| 2021 | ICLR | Using latent space regression to analyze and leverage compositionality in GANs. | Lucy Chai, Jonas Wulff, Phillip Isola |
| 2019 | CVPR | Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation. | Anurag Ranjan, Varun Jampani, Lukas Balles, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black |
| 2019 | ICCV | Seeing What a GAN Cannot Generate. | David Bau, Jun-Yan Zhu, Jonas Wulff, William S. Peebles, Bolei Zhou, Hendrik Strobelt, Antonio Torralba |
| 2018 | ECCV | "What Is Optical Flow For?": Workshop Results and Summary. | Fatma Gney, Laura Sevilla-Lara, Deqing Sun, Jonas Wulff |
| 2017 | CVPR | Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data. | Joel Janai, Fatma Gney, Jonas Wulff, Michael J. Black, Andreas Geiger |
| 2017 | CVPR | Optical Flow in Mostly Rigid Scenes. | Jonas Wulff, Laura Sevilla-Lara, Michael J. Black |
| 2015 | CVPR | Efficient sparse-to-dense optical flow estimation using a learned basis and layers. | Jonas Wulff, Michael J. Black |
| 2014 | ECCV | Modeling Blurred Video with Layers. | Jonas Wulff, Michael Julian Black |
| 2013 | CVPR | A Fully-Connected Layered Model of Foreground and Background Flow. | Deqing Sun, Jonas Wulff, Erik B. Sudderth, Hanspeter Pfister, Michael J. Black |
| 2012 | ECCV | A Naturalistic Open Source Movie for Optical Flow Evaluation. | Daniel J. Butler, Jonas Wulff, Garrett B. Stanley, Michael J. Black |
| 2012 | ECCV | Lessons and Insights from Creating a Synthetic Optical Flow Benchmark. | Jonas Wulff, Daniel J. Butler, Garrett B. Stanley, Michael J. Black |