alan L. Yuille, Zhishuai Zhang, Adam Kortylewski, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Compositional Convolutional Networks For Robust Object Classification under Occlusion pdf

Alan Yuille, Zhishuai Zhang, Adam Kortylewski, 2019, ArXiv.

Weakly-Supervised Amodal Instance Segmentation with Compositional Priors pdf

Alan Yuille, Adam Kortylewski, Yihong Sun, 2020, ArXiv.

3D Morphable Face Models—Past, Present, and Future

Thabo Beeler, Sami Romdhani, Bernhard Egger, 2020, ACM Trans. Graph..

Model-based image analysis for forensic shoe print recognition

Adam Kortylewski, Adam Kortylewski, 2017 .

Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion

Alan Yuille, Zhishuai Zhang, Adam Kortylewski, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Probabilistic Compositional Active Basis Models for Robust Pattern Recognition

Thomas Vetter, Adam Kortylewski, 2016, BMVC.

PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning pdf

Alan Yuille, Yinzhi Cao, Adam Kortylewski, 2020, ECCV.

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance pdf

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018, ArXiv.

Robust Object Detection Under Occlusion With Context-Aware CompositionalNets

Alan Yuille, Adam Kortylewski, Yihong Sun, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Occlusion-Aware 3D Morphable Models and an Illumination Prior for Face Image Analysis

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018, International Journal of Computer Vision.

Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion

Qing Liu, Alan Yuille, Adam Kortylewski, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Informed MCMC with Bayesian Neural Networks for Facial Image Analysis pdf

Adam Kortylewski, Volker Roth, Andreas Morel-Forster, 2018, ArXiv.

CoKe: Localized Contrastive Learning for Robust Keypoint Detection pdf

Alan Yuille, Adam Kortylewski, Yutong Bai, 2020, ArXiv.

TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion pdf

Wei Shen, Alan Yuille, Mingqing Xiao, 2020, ECCV Workshops.

Compositional Convolutional Neural Networks: A Robust and Interpretable Model for Object Recognition Under Occlusion pdf

Alan Yuille, Adam Kortylewski, Qing Liu, 2020, International Journal of Computer Vision.

SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding

Adam Kortylewski, Géraldine Morin, Kathryn Leonard, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Training Deep Face Recognition Systems with Synthetic Data pdf

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018, ArXiv.

Greedy Compositional Clustering for Unsupervised Learning of Hierarchical Compositional Models pdf

Thomas Vetter, Adam Kortylewski, Clemens Blumer, 2017, ArXiv.

Greedy Structure Learning of Hierarchical Compositional Models

Adam Kortylewski, Volker Roth, Andreas Morel-Forster, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Robust Instance Segmentation through Reasoning about Multi-Object Occlusion pdf

Alan Yuille, Adam Kortylewski, Xiaoding Yuan, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised Part Discovery via Feature Alignment pdf

Alan Yuille, Adam Kortylewski, Mengqi Guo, 2020, ArXiv.

Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection

Bernhard Egger, Adam Kortylewski, Andreas Schneider, 2018 .

COMPAS: Representation Learning with Compositional Part Sharing for Few-Shot Classification pdf

Alan Yuille, Adam Kortylewski, Ju He, 2021, ArXiv.

Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose pdf

Alan Yuille, Adam Kortylewski, Angtian Wang, 2021, NeurIPS.

NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation pdf

Alan Yuille, Adam Kortylewski, Angtian Wang, 2021, ICLR.

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms pdf

Alan Yuille, Siyuan Qiao, Adam Kortylewski, 2021, ArXiv.

To fit or not to fit: Model-based Face Reconstruction and Occlusion Segmentation from Weak Supervision pdf

Thomas Vetter, Adam Kortylewski, Andreas Morel-Forster, 2021, ArXiv.

Compositional Generative Networks and Robustness to Perceptible Image Changes

Alan L. Yuille, Adam Kortylewski, Christian Cosgrove, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation pdf

Nuno Vasconcelos, Weichao Qiu, Alan Yuille, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping pdf

Alan Yuille, Adam Kortylewski, Alex Gain, 2021, ArXiv.

Simulated Adversarial Testing of Face Recognition Models pdf

Weichao Qiu, Alan Yuille, Stan Sclaroff, 2021, ArXiv.

Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms

Alan Yuille, Siyuan Qiao, Adam Kortylewski, 2021, 2107.05637.

Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning pdf

Alan Yuille, Adam Kortylewski, Changhu Wang, 2021, ArXiv.

CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models pdf

Weichao Qiu, Alan Yuille, Adam Kortylewski, 2021, ArXiv.

A Light-weight Interpretable CompositionalNetwork for Nuclei Detection and Weakly-supervised Segmentation pdf

Alan Yuille, Adam Kortylewski, Qing Liu, 2021, ArXiv.

TransFG: A Transformer Architecture for Fine-grained Recognition pdf

Alan Yuille, Adam Kortylewski, Changhu Wang, 2021, AAAI.

PartImageNet: A Large, High-Quality Dataset of Parts pdf

Alan Yuille, Adam Kortylewski, Shuo Yang, 2021, ArXiv.

ROBIN : A Benchmark for Robustness to Individual Nuisances in Real-World Out-of-Distribution Shifts

Alan Yuille, Adam Kortylewski, Shaozuo Yu, 2021 .