Urs Bergmann

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations

Nov 29, 2021
Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, Andrea Tagliasacchi

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* Project website: https://srt-paper.github.io/

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Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

Feb 14, 2020
Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf

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Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages

Oct 16, 2019
Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim

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* To be presented at the NeurIPS 2019 workshop on Creativity and AI

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Set Flow: A Permutation Invariant Normalizing Flow

Sep 06, 2019
Kashif Rasul, Ingmar Schuster, Roland Vollgraf, Urs Bergmann

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Generating High-Resolution Fashion Model Images Wearing Custom Outfits

Aug 23, 2019
Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann

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* Accepted to the International Conference on Computer Vision, ICCV 2019, Workshop on Computer Vision for Fashion, Art and Design

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A Hierarchical Bayesian Model for Size Recommendation in Fashion

Aug 02, 2019
Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany

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* In: Proceedings of the 12th ACM Conference on Recommender Systems. ACM, 2018. S. 392-396

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A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce

Jul 23, 2019
Abdul-Saboor Sheikh, Romain Guigoures, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann

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* Published at the Thirteenth ACM Conference on Recommender Systems (RecSys '19), September 16--20, 2019, Copenhagen, Denmark

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A Bandit Framework for Optimal Selection of Reinforcement Learning Agents

Feb 10, 2019
Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann

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* Published at the 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montreal, Canada. Deep Reinforcement Learning Workshop

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Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization

Nov 22, 2018
Nikolay Jetchev, Urs Bergmann, Gokhan Yildirim

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* Accepted at the NIPS 2018 workshop on Machine Learning for Creativity and Design

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