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Joel Janai
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Computer Vision for Autonomous Vehicles: Problems, Datasets and State-of-the-Art
J Janai, F Güney, A Behl, A Geiger
Foundations and Trends® in Computer Graphics and Vision 12, 1-308, 2020
10832020
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
2162018
Attacking optical flow
A Ranjan, J Janai, A Geiger, MJ Black
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1012019
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
902017
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
352020
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
152017
3D-SpLineNet: 3D Traffic Line Detection Using Parametric Spline Representations
M Pittner, A Condurache, J Janai
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
42023
LaneCPP: Continuous 3D Lane Detection using Physical Priors
M Pittner, J Janai, AP Condurache
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
32024
METHOD FOR RECOGNIZING HORIZONTAL ROAD MARKINGS
A Sultan, J Janai, T Kapelner, T Wenzel
US Patent App. 18/417,209, 2024
2024
METHOD FOR DETECTING LANE MARKINGS
M Pittner, AP Condurache, J Janai
US Patent App. 18/492,961, 2024
2024
Anchor for line recognition
A Sultan, J Janai, T Kapelner, T Wenzel
US Patent App. 18/152,225, 2023
2023
Addressing the Data Scarcity of Learning-based Optical Flow Approaches
J Janai
University of Tübingen, 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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