| 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 | 1012 | 2020 |
| 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 | 209 | 2018 |
| Attacking optical flow A Ranjan, J Janai, A Geiger, MJ Black Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 96 | 2019 |
| 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 | 91 | 2017 |
| 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 | 33 | 2020 |
| 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 | 15 | 2017 |
| 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 | 3 | 2023 |
| METHOD FOR DETECTING LANE MARKINGS M Pittner, AP Condurache, J Janai US Patent App. 18/492,961, 2024 | | 2024 |
| 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 | | 2024 |
| 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 | | |
Andreas GeigerProfessor of Computer Science, University of Tübingen and Tübingen AI Center在 uni-tuebingen.de 的电子邮件经过验证
