Rui Song

According to our database, Rui Song authored at least 34 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

nuReasoning: A Reasoning-Centric Dataset and Benchmark for Long-Tail Autonomous Driving.

Zhiyu Huang, Johnson Liu, Rui Song, Zewei Zhou, Ruining Yang, Yun Zhang, Tianhui Cai, Hanyin Zhang, Mingxuan Gao, Valeria Xu, Jiali Chen, Yishan Shen, Yiluan Guo, Tony Qi, Jiaqi Ma

CoRR, May, 2026

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems.

Marco Coscoy, Zewei Zhou, Seth Z. Zhao, Henry Wei, Angela Magtoto, Johnson Liu, Rui Song, Walter Zimmer, Zhiyu Huang, Chen Tang, Bolei Zhou, Jiaqi Ma

CoRR, May, 2026

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

Rui Song, Tianhui Cai, Markus Gross, Xingcheng Zhou, Zewei Zhou, Zhiyu Huang, Olaf Wysocki, Jiaqi Ma

CoRR, May, 2026

EnerGS: Energy-Based Gaussian Splatting with Partial Geometric Priors.

Rui Song, Tianhui Cai, Markus Gross, Yun Zhang, Walter Zimmer, Zhiyu Huang, Olaf Wysocki, Jiaqi Ma

CoRR, April, 2026

CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs.

Xingcheng Zhou, Hao Guo, Rui Song, Walter Zimmer, Mingyu Liu, André Schamschurko, Hu Cao, Alois Knoll

CoRR, April, 2026

SegRGB-X: General RGB-X Semantic Segmentation Model.

Jiong Liu, Yingjie Xu, Xingcheng Zhou, Rui Song, Walter Zimmer, Alois Knoll, Hu Cao

CoRR, March, 2026

Energy-Aware Imitation Learning for Steering Prediction Using Events and Frames.

Hu Cao, Jiong Liu, Xingzhuo Yan, Rui Song, Yan Xia, Walter Zimmer, Guang Chen, Alois Knoll

CoRR, March, 2026

TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments.

Zhiyu Huang, Yun Zhang, Johnson Liu, Rui Song, Chen Tang, Jiaqi Ma

CoRR, February, 2026

2025

Safety-Critical Learning for Long-Tail Events: The TUM Traffic Accident Dataset.

Walter Zimmer, Ross Greer, Xingcheng Zhou, Rui Song, Marc Pavel, Daniel Lehmberg, Ahmed Alaaeldin Ghita, Akshay Gopalkrishnan, Mohan M. Trivedi, Alois Knoll

CoRR, August, 2025

Generative AI for Autonomous Driving: Frontiers and Opportunities.

Yuping Wang, Shuo Xing, Cui Can, Renjie Li, Hongyuan Hua, Kexin Tian, Zhaobin Mo, Xiangbo Gao, Keshu Wu, Sulong Zhou, Hengxu You, Juntong Peng, Junge Zhang, Zehao Wang, Rui Song, Mingxuan Yan, Walter Zimmer, Xingcheng Zhou, Peiran Li, Zhaohan Lu, Chia-Ju Chen, Yue Huang, Ryan A. Rossi, Lichao Sun, Hongkai Yu, Zhiwen Fan, Hao (Frank) Yang, Yuhao Kang, Ross Greer, Chenxi Liu, Eun Hak Lee, Xuan Di, Xinyue Ye, Liu Ren, Alois Knoll, Xiaopeng Li, Shuiwang Ji, Masayoshi Tomizuka, Marco Pavone, Laurence Tianruo Yang, Jing Du, Ming-Hsuan Yang, Hua Wei, Ziran Wang, Yang Zhou, Jiachen Li, Zhengzhong Tu

CoRR, May, 2025

Towards Vision Zero: The Accid3nD Dataset.

Walter Zimmer, Ross Greer, Daniel Lehmberg, Marc Pavel, Holger Caesar, Xingcheng Zhou, Ahmed Alaaeldin Ghita, Mohan M. Trivedi, Rui Song, Hu Cao, Akshay Gopalkrishnan, Alois C. Knoll

CoRR, March, 2025

Enhancing Highway Safety: Accident Detection on the A9 Test Stretch Using Roadside Sensors.

Walter Zimmer, Ross Greer, Xingcheng Zhou, Rui Song, Marc Pavel, Daniel Lehmberg, Ahmed Alaaeldin Ghita, Akshay Gopalkrishnan, Mohan M. Trivedi, Alois Knoll

CoRR, February, 2025

Communication-Efficient Federated Learning in Cooperative Intelligent Transportation Systems.

