Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation


Mar 16, 2023
Luca Tomasetti, Stine Hansen, Mahdieh Khanmohammadi, Kjersti Engan, Liv Jorunn Høllesli, Kathinka Dæhli Kurz, Michael Kampffmeyer

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning


Nov 25, 2022
Zaiyu Huang, Hanhui Li, Zhenyu Xie, Michael Kampffmeyer, Qingling Cai, Xiaodan Liang

Add code

* 36th Conference on Neural Information Processing Systems (NeurIPS 2022) 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model


Oct 15, 2022
Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina MC Höhne, Michael Kampffmeyer

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on


Jul 27, 2022
Zhenyu Xie, Zaiyu Huang, Fuwei Zhao, Haoye Dong, Michael Kampffmeyer, Xin Dong, Feida Zhu, Xiaodan Liang

Add code

* arXiv admin note: substantial text overlap with arXiv:2111.10544 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images


Jun 30, 2022
Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu

Add code

* Accepted by MICCAI 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

The Kernelized Taylor Diagram


May 18, 2022
Kristoffer Wickstrøm, J. Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen

Add code

* Accepted at the Norwegian Artificial Intelligence Symposium 2022. Code available at: https://github.com/Wickstrom/KernelizedTaylorDiagram 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Automatic Identification of Chemical Moieties


Mar 30, 2022
Jonas Lederer, Michael Gastegger, Kristof T. Schütt, Michael Kampffmeyer, Klaus-Robert Müller, Oliver T. Unke

Add code


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series


Mar 17, 2022
Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen

Add code

* Published in Journal of Pattern Recognition Letters: https://www.sciencedirect.com/science/article/pii/S0167865522000502 Code available at: https://github.com/Wickstrom/MixupContrastiveLearning 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels


Mar 03, 2022
Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer

Add code

* Accepted in Medical Image Analysis 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
>>