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Xingcheng Zhou
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2020 – today
- 2024
- [c1]Walter Zimmer, Gerhard Arya Wardana, Suren Sritharan, Xingcheng Zhou, Rui Song, Alois C. Knoll:
TUMTraf V2X Cooperative Perception Dataset. CVPR 2024: 22668-22677 - [i9]Mingyu Liu, Ekim Yurtsever, Xingcheng Zhou, Jonathan Fossaert, Yuning Cui, Bare Luka Zagar, Alois C. Knoll:
A Survey on Autonomous Driving Datasets: Data Statistic, Annotation, and Outlook. CoRR abs/2401.01454 (2024) - [i8]Xingcheng Zhou, Alois C. Knoll:
GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events. CoRR abs/2402.02205 (2024) - [i7]Walter Zimmer, Gerhard Arya Wardana, Suren Sritharan, Xingcheng Zhou, Rui Song, Alois C. Knoll:
TUMTraf V2X Cooperative Perception Dataset. CoRR abs/2403.01316 (2024) - [i6]Walter Zimmer, Ramandika Pranamulia, Xingcheng Zhou, Mingyu Liu, Alois C. Knoll:
PointCompress3D - A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems. CoRR abs/2405.01750 (2024) - [i5]Mingyu Liu, Ekim Yurtsever, Marc Brede, Jun Meng, Walter Zimmer, Xingcheng Zhou, Bare Luka Zagar, Yuning Cui, Alois Knoll:
GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs. CoRR abs/2405.06782 (2024) - [i4]Xingcheng Zhou, Deyu Fu, Walter Zimmer, Mingyu Liu, Venkatnarayanan Lakshminarasimhan, Leah Strand, Alois C. Knoll:
WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object Detection. CoRR abs/2407.20818 (2024) - 2023
- [i3]Xingcheng Zhou, Mingyu Liu, Bare Luka Zagar, Ekim Yurtsever, Alois C. Knoll:
Vision Language Models in Autonomous Driving and Intelligent Transportation Systems. CoRR abs/2310.14414 (2023) - 2022
- [i2]Walter Zimmer
, Emec Ercelik, Xingcheng Zhou, Xavier Jair Diaz Ortiz, Alois C. Knoll:
A Survey of Robust 3D Object Detection Methods in Point Clouds. CoRR abs/2204.00106 (2022) - [i1]Walter Zimmer
Real-Time And Robust 3D Object Detection with Roadside LiDARs. CoRR abs/2207.05200 (2022)
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last updated on 2024-10-07 01:29 CEST by the dblp team
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