Rui Song

Rui Song

Research Fellow
University of California, Los Angeles

Visiting Researcher
University of Cambridge


About Me

I am a research fellow at UCLA Mobility Lab, working with Prof. Jiaqi Ma. I am also a visiting researcher at Cambridge CV4DT Lab, working with Prof. Olaf Wysocki. I obtained my Ph.D. degree from Technical University of Munich (TUM) with highest distinction (summa cum laude), under the supervision of Prof. Alois Knoll and Prof. Andreas Festag, with invaluable mentorship from Prof. Holger Caesar. I was a senior researcher at Fraunhofer IVI, and led/co-led to 4 research projects with a combined budget over €15 million. Before that, I was a technical product owner for autonomous driving at ZF R&D Center and IPG Automotive.

My research interests include deep learning, computer vision, cooperative intelligence and their applications in autonomous driving, transportation or robotics.

I am open to collaboration opportunities in VLM/VLA, 3D and 4D Gaussian Splatting, closed-loop simulation in autonomous driving and robotics, and would be glad to explore potential synergies.

News

04/2026

🔥 Two papers were accepted at ICML. EnerGS & TIC-VLA. Awesome team work!

04/2026

🔥 One paper was accepted at ACL. CCTVBench. Congrats to Xingcheng!

04/2026

🔥 Our OccuFly was selected as an oral presentation at CVPR!

04/2026

🔥 Two workshops were accepted at ECCV. DriveX@ECCV2026 & TwinWorld.

02/2026

🔥 Two papers were accepted at CVPR. OccuFly & SpaceDrive. Congrats to Markus & Peizheng!

01/2026

Our workshops were accepted both at CVPR 2026 and IEEE IV 2026. Find more details here: DriveX@CVPR2026 & DriveX@IV2026.

11/2025

I joined the University of Cambridge as a visiting researcher and look forward to collaborating with outstanding researchers there.

10/2025

I moved to Los Angeles and started my postdoctoral research at UCLA, exploring the intersection of spatial AI and autonomous systems.

09/2025

One paper was accepted at NeurIPS. IPFormer.

06/2025

Two papers were accepted at ICCV. Coda-4DGS & TrafficLoc.

06/2025

I was recognized as an outstanding reviewer for CVPR 2025.

06/2025

One paper was accepted at IROS.

05/2025

One workshop was accepted at ICCV 2025. Details: 2nd DriveX.

04/2025

Two papers were accepted at IEEE IV.

04/2025

I successfully defended my PhD at TUM and graduated with highest distinction (summa cum laude).

01/2025

One workshop was accepted at CVPR 2025. Details: 1st DriveX.

11/2024

One workshop was accepted at IEEE IV 2025. Details: DLIVA.

10/2024

I was recognized as an outstanding reviewer for ACM MM 2024.

08/2024

One paper was accepted at ECCV Workshop, and we won 3rd place in the ECCV Dataset Distillation Challenge.

03/2024

One paper was accepted at IEEE IV.

02/2024

Two papers were accepted at CVPR: CoHFF & TUMTraf-V2X.

10/2023

One paper was accepted at IEEE Internet of Things Journal (IF=10.6).

09/2023

One paper was accepted at IEEE Transactions on Intelligent Vehicles (IF=8.2).

07/2023

One paper was accepted at Knowledge-based Systems (IF=8.8).

05/2023

One paper was accepted at ICRA-CoPerception.

04/2023

One paper was accepted at IJCNN.

03/2023

I open-sourced a PyTorch repository for federated learning (FL), integrating multiple FL algorithms, models, and datasets.

02/2023

One paper was accepted at CVPR (Highlight).

02/2023

We released SensorTraffix, a SENSORIS-based software product for infrastructure communication, as part of Fraunhofer IVI assets. Contact.

05/2022

I had a live interview at the opening event for our 5G Innovation Lab in Ingolstadt.

05/2022

One paper was accepted at IEEE ITSC.

03/2022

One paper was accepted at IEEE VTC.

02/2022

I officially started my PhD at TUM Informatics-VI department.

