| Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints R Mahjourian, M Wicke, A Angelova Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 705 | 2018 |
| Depth prediction without the sensors: Leveraging structure for unsupervised learning from monocular videos V Casser, S Pirk, R Mahjourian, A Angelova Proceedings of the AAAI conference on artificial intelligence 33 (01), 8001-8008, 2019 | 406 | 2019 |
| An approximation algorithm for conflict-aware broadcast scheduling in wireless ad hoc networks R Mahjourian, F Chen, R Tiwari, M Thai, H Zhai, Y Fang Proceedings of the 9th ACM international symposium on Mobile ad hoc …, 2008 | 85 | 2008 |
| Unsupervised monocular depth and ego-motion learning with structure and semantics V Casser, S Pirk, R Mahjourian, A Angelova Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 74 | 2019 |
| Geometry-based next frame prediction from monocular video R Mahjourian, M Wicke, A Angelova 2017 IEEE Intelligent Vehicles Symposium (IV), 1700-1707, 2017 | 41 | 2017 |
| Identifying driver interactions via conditional behavior prediction E Tolstaya, R Mahjourian, C Downey, B Vadarajan, B Sapp, D Anguelov 2021 IEEE International Conference on Robotics and Automation (ICRA), 3473-3479, 2021 | 32 | 2021 |
| Unsupervised learning of depth and ego-motion: A structured approach V Casser, S Pirk, R Mahjourian, A Angelova Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 2, 7, 2019 | 23 | 2019 |
| Hierarchical policy design for sample-efficient learning of robot table tennis through self-play R Mahjourian, R Miikkulainen, N Lazic, S Levine, N Jaitly arXiv preprint arXiv:1811.12927, 2018 | 20 | 2018 |
| Image depth prediction neural networks A Angelova, M Wicke, R Mahjourian US Patent 10,929,996, 2021 | 15 | 2021 |
| Future segmentation using 3d structure S Vora, R Mahjourian, S Pirk, A Angelova arXiv preprint arXiv:1811.11358, 2018 | 14 | 2018 |
| Occupancy flow fields for motion forecasting in autonomous driving R Mahjourian, J Kim, Y Chai, M Tan, B Sapp, D Anguelov IEEE Robotics and Automation Letters 7 (2), 5639-5646, 2022 | 11 | 2022 |
| Software connector classification and selection for data-intensive systems CA Mattmann, D Woollard, N Medvidovic, R Mahjourian Second International Workshop on Incorporating COTS Software into Software …, 2007 | 10 | 2007 |
| Future semantic segmentation leveraging 3d information S Vora, R Mahjourian, S Pirk, A Angelova | 4 | 2018 |
| Stopnet: Scalable trajectory and occupancy prediction for urban autonomous driving J Kim, R Mahjourian, S Ettinger, M Bansal, B White, B Sapp, D Anguelov 2022 International Conference on Robotics and Automation (ICRA), 8957-8963, 2022 | 3 | 2022 |
| Future semantic segmentation prediction using 3D structure S Vora, R Mahjourian, S Pirk, A Angelova US Patent 11,100,646, 2021 | 3 | 2021 |
| An architectural style for data-driven systems R Mahjourian High Confidence Software Reuse in Large Systems: 10th International …, 2008 | 3 | 2008 |
| Unsupervised Learning of Depth and Ego-Motion from Monocular Video in 3D R Mahjourian, M Wicke, A Angelova | 2 | 2018 |
| Revisiting Multi-Scale Feature Fusion for Semantic Segmentation T Meng, G Ghiasi, R Mahjorian, QV Le, M Tan arXiv preprint arXiv:2203.12683, 2022 | 1 | 2022 |
| Training perspective computer vision models using view synthesis VM Casser, Y Chai, D Anguelov, H Zhao, H Kretzschmar, R Mahjourian, ... US Patent App. 17/344,254, 2021 | 1 | 2021 |
| Unsupervised depth prediction neural networks VM Casser, S Pirk, R Mahjourian, A Angelova US Patent App. 17/272,419, 2021 | 1 | 2021 |
