Joel Janai
Joel Janai
Graduate Student, Max Planck Institute for Intelligent Systems
Verified email at tuebingen.mpg.de - Homepage
Title
Cited by
Cited by
Year
Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
J Janai, F Güney, A Behl, A Geiger
arXiv preprint arXiv:1704.05519, 2017
1792017
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions
J Janai, F Güney, A Ranjan, MJ Black, A Geiger
European Conference on Computer Vision (ECCV), 2018
362018
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data
J Janai, F Güney, J Wulff, M Black, A Geiger
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
302017
Attacking Optical Flow
A Ranjan, J Janai, A Geiger, MJ Black
Proceedings of the IEEE International Conference on Computer Vision, 2404-2413, 2019
32019
System and method to predict calibration values based on existing calibrations
R Commenda, K Respondek, J Zink, L Speer, S Srinivasan, J Janai, ...
US Patent 9803576B2, 2017
22017
Self-Supervised Linear Motion Deblurring
P Liu, J Janai, M Pollefeys, T Sattler, A Geiger
IEEE Robotics and Automation Letters 5 (2), 2475-2482, 2020
2020
Tracking of Arbitrary Objects in 3D Laser Range Data
J Janai, J Behley, V Steinhage
Workshop 3D-NordOst, 2017
2017
Supplementary Material for Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data
J Janai, F Güney, J Wulff, M Black, A Geiger
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