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Workshop Wed, Jun 11, 2025 • 6:45 AM – 3:00 PM PDT

Workshop on Autonomous Driving

Vincent Casser · Alexander Liniger · Jose M. Alvarez · Maying Shen · Jannik Zürn · Chiyu “Max” Jiang · Nadine Chang · Dragomir Anguelov · John Leonard · Luc Van Gool

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Abstract

Though start and end times here are correct, detailed schedules here may not be complete or up to date. Please be sure to cross reference the workshop's website to verify workshop schedule details if they are available on the workshop's website. (Added by CVPR.)

The CVPR 2025 Workshop on Autonomous Driving (WAD) brings together leading researchers and engineers from academia and industry to discuss the latest advances in autonomous driving. Now in its 8th year, the workshop has been continuously evolving with this rapidly changing field and now covers all areas of autonomy, including perception, behavior prediction and motion planning. In this full-day workshop, our keynote speakers will provide insights into the ongoing commercialization of autonomous vehicles, as well as progress in related fundamental research areas. Furthermore, we will host a series of technical benchmark challenges to help quantify recent advances in the field, and invite authors of accepted workshop papers to present their work.

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Schedule

Timezone: America/Los_Angeles

AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection Paper

Loveneet Saini

Inferring Driving Maps by Deep Learning-based Trail Map Extraction Paper

Michael Hubbertz

LMFormer: Lane based Motion Prediction Transformer Paper

Harsh Yadav

TB-Bench: Training and Testing Multi-Modal AI for Understanding Spatio-Temporal Traffic Behaviors from Dashcam Images/Videos Paper

Korawat Charoenpitaks

PatchContrast: Self-Supervised Pre-Training for 3D Object Detection Paper

Oren Shrout

PS4PRO: Pixel-to-pixel Supervision for Photorealistic Rendering and Optimization Paper

Yezhi Shen

Exploring Semi-Supervised Learning for Online Mapping Paper

Adam Lilja

NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds Paper

Mahan Rafidashti

Multimodal 3D Object Detection on Unseen Domains Paper

Deepti Hegde

What is the Added Value of UDA in the VFM Era? Paper

Gijs Dubbelman

Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes Paper

Nicola Marinello

TrajGNAS: Heterogeneous Multiagent Trajectory Prediction Based on a Graph Neural Architecture Search Paper

Yunheng Xu

CE-NPBG: Connectivity Enhanced Neural Point-Based Graphics for Novel View Synthesis in Autonomous Driving Scenes Paper

Mohammad Altillawi

DuoSpaceNet: Leveraging Both Bird's-Eye-View and Perspective View Representations for 3D Object Detection Paper

Zhe Huang

Data Scaling Laws for End-to-End Autonomous Driving Paper

Alex Naumann

Nexar Dashcam Collision Prediction Dataset and Challenge Paper

Daniel Moura

DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos Paper

Rajeev Yasarla