Jonas Wulff

Computer Science · Physical Sciences

13h-index2.6kcitations38works0.02yr avg
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Research Topics

Advanced Vision and Imaging(17), Advanced Image Processing Techniques(11), Crystallization and Solubility Studies(8), X-ray Diffraction in Crystallography(8), Generative Adversarial Networks and Image Synthesis(7)

Publications38 total

Do We Still Need Clinical Language Models?
arXiv (Cornell University)·2023· 50 citedOpen Access
Procedural Image Programs for Representation Learning
arXiv (Cornell University)·2022· 5 citedOpen Access
Learning to See by Looking at Noise
arXiv (Cornell University)·2021Open Access
Using latent space regression to analyze and leverage compositionality in GANs
arXiv (Cornell University)·2021· 30 citedOpen Access
Using latent space regression to analyze and leverage compositionality\n in GANs
arXiv (Cornell University)·2021· 5 citedOpen Access
Improving Inversion and Generation Diversity in StyleGAN using a Gaussianized Latent Space
arXiv (Cornell University)·2020· 26 citedOpen Access
Seeing What a GAN Cannot Generate
2019· 57 citedOpen Access
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
2019· 36 citedOpen Access
Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation
Lecture notes in computer science·2019· 13 cited
“What Is Optical Flow For?”: Workshop Results and Summary
Lecture notes in computer science·2019· 4 citedOpen Access
Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation
arXiv (Cornell University)·2018· 1 citedOpen Access
Temporal Interpolation as an Unsupervised Pretraining Task for Optical\n Flow Estimation
arXiv (Cornell University)·2018Open Access
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera\n Motion, Optical Flow and Motion Segmentation
arXiv (Cornell University)·2018· 3 citedOpen Access
Model-based Optical Flow: Layers, Learning, and Geometry
Universitätsbibliothek Tübingen·2017Open Access
Optical Flow in Mostly Rigid Scenes
2017· 10 citedOpen Access
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data
2017· 80 cited
Efficient sparse-to-dense optical flow estimation using a learned basis and layers
2015· 184 cited
Establishing Cross-Modal Mappings:
The MIT Press eBooks·2014· 2 cited
Establishing Cross-Modal Mappings: Empirical and Computational Investigations
The MIT Press eBooks·2014· 1 cited
Modeling Blurred Video with Layers
Lecture notes in computer science·2014· 100 cited
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Frequent Co-authors

Michael J. Black(12), Thomas Stehlé(6), Til Aach(6), Thomas G. Back(6), Sebastian Groß(5), Antonio Torralba(4), Axel Behrens(4), Phillip Isola(4), Deqing Sun(3), Pawan Sinha(3), Jovina M. Sorbetti(3), K.N. Clary(3), Danica A. Rankic(3), Daniel J. Butler(2), Garrett B. Stanley(2), Fatma Güney(2), Christian Trautwein(2), Jens J. W. Tischendorf(2), Anurag Ranjan(2), Varun Jampani(2)