Rui Song

PhD thesis, 2025

Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization.

Zhiran Yan, Yutong Xin, S. Shyam Shenoi, Rui Song, Gordon Elger

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

V2X-Gaussians: Gaussian Splatting for Multi-Agent Cooperative Dynamic Scene Reconstruction.

Abhishek Dinkar Jagtap, Rui Song, Sanath Tiptur Sadashivaiah, Andreas Festag

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Feature-aligned Fisheye Object Detection Network for Autonomous Driving.

Hu Cao, Dongyi Sun, Rui Song, Yan Xia, Xinyi Li, Alois Knoll

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Towards Vision Zero: The TUM Traffic Accid3nD Dataset.

Walter Zimmer, Ross Greer, Xingcheng Zhou, Rui Song, Hu Cao, Daniel Lehmberg, Marc Pavel, Ahmed Alaaeldin Ghita, Akshay Gopalkrishnan, Holger Caesar, Mohan M. Trivedi, Alois C. Knoll

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving.

Rui Song, Chenwei Liang, Yan Xia, Walter Zimmer, Hu Cao, Holger Caesar, Andreas Festag, Alois Knoll

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

ResFed: Communication0Efficient Federated Learning With Deep Compressed Residuals.

Rui Song, Liguo Zhou, Lingjuan Lyu, Andreas Festag, Alois Knoll

IEEE Internet Things J., March, 2024

FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems.

Rui Song, Runsheng Xu, Andreas Festag, Jiaqi Ma, Alois Knoll

IEEE Trans. Intell. Veh., January, 2024

First Mile: An Open Innovation Lab for Infrastructure-Assisted Cooperative Intelligent Transportation Systems.

Rui Song, Andreas Festag, Abhishek Dinkar Jagtap, Maximilian Bialdyga, Zhiran Yan, Maximilian Otte, Sanath Tiptur Sadashivaiah, Alois Knoll

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Generative Dataset Distillation Based on Diffusion Model.

Duo Su, Junjie Hou, Guang Li, Ren Togo, Rui Song, Takahiro Ogawa, Miki Haseyama

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

TUMTraf V2X Cooperative Perception Dataset.

Walter Zimmer, Gerhard Arya Wardana, Suren Sritharan, Xingcheng Zhou, Rui Song, Alois C. Knoll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles.

Rui Song, Chenwei Liang, Hu Cao, Zhiran Yan, Walter Zimmer, Markus Gross, Andreas Festag, Alois Knoll

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Residual encoding framework to compress DNN parameters for fast transfer.

Liguo Zhou, Rui Song, Guang Chen, Andreas Festag, Alois Knoll

Knowl. Based Syst., October, 2023

V2X-Boosted Federated Learning for Cooperative Intelligent Transportation Systems with Contextual Client Selection.

Rui Song, Lingjuan Lyu, Wei Jiang, Andreas Festag, Alois C. Knoll

CoRR, 2023

Radio Resource Allocation in 5G-NR V2X: A Multi-Agent Actor-Critic Based Approach.

Anupama Hegde, Rui Song, Andreas Festag

IEEE Access, 2023

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments.

Rui Song, Dai Liu, Dave Zhenyu Chen, Andreas Festag, Carsten Trinitis, Martin Schulz, Alois Knoll

Proceedings of the International Joint Conference on Neural Networks, 2023

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception.

Runsheng Xu, Xin Xia, Jinlong Li, Hanzhao Li, Shuo Zhang, Zhengzhong Tu, Zonglin Meng, Hao Xiang, Xiaoyu Dong, Rui Song, Hongkai Yu, Bolei Zhou, Jiaqi Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals.

Rui Song, Liguo Zhou, Lingjuan Lyu, Andreas Festag, Alois C. Knoll

CoRR, 2022

Edge-Aided Sensor Data Sharing in Vehicular Communication Networks.

Rui Song, Anupama Hegde, Numan Senel, Alois C. Knoll, Andreas Festag

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Concept of Smart Infrastructure for Connected Vehicle Assist and Traffic Flow Optimization.

Shiva Agrawal, Rui Song, Akhil Kohli, Andreas Korb, Maximilian Andre, Erik Holzinger, Gordon Elger

Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022

Intelligent Roadside Infrastructure for Connected Mobility.

Shiva Agrawal, Rui Song, Kristina Doycheva, Alois Knoll, Gordon Elger

Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2022

Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS.

Rui Song, Liguo Zhou, Venkatnarayanan Lakshminarasimhan, Andreas Festag, Alois C. Knoll

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022