Items where contributor is "Kortylewski, Adam"

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Kortylewski, Adam and Wieczorek, Aleksander and Wieser, Mario and Blumer, Clemens and Parbhoo, Sonali and Morel-Forster, Andreas and Roth, Volker and Vetter, Thomas. (2019) Greedy Structure Learning of Hierarchical Compositional Models. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 11612-11621.

Kortylewski, Adam and Egger, Bernhard and Schneider, Andreas and Gerig, Thomas and Morel-Forster, Andreas and Vetter, Thomas. (2019) Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. In: CVPR-2019-Workshop: Bias Estimation in Face Analytics (BEFA).

Egger, Bernhard and Schönborn, Sandro and Schneider, Andreas and Kortylewski, Adam and Morel-Forster, Andreas and Blumer, Clemens and Vetter, Thomas. (2018) Occlusion-aware 3D Morphable Models and an Illumination Prior for Face Image Analysis. International Journal of Computer Vision, 126 (12). pp. 1269-1287.

Kortylewski, Adam and Egger, Bernhard and Schneider, Andreas and Gerig, Thomas and Morel-Forster, Andreas and Vetter, Thomas. (2018) Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPR). pp. 2206-2215.

Kortylewski, Adam and Wieser, Mario and Morel-Forster, Andreas and Wieczorek, Aleksander and Parbhoo, Sonali and Roth, Volker and Vetter, Thomas. (2018) Informed MCMC with Bayesian Neural Networks for Facial Image Analysis. In: NeurIPS 2018, Bayesian Deep Learning Workshop. pp. 1-4.

Kortylewski, Adam. Model-based image analysis for forensic shoe print recognition. 2017, Doctoral Thesis, University of Basel, Faculty of Science.

Kortylewski, Adam and Vetter, Thomas. (2016) Probabilistic Compositional Active Basis Models for Robust Pattern Recognition. In: British Machine Vision Conference (BMVC), September 2016. Guildford.

Kortylewski, Adam and Albrecht, Thomas and Vetter, Thomas. (2015) Unsupervised footwear impression analysis and retrieval from crime scene data. In: Computer Vision - ACCV 2014 : 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014 ; revised selected papers, Vol. 1. Cham, pp. 644-658.