Jonas Wulff

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Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonVerified email at tuebingen.mpg.de
Garrett B. StanleyGeorgia Institute of Technology & Emory UniversityVerified email at bme.gatech.edu
Daniel J ButlerGraduate Student, Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Deqing SunResearch Scientist, GoogleVerified email at google.com
Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Thomas StehlePhilips ResearchVerified email at philips.com
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Anurag RanjanResearcher, Apple Machine IntelligenceVerified email at tue.mpg.de
David BauPhD Student at MITVerified email at mit.edu
Bolei ZhouAssistant Professor at The Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Hendrik StrobeltIBM Research / MIT-IBM Watson AI LabVerified email at strobelt.com
Kihwan KimVice president, Samsung ElectronicsVerified email at samsung.com
Varun JampaniResearcher, Google ResearchVerified email at google.com
Laura Sevilla-LaraLecturer at University of EdinburghVerified email at tuebingen.mpg.de
Erik B. SudderthProfessor of Computer Science, UC IrvineVerified email at uci.edu
Fatma GuneyUniversity of OxfordVerified email at robots.ox.ac.uk
Joel JanaiRobert Bosch GmbHVerified email at de.bosch.com
Pawan SinhaProfessor of Visual Neuroscience, MITVerified email at mit.edu
Andreas GeigerProfessor of Computer Science, University of Tübingen and MPI-ISVerified email at uni-tuebingen.de
Yuri OstrovskyMITVerified email at mit.edu

Jonas Wulff

Postdoctoral Researcher, MIT CSAIL

Verified email at csail.mit.edu

Computer Vision Motion Estimation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A naturalistic open source movie for optical flow evaluation DJ Butler, J Wulff, GB Stanley, MJ Black European conference on computer vision, 611-625, 2012	1353	2012
Competitive collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation A Ranjan, V Jampani, L Balles, K Kim, D Sun, J Wulff, MJ Black Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	228*	2019
Efficient sparse-to-dense optical flow estimation using a learned basis and layers J Wulff, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015	142	2015
Semantic photo manipulation with a generative image prior D Bau, H Strobelt, W Peebles, J Wulff, B Zhou, JY Zhu, A Torralba arXiv preprint arXiv:2005.07727, 2020	127	2020
Seeing what a gan cannot generate D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	101	2019
A fully-connected layered model of foreground and background flow D Sun, J Wulff, EB Sudderth, H Pfister, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	90	2013
Optical flow in mostly rigid scenes J Wulff, L Sevilla-Lara, MJ Black Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	84	2017
Classification of colon polyps in NBI endoscopy using vascularization features T Stehle, R Auer, S Gross, A Behrens, J Wulff, T Aach, R Winograd, ... Medical Imaging 2009: Computer-Aided Diagnosis 7260, 72602S, 2009	70	2009
Modeling blurred video with layers J Wulff, MJ Black European Conference on Computer Vision, 236-252, 2014	63	2014
Lessons and insights from creating a synthetic optical flow benchmark J Wulff, DJ Butler, GB Stanley, MJ Black European Conference on Computer Vision, 168-177, 2012	59	2012
Slow flow: Exploiting high-speed cameras for accurate and diverse optical flow reference data J Janai, F Guney, J Wulff, MJ Black, A Geiger Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	49	2017
Polyp segmentation in NBI colonoscopy S Gross, M Kennel, T Stehle, J Wulff, J Tischendorf, C Trautwein, T Aach Bildverarbeitung für die Medizin 2009, 252-256, 2009	32	2009
Adversarial collaboration: Joint unsupervised learning of depth, camera motion, optical flow and motion segmentation A Ranjan, V Jampani, K Kim, D Sun, J Wulff, MJ Black arXiv preprint arXiv:1805.09806 2 (6), 2018	29	2018
Inverting layers of a large generator D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba ICLR Workshop 2 (3), 4, 2019	12	2019
Dynamic distortion correction for endoscopy systems with exchangeable optics T Stehle, M Hennes, S Gross, A Behrens, J Wulff, T Aach Bildverarbeitung für die Medizin 2009, 142-146, 2009	12	2009
Temporal interpolation as an unsupervised pretraining task for optical flow estimation J Wulff, MJ Black German Conference on Pattern Recognition, 567-582, 2018	9	2018
MPI-Sintel optical flow benchmark: Supplemental material D Butler, J Wulff, G Stanley, M Black MPI-IS-TR-006, MPI for Intelligent Systems (2012, 2012	9	2012
Improving inversion and generation diversity in stylegan using a gaussianized latent space J Wulff, A Torralba arXiv preprint arXiv:2009.06529, 2020	7	2020
Smooth loops from unconstrained video L Sevilla‐Lara, J Wulff, K Sunkavalli, E Shechtman Computer Graphics Forum 34 (4), 99-107, 2015	7	2015
Establishing cross-modal mappings: Empirical and computational investigations P Sinha, J Wulff, R Held Sensory integration and the unity of consciousness, 171-192, 2014	6	2014

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