Jonas Wulff
Jonas Wulff
Postdoctoral Researcher, MIT CSAIL
Verified email at csail.mit.edu
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
11102012
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
1222015
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 conference on computer vision and pattern …, 2019
118*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
762013
Optical flow in mostly rigid scenes
J Wulff, L Sevilla-Lara, MJ Black
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
702017
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
662009
Semantic photo manipulation with a generative image prior
D Bau, H Strobelt, W Peebles, B Zhou, JY Zhu, A Torralba
arXiv preprint arXiv:2005.07727, 2020
602020
Modeling blurred video with layers
J Wulff, MJ Black
European Conference on Computer Vision, 236-252, 2014
552014
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
532012
Seeing what a gan cannot generate
D Bau, JY Zhu, J Wulff, W Peebles, H Strobelt, B Zhou, A Torralba
Proceedings of the IEEE International Conference on Computer Vision, 4502-4511, 2019
432019
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
392017
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
322018
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
302009
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
122009
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
82012
Smooth loops from unconstrained video
L Sevilla‐Lara, J Wulff, K Sunkavalli, E Shechtman
Computer Graphics Forum 34 (4), 99-107, 2015
72015
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
62019
Establishing cross-modal mappings: empirical and computational investigations
P Sinha, J Wulff, R Held
Sensory integration and the unity of consciousness, 171, 2014
52014
Temporal interpolation as an unsupervised pretraining task for optical flow estimation
J Wulff, MJ Black
German Conference on Pattern Recognition, 567-582, 2018
42018
Denoising Fluorescence Endoscopy: A Motion-Compensated Temporal Recursive Video Filter
T Stehle, J Wulff, A Behrens, S Gross, T Aach
Proceedings IEEE, 314-317, 2009
3*2009
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Articles 1–20