But he also correctly predicted a decline of social music-making. People used to make music together as a social activity much more than now, when so much of our entertainment is passive. But social music-making is probably the reason we have music at all. 3/

If you set up the meeting, I can ask.

I still like being included :)

Thought I’d add the clip!

Exactly! Cooperative perception (enabled by cooperating devices on other vehicles and infrastructure, for example) help vehicles to "see" in distant or occluded areas, and makes it possible for safer and better-informed decision-making.

Prof. Dr. Angela Dai (TUM)
Prof. Dr. Chen Feng (NYU)
Prof. Dr. Jiaqi Ma (UCLA)
Dr. Long Chen (Wayve)
Prof. Dr. Manabu Tsukada (Uni. of Tokyo)
Katie Luo (Cornell Uni)
Maria Lyssenko (BOSCH)

#IEEE #CVF #CFP #CVPR

Prof. Dr. Wolfram Burgard (Uni. of Tech. Nuremberg)
Prof. Dr. Daniel Cremers (TUM)
Dr. Mingxing Tan (Waymo)
Prof. Dr. Philipp Krähenbühl (Uni. of Texas, Austin)
Prof. Dr. Cyrill Stachniss (Uni. of Bonn)
Prof. Dr. Marco Pavone (Stanford & NVIDIA)
Prof. Dr. Laura Leal-Taixé (TUM & NVIDIA)

📅 Camera-ready Submission: 𝗔𝗽𝗿𝗶𝗹 𝟳, 𝟮𝟬𝟮𝟱 (PST)
📅 Workshop date: 𝗝𝘂𝗻𝗲 𝟭𝟭, 𝟮𝟬𝟮𝟱
📍 Location: Nashville, Tennessee, USA

🌐 Learn More & Submit Your Paper: drivex-workshop.github.io
🌐 Submission Guidelines: lnkd.in/e95M9jZf

🗣️ 𝗖𝗼𝗻𝗳𝗶𝗿𝗺𝗲𝗱 𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
Prof. Dr. Trevor Darrell (UC Berkeley)

• Contribute to the future of autonomous vehicles and AI-driven transportation

📅 Paper Submission Opens: 𝗝𝗮𝗻𝘂𝗮𝗿𝘆 𝟭𝟱, 𝟮𝟬𝟮𝟱 (PST)
📅 Paper Submission Deadline: 𝗠𝗮𝗿𝗰𝗵 𝟭𝟱, 𝟮𝟬𝟮𝟱 (23:59 PST)
📅 Notification to Authors: 𝗠𝗮𝗿𝗰𝗵 𝟯𝟭, 𝟮𝟬𝟮𝟱 (PST)

• 3D Occupancy Prediction & Scene Understanding
• #SensorDataFusion & End-to-end Perception
• Vehicle-to-Infrastructure (V2I) Interaction

💡 𝗪𝗵𝘆 𝗦𝘂𝗯𝗺𝗶𝘁?
• Share your research with a global audience of experts
• Collaborate and network with leading minds in the field

• Communication-Efficient Cooperative Perception for SelfDrivingCars
• Dataset Curation & Data Labeling for #IntelligentVehicles
• Datasets & Benchmarks for Foundation Models & Cooperative #Perception
• #3DObjectDetection, Semantic Segmentation of Vulnerable Road Users (VRUs)

📝 𝗧𝗼𝗽𝗶𝗰𝘀 𝗼𝗳 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁:
• Foundation Models for Connected & Automated Vehicles (CAV) and #IntelligentTransportationSystems (ITS)
• Vision-Language Models (VLMs) for Traffic Scene Understanding
• Large Language Model (LLM)-assisted Cooperative Systems

We invite researchers to submit their innovative work to the DriveX #Workshop on Foundation Models for #V2X-Based Cooperative Autonomous Driving.
🚀 𝗣𝗿𝗶z𝗲𝘀 & 𝗔𝘄𝗮𝗿𝗱𝘀 🚀
• Best Paper Award 🏆
• Best Paper Runner-Up Award 🏆
• Challenge Winner Award 🏆

Dr. Stewart Worrall (The University of Sydney)
Dr. Ignacio Alvarez (Intel Labs)
Maria Lyssenko (BOSCH)
Andra Petrovai (TU Cluj-Napoca)

#IV2025 #IEEE #ITS #FoundationModels #AutonomousDriving
#Perception #IntelligentVehicles
#LLMs #VLMs
#IntelligentTransportationSystems #3DVision

Prof. Dr. J. Marius Zöllner (FZI Research Center for IT)
Prof. Dr. Jiaqi Ma (UCLA)
Prof. Dr. Brendan Morris (UNLV)
Prof. Dr. Fernando García (University Carles III of Madrid)
Prof. Dr. Julian Kooij (Delft University of Technology)
Prof. Dr. Daniel Watzenig (Graz University of Technology)

🌐 Learn More & Submit Your Paper: dliva-workshop.github.io
🌐 Paper Submission Guidelines: lnkd.in/eUgfdiyz

🗣️ Invited Keynote Speakers:
Prof. Dr. Christoph Stiller (KIT)
Prof. Dr. Matthew Barth (University of California Riverside)
Prof. Dr. Ezio Malis (INRIA Sophia-Antipolis)

📅 Paper submission: 𝗙𝗲𝗯𝗿𝘂𝗮𝗿𝘆 𝟭, 𝟮𝟬𝟮𝟱 (PST)
📅 Notification of acceptance: March 30, 2025 (PST)
📅 Final paper submission: April 25, 2025 (PST)
📅 Workshop date: June 22, 2025
📍 Location: Grand Hotel Italia, Cluj-Napoca, Romania 🇷🇴

💡 𝗪𝗵𝘆 𝗦𝘂𝗯𝗺𝗶𝘁?
• Share your research with a global audience of experts.
• Collaborate and network with leading minds in the field.
• Contribute to the future of autonomous vehicles and AI-driven transportation.

📝 𝗧𝗼𝗽𝗶𝗰𝘀 𝗼𝗳 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁:
• Integration of LLMs and vision-language models (VLMs) in autonomous systems
• Advances in 3D perception and point-cloud processing
• V2X communication for safer, smarter transportation
• Data-driven approaches to enhance path planning and hazard detection
and more...