12/2021

One paper was accepted at FISITA World Congress (Outstanding Paper Award).

02/2021

I joined Fraunhofer IVI as a researcher and served as lead in the InFra research project.

Selected Publications

* equal contribution; corresponding author. Full list at Google Scholar.

ConFixGS Thumbnail

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

Under review, 2026

Paper

MDrive Thumbnail

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

Under review, 2026 · Hosted as an official challenge at CVPR 2026

Project Page | Paper

EnerGS Thumbnail

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

ICML 2026

Paper | Code

TIC-VLA Thumbnail

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

ICML 2026

Project Page | Paper | Code

SpaceDrive Thumbnail

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving

Peizheng Li*, Zhenghao Zhang*, David Holtz, Hang Yu, Yutong Yang, Yuzhi Lai, Rui Song, Andreas Geiger, Andreas Zell

CVPR 2026

Project Page | Paper | Code

IPFormer Thumbnail

IPFormer: Visual 3D Panoptic Scene Completion with Context-Adaptive Instance Proposals

Markus Gross, Aya Fahmy, Danit Niwattananan, Dominik Muhle, Rui Song, Daniel Cremers, Henri Meess

NeurIPS 2025

Project Page | Paper | Code

Coda-4DGS Thumbnail

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

ICCV 2025

Project Page | Paper | Code

CoHFF Thumbnail

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes

Yan Xia, Yunxiang Lu, Rui Song, Oussema Dhaouadi, João F. Henriques, Daniel Cremers

ICCV 2025

Project Page | Paper | Code

CoHFF Thumbnail

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

CVPR 2024

Project Page | Paper | Code

CoHFF Thumbnail

TUMTraf V2X Cooperative Perception Dataset

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

CVPR 2024

Project Page | Paper | Data

Invited Research Talks

May 2026

Scene Models as a Foundation for Autonomous Driving

University of Cambridge, UK

Apr 2026

From Real Data to Generative Scene Modeling for Autonomous Driving

University of California, Merced, USA

Feb 2026

Scene Reconstruction and Synthesis for Autonomous Driving

University of California, Riverside, USA

Academic Activities

Tutorial Organizer

ICCV 2025

Tutorial on Beyond Self-Driving: Exploring Three Levels of Driving Automation.

Program Committee Member

ECCV 2024

1st Workshop on Cooperative Intelligence for Embodied AI (MEIS).

Reviewer

Conferences

CVPR, ICCV, ECCV, NeurIPS, ACM MM, AISTATS, IJCNN, IROS, IEEE IV, ITSC, TRB.

Journals

TPAMI, TNNLS, TCSVT, RA-L, TR-C, Information Fusion, Neurocomputing.

Recognition

Outstanding Reviewer Award: CVPR 2025, ACM MM 2024.

Research Projects

2021-2024: 5G Innovation Concept in Ingolstadt (5GoIng), funded by the German Federal Ministry for Digital and Transport (BMDV)
2021-2024: Ingolstadt Innovation Labotory (In2Lab), funded by Bavarian Ministry of Economic Affairs (StMWi), Regional Development and Energy
2021-2023: Artificial Intelligence in the Transportation System in Ingolstadt (KIVI), funded by the German Federal Ministry of Education and Research (BMBF)
2021-2023: Intelligent Infrastructure (Infra), funded by Bavarian Ministry of Economic Affairs (StMWi), Regional Development and Energy.
2018-2021: SetLevel4to5, funded by the German Federal Ministy for Economic Affairs and Energy (BMWi)
2017-2018: Intelligent Maneuver Automation – cooperative hazard avoidance in realtime (IMAGinE) funded by the German Federal Ministy for Economic Affairs and Energy (BMWi)
2017-2018: PEGASUS funded by the German the Federal Ministry for Economic Affairs and Energy (BMWi)

Hobbies

Snowboard: Certificated as level 3 instructor by DSLV (German Ski/Snowboard Instructor Association).
Marathon: PB 3h55; 5KM: PB 18.

© Copyright 2025 Rui Song