Urs Bergmann

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 25

Top Topics

Hierarchical Bayesian

Texture Synthesis

Scene Representation

Top Venues

Publications

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 A. Funkhouser, Andrea Tagliasacchi
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CVPR (2022)
Michiel W. H. Remme, Urs Bergmann, Denis Alevi, Susanne Schreiber, Henning Sprekeler, Richard Kempter
Hebbian plasticity in parallel synaptic pathways: A circuit mechanism for systems memory consolidation. PLoS Comput. Biol. 17 (12) (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 A. Funkhouser, Andrea Tagliasacchi
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. CoRR (2021)
Julia Lasserre, Abdul-Saboor Sheikh, Evgenii Koriagin, Urs Bergmann, Roland Vollgraf, Reza Shirvany
Meta-Learning for Size and Fit Recommendation in Fashion. SDM (2020)
Kashif Rasul, Abdul-Saboor Sheikh, Ingmar Schuster, Urs Bergmann, Roland Vollgraf
Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows. CoRR (2020)
Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany
A Hierarchical Bayesian Model for Size Recommendation in Fashion. CoRR (2019)
Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann
Generating High-Resolution Fashion Model Images Wearing Custom Outfits. ICCV Workshops (2019)
Andreas Merentitis, Kashif Rasul, Roland Vollgraf, Abdul-Saboor Sheikh, Urs Bergmann
A Bandit Framework for Optimal Selection of Reinforcement Learning Agents. CoRR (2019)
Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann
A deep learning system for predicting size and fit in fashion e-commerce. RecSys (2019)
Abdul-Saboor Sheikh, Romain Guigourès, Evgenii Koriagin, Yuen King Ho, Reza Shirvany, Roland Vollgraf, Urs Bergmann
A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce. CoRR (2019)
Gökhan Yildirim, Nikolay Jetchev, Roland Vollgraf, Urs Bergmann
Generating High-Resolution Fashion Model Images Wearing Custom Outfits. CoRR (2019)
Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim
Transform the Set: Memory Attentive Generation of Guided and Unguided Image Collages. CoRR (2019)
Kashif Rasul, Ingmar Schuster, Roland Vollgraf, Urs Bergmann
Set Flow: A Permutation Invariant Normalizing Flow. CoRR (2019)
Nikolay Jetchev, Urs Bergmann, Gökhan Yildirim
Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Image Stylization. CoRR (2018)
Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter
First Order Generative Adversarial Networks. ICML (2018)
Romain Guigourès, Yuen King Ho, Evgenii Koriagin, Abdul-Saboor Sheikh, Urs Bergmann, Reza Shirvany
A hierarchical bayesian model for size recommendation in fashion. RecSys (2018)
Gökhan Yildirim, Calvin Seward, Urs Bergmann
Disentangling Multiple Conditional Inputs in GANs. CoRR (2018)
Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter
First Order Generative Adversarial Networks. CoRR (2018)
Abdul-Saboor Sheikh, Kashif Rasul, Andreas Merentitis, Urs Bergmann
Stochastic Maximum Likelihood Optimization via Hypernetworks. CoRR (2017)
Nikolay Jetchev, Urs Bergmann
The Conditional Analogy GAN: Swapping Fashion Articles on People Images. CoRR (2017)
Urs Bergmann, Nikolay Jetchev, Roland Vollgraf
Learning Texture Manifolds with the Periodic Spatial GAN. CoRR (2017)
Nikolay Jetchev, Urs Bergmann, Calvin Seward
GANosaic: Mosaic Creation with Generative Texture Manifolds. CoRR (2017)
Urs Bergmann, Nikolay Jetchev, Roland Vollgraf
Learning Texture Manifolds with the Periodic Spatial GAN. ICML (2017)
Nikolay Jetchev, Urs Bergmann
The Conditional Analogy GAN: Swapping Fashion Articles on People Images. ICCV Workshops (2017)
Nikolay Jetchev, Urs Bergmann, Roland Vollgraf
Texture Synthesis with Spatial Generative Adversarial Networks. CoRR (2016)
Urs Bergmann, Christoph von der Malsburg
Self-Organization of Topographic Bilinear Networks for Invariant Recognition. Neural Comput. 23 (11) (2011)
Urs Bergmann, Christoph von der Malsburg
A Bilinear Model for Consistent Topographic Representations. ICANN (3) (2010)
Junmei Zhu, Urs Bergmann, Christoph von der Malsburg
Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance. ICANN (2) (2010)