Scholar
Xingcheng Zhou
Google Scholar ID: FPYXLpQAAAAJ
Technical University of Munich
Autonomous Driving
Vision Language Model
Large Language Model
Computer Vision
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
522
H-index
9
i10-index
9
Publications
18
Co-authors
0
Contact
Email
xingcheng.zhou@tum.de
Publications
10 items
SGTA: Scene-Graph Based Multi-Modal Traffic Agent for Video Understanding
2026
Cited
0
SegRGB-X: General RGB-X Semantic Segmentation Model
2026
Cited
0
TUMTraf EMOT: Event-Based Multi-Object Tracking Dataset and Baseline for Traffic Scenarios
2025
Cited
0
Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset
2025
Cited
0
Generative AI for Autonomous Driving: Frontiers and Opportunities
2025
Cited
0
LiDAR-Guided Monocular 3D Object Detection for Long-Range Railway Monitoring
2025
Cited
0
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
2025
Cited
0
Towards Vision Zero: The Accid3nD Dataset
2025
Cited
0
Load more
Resume (English only)
Academic Achievements
Supervised numerous Master’s theses and guided research projects, including:
- 3D Object Detection Generalization in Static LiDAR Applications
- Real-time Multi-view Road-side 3D Object Detection
- Domain Adaptation for Road-Side Vision-Based 3D Object Detection
- Supervised 3D Perception on Roadside LiDARs Under Different Weather Situations
- CLIP-Enhanced 3D Object Detection
- Knowledge Distilled Traffic Environment Understanding
- A Multi-Modal Benchmark for Visual Question Answering in Transportation Scenes
- LiDAR-guided Monocular 3D Object Detection for Railway Monitoring
- Exploring Large Vision-Language Models in Intelligent Traffic Surveillance
Co-authors
0 total
Co-authors: 0 (list not available)
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up