| 3d object detection with a self-supervised lidar scene flow backbone E Erçelik, E Yurtsever, M Liu, Z Yang, H Zhang, P Topçam, M Listl, ... European Conference on Computer Vision, 247-265, 2022 | 21 | 2022 |
| Vision language models in autonomous driving and intelligent transportation systems X Zhou, M Liu, BL Zagar, E Yurtsever, AC Knoll arXiv preprint arXiv:2310.14414, 2023 | 20 | 2023 |
| A survey on autonomous driving datasets: Statistics, annotation quality, and a future outlook M Liu, E Yurtsever, J Fossaert, X Zhou, W Zimmer, Y Cui, BL Zagar, ... IEEE Transactions on Intelligent Vehicles, 2024 | 12* | 2024 |
| GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs M Liu, E Yurtsever, M Brede, J Meng, W Zimmer, X Zhou, BL Zagar, Y Cui, ... arXiv preprint arXiv:2405.06782, 2024 | | 2024 |
| PointCompress3D--A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems W Zimmer, R Pranamulia, X Zhou, M Liu, AC Knoll arXiv preprint arXiv:2405.01750, 2024 | | 2024 |
| Hybrid frequency modulation network for image restoration Y Cui, M Liu, W Ren, A Knoll International Joint Conference on Artificial Intelligence, 2024 | | 2024 |
| 3D Understanding of Deformable Linear Objects: Datasets and Transferability Benchmark BL Žagar, T Hertel, M Liu, E Yurtsever, ALC Knoll arXiv preprint arXiv:2310.08904, 2023 | | 2023 |
| 3D Object Detection with a Self-supervised Lidar Scene Flow Backbone Supplementary Material E Erçelik, E Yurtsever, M Liu, Z Yang, H Zhang, P Topçam, M Listl, ... | | |
