Jonas Wulff

Hi! I'm a Postdoctoral Researcher with Antonio Torralba at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. My work concentrates on learning, understanding, and modifying the representations inside of deep neural networks, with the goal of better applying them to hard tasks like video generation and understanding.

Before coming to MIT, I did my PhD with Michael Black at the Max Planck Institute for Intelligent Systems in Tübingen, Germany, where I worked on optical flow and scene structure estimation.

Email: w u l f f @ << university >> . e d u | Google Scholar | Github


News

  • 08/2020
    To compare cross-dataset performance across various vision tasks, we organized the second Workshop for Robust Vision in conjunction with ECCV 2020.
  • 07/2020
    The benchmark for single-image depth prediction for Sintel is now online.
    Please note that the benchmark is currently in beta stage and subject to change.

Publications

Improving Inversion and Generation Diversity in StyleGAN using a Gaussianized Latent Space
Jonas Wulff and Antonio Torralba
arXiv Preprint
Paper | Code (coming soon)

Seeing what a GAN cannot create
David Bau, Jun-Yan Zhu, Jonas Wulff, William Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba
International Conference on Computer Vision (ICCV) 2019
Paper | Website | Code

Semantic photo manipulation with a generative image prior
David Bau, Hendrik Strobelt, William Peebles, Jonas Wulff, Jun-Yan Zhu, Antonio Torralba
SIGGRAPH 2019
Paper | Website

Competitive Collaboration: Joint unsupervised learning of depth, camera motion, optical flow, and motion segmentation
Anurag Ranjan, Varun Jampani, Lukas Balles, Kiwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
Paper | Code

Inverting layers of a large generator
David Bau, Jun-Yan Zhu, Jonas Wulff, William Peebles, Hendrik Strobelt, Bolei Zhou, Antonio Torralba
ICLR Workshop on Debugging Machine Learning Models 2019
Paper

Temporal interpolation as an unsupervised pretraining task for optical flow estimation
Jonas Wulff and Michael J. Black
German Conference for Pattern Recognition (GCPR) 2018
Paper

"What is Optical Flow for?": Workshop Results and Summary
Fatma Güney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff
ECCV 2018 Workshop: What is Optical Flow for?
Paper

Model-Based Optical Flow: Layers, Learning, and Geometry
Jonas Wulff
PhD Thesis, University of Tuebingen
Online version

Optical flow in mostly rigid scenes
Jonas Wulff, Laura Sevilla-Lara, Michael J. Black
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
Paper | Supplemental Material | Website | Code

Slow flow: Exploiting high-speed cameras for accurate and diverse optical flow reference data
Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black, Andreas Geiger
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
Paper | Supplemental Material | Website | Code

Smooth loops from unconstrained video
Laura Sevilla-Lara, Jonas Wulff, Kailan Sunkavalli, Eli Shechtman
Eurographics Symposium on Rendering 2015
Paper | Website

Efficient sparse-to-dense optical flow estimation using a learned basis and layers
Jonas Wulff, Michael J. Black
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015.
Paper | Code

Modeling blurred video with layers
Jonas Wulff and Michael J. Black
European Conference on Computer Vision (ECCV) 2014
Paper | Supplemental Material | Website

A fully-connected layered model of foreground and background flow
Deqing Sun, Jonas Wulff, Erik Sudderth, Hans-Peter Pfister, Michael J. Black
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2013
Paper | Supplemental Material

A naturalistic open source movie for optical flow evaluation
Daniel J. Butler, Jonas Wulff, Gerit B. Stanley, Michael J. Black
European Conference on Computer Vision (ECCV) 2012
Paper | Supplemental Material | Benchmark Website

Lessons and Insights from creating a synthetic optical flow benchmark
Jonas Wulff, Daniel J. Butler, Gerit B. Stanley, Michael J. Black
ECCV Workshop on Unsolved Problems in Optical Flow and Stereo Estimation
Paper

Publications prior to 2012

Correspondence estimation from non-rigid motion information
Jonas Wulff, Thomas Lotz, Thomas Stehle, Til Aach, and Geoffrey Chase
SPIE Medical Imaging 2011
Paper

Modellbasierte Echtzeit-Bewegungsschätzung in der Fluoreszenzendoskpie
Thomas Stehle, Jonas Wulff, Alexander Behrens, Sebasitan Gross, Til Aach
Bildverarbeitung für die Medizin 2010
Paper

Polyp segmentation in NBI colonoscopy
Sebastian Gross, Manuel Kennel, Thomas Stehle, Jonas Wulff, Jens Tischendorf, Christian Trautwein, Til Aach
Bildverarbeitung für die Medizing 2009
Publisher link

Denoising fluorescence endoscopy - A motion compensated temporal recursive video filter with an optimal minimum mean square error parameterization
Thomas Stehle, Jonas Wulff, Alexander Behrens, Sebastian Gross, Til Aach
ISBI 2009
Paper

Dynamic distortion correction for endoscopy systems with exchangeable optics
Thomas Stehle, Michael Hennes, Sebastian Gross, Alexander Behrens, Jonas Wulff, Til Aach
Bildverarbeitung für die Medizin 2009
Publisher link

Classification of colon polyps in NBI endoscopy using vascularization features
Thomas Stehle, Roland Auer, Sebastian Gross, Alexander Behrens, Jonas Wulff, Til Aach, Ron Winograd, Christian Trautwein, Jens Tischendorf, SPIE Medical Imaging 2009.
Publisher link

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