Edgar Schönfeld

I am a PhD student in Machine Learning and Computer Vision at the Bosch Center for AI and Saarland University in Germany, advised by Anna Khoreva and Bernt Schiele. Previously, I graduated with a Master’s degree in Artificial Intelligence from the University of Amsterdam and a Bachelor’s degree in Nanobiology from Delft Technical University.

My primary research interest is controllable image synthesis, but I am also curious about out-of-distribution generalization, zero-shot generalization, compositionality and causality.

Publications

ICLR

You Only Need Adversarial Supervision for Semantic Image Synthesis

Schönfeld, Edgar, Sushko, Vadim, Zhang, Dan, Gall, Juergen, Schiele, Bernt, and Khoreva, Anna

In International Conference on Learning Representations 2021

Bib PDF Code

@inproceedings{schonfeld2020you,
  title = {You Only Need Adversarial Supervision for Semantic Image Synthesis},
  author = {Sch{\"o}nfeld, Edgar and Sushko, Vadim and Zhang, Dan and Gall, Juergen and Schiele, Bernt and Khoreva, Anna},
  booktitle = {International Conference on Learning Representations},
  year = {2021},
  selected = {true},
  abbr = {ICLR},
  bibtex_show = {true},
  pdf = {https://openreview.net/pdf?id=yvQKLaqNE6M},
  code = {https://github.com/boschresearch/OASIS}
}

CVPR

A U-Net Based Discriminator for Generative Adversarial Networks

Schönfeld, Edgar, Schiele, Bernt, and Khoreva, Anna

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020

Bib PDF Code

@inproceedings{schonfeld2020u,
  title = {A U-Net Based Discriminator for Generative Adversarial Networks},
  author = {Schönfeld, Edgar and Schiele, Bernt and Khoreva, Anna},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {8207--8216},
  year = {2020},
  selected = {true},
  abbr = {CVPR},
  bibtex_show = {true},
  pdf = {https://openaccess.thecvf.com/content_CVPR_2020/papers/Schonfeld_A_U-Net_Based_Discriminator_for_Generative_Adversarial_Networks_CVPR_2020_paper.pdf},
  %html = {https://github.com/boschresearch/unetgan},
  code = {https://github.com/boschresearch/unetgan}
}

ECCV workshop

3D Noise and Adversarial Supervision Is All You Need for Multi-modal Semantic Image Synthesis

Sushko, Vadim, Schönfeld, Edgar, Zhang, Dan, Gall, Jürgen, Schiele, Bernt, and Khoreva, Anna

In European Conference on Computer Vision 2020

CVPR

Generalized zero-and few-shot learning via aligned variational autoencoders

Schönfeld, Edgar, Ebrahimi, Sayna, Sinha, Samarth, Darrell, Trevor, and Akata, Zeynep

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2019

Bib PDF Code

@inproceedings{schonfeld2019generalized,
  title = {Generalized zero-and few-shot learning via aligned variational autoencoders},
  author = {Schönfeld, Edgar and Ebrahimi, Sayna and Sinha, Samarth and Darrell, Trevor and Akata, Zeynep},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {8247--8255},
  year = {2019},
  selected = {true},
  abbr = {CVPR},
  bibtex_show = {true},
  pdf = {https://openaccess.thecvf.com/content_CVPR_2019/papers/Schonfeld_Generalized_Zero-_and_Few-Shot_Learning_via_Aligned_Variational_Autoencoders_CVPR_2019_paper.pdf},
  %html = {https://github.com/boschresearch/unetgan},
  code = {https://github.com/edgarschnfld/CADA-VAE-PyTorch}
}

The Prostate

Ex vivo treatment of prostate tumor tissue recapitulates in vivo therapy response

Zhang, Wenhao, Weerden, Wytske M, Ridder, Corrina MA, Erkens-Schulze, Sigrun, Schönfeld, Edgar, Meijer, Titia G, Kanaar, Roland, Gent, Dik C, and Nonnekens, Julie

The Prostate 2019
CVPR workshop

Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning

Schönfeld, Edgar, Ebrahimi, Sayna, Sinha, Samarth, Darrell, Trevor, and Akata, Zeynep

2019
CVPR workshop

Generalized zero-shot learning via aligned variational autoencoders

Schönfeld, Edgar, Ebrahimi, Sayna, Sinha, Samarth, Darrell, Trevor, and Akata, Zeynep

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops 2019