Xingcheng Zhou

Orcid: 0000-0003-1178-5221

According to our database1, Xingcheng Zhou authored at least 30 papers between 2022 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
EchoRL: Reinforcement Learning via Rollout Echoing.
CoRR, May, 2026

ConFixGS: Learning to Fix Feedforward 3D Gaussian Splatting with Confidence-Aware Diffusion Priors in Driving Scenes.
CoRR, May, 2026

CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs.
CoRR, April, 2026

SGTA: Scene-Graph Based Multi-Modal Traffic Agent for Video Understanding.
CoRR, April, 2026

SegRGB-X: General RGB-X Semantic Segmentation Model.
CoRR, March, 2026

OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
TUMTraf EMOT: Event-Based Multi-Object Tracking Dataset and Baseline for Traffic Scenarios.
CoRR, December, 2025

Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset.
CoRR, August, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.
CoRR, May, 2025

OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model.
CoRR, March, 2025

Towards Vision Zero: The Accid3nD Dataset.
CoRR, March, 2025

TUMTraffic-VideoQA: A Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes.
CoRR, February, 2025

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors.
CoRR, February, 2025

LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

PointCompress3D: A Point Cloud Compression Framework for Roadside Lidars in Intelligent Transportation Systems.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Surface3D: A Surface-Aware Framework for Refining 3D Object Detection.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

MambaSFLNet: A Mamba-based Model for Low-Light Image Enhancement with Spatial and Frequency Features.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

TUMTraf CrossVision: A Multi-View Multi-Modal Vision Dataset for Arterial Intersection Traffic Surveillance.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2025

TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Vision Zero: The TUM Traffic Accid3nD Dataset.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook.
IEEE Trans. Intell. Veh., November, 2024

PointCompress3D - A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems.
CoRR, 2024

GPT-4V as Traffic Assistant: An In-depth Look at Vision Language Model on Complex Traffic Events.
CoRR, 2024

A Survey on Autonomous Driving Datasets: Data Statistic, Annotation, and Outlook.
CoRR, 2024

WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object Detection.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

GraphRelate3D: Context-Dependent 3D Object Detection with Inter-Object Relationship Graphs.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

TUMTraf V2X Cooperative Perception Dataset.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Vision Language Models in Autonomous Driving and Intelligent Transportation Systems.
CoRR, 2023

2022
Real-Time And Robust 3D Object Detection with Roadside LiDARs.
CoRR, 2022

A Survey of Robust 3D Object Detection Methods in Point Clouds.
CoRR, 2022


  Loading...