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Jan Svoboda

3 accepted papers

2020

Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer

CVPR 2020poster

This paper introduces a neural style transfer model to generate a stylized image conditioning on a set of examples describing the desired style. The proposed solution produces high-quality images even in the zero-shot setting and allows for more freedom in changes to the content geometry. This is ma…

Cited by 97PDFScholar
2019

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks

ICLR 2019poster

Deep learning systems have become ubiquitous in many aspects of our lives. Unfortunately, it has been shown that such systems are vulnerable to adversarial attacks, making them prone to potential unlawful uses. Designing deep neural networks that are robust to adversarial attacks is a fundamental s…

Cited by 0SourcePDFScholar
2017

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs

CVPR 2017oral

Deep learning has achieved a remarkable performance breakthrough in several fields, most notably in speech recognition, natural language processing, and computer vision. In particular, convolutional neural network (CNN) architectures currently produce state-of-the-art performance on a variety of ima…

Cited by 2443PDFScholar