Enjoy our hosted events
Challenge
Autonomous Grand Challenge 2025
- World Model Challenge by 1X
- NAVSIM v2 End-to-End Driving Challenge
- Manipulation Challenge
Workshop
Embodied Intelligence for Autonomous Systems on the Horizon
Autonomous systems, such as robots and self-driving cars, have rapidly evolved over the past decades. Despite this, several problems remain. Attempts have been made to develop more capable autonomous systems, such as integrating foundation models and utilizing large-scale data. However, the challenging problems have yet to be solved. The motivation behind this workshop is to explore potential solutions, and discuss the challenges and opportunities associated with these approaches. We believe that this workshop serves as a brand-new perspective on the present and future of autonomous systems, and is necessary for both the robotics and computer vision communities.
Tutorial
Robotics 101: An Odyssey from A Vision Perspective
In recent years, there has been a growing interest in robotics in the vision community. Getting started in robotics research is challenging since it requires a wide range of knowledge. This comprehensive full-day tutorial covers all aspects of robotics. We will provide the necessary background to understand the different aspects of robotics. We will also explore technical advancements, key challenges, and potential avenues for future research.
Explore our participating talks
Multi-Agent Embodied Intelligent Systems Meet Generative-AI Era: Opportunities, Challenges and Futures
This workshop focuses on cooperative intelligence within multi-agent embodied intelligent systems. Artificial intelligence has propelled the development of embodied AI, particularly in autonomous vehicles, robotics, and drones. However, achieving full autonomy in complex and dynamic environments remains a formidable challenge for individual agents. Cooperative intelligence offers a transformative approach that allows agents to collaborate and interact with the infrastructure to handle a wide range of tasks more efficiently.
Workshop on Autonomous Driving
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.
Distillation of Foundation Models for Autonomous Driving
The Workshop on Distillation of Foundation Models for Autonomous Driving (WDFM-AD) focuses on advancing the state of the art in deploying large foundation models—such as vision-language models (VLMs) and generative AI (GenAI) models—into autonomous vehicles through efficient distillation techniques. Building on the success of our previous workshops on large language and vision models for autonomous driving, WDFM-AD aims to bring together researchers and industry professionals to explore innovative approaches that accelerate the safe, efficient, and scalable adoption of cutting-edge AI technologies in autonomous vehicles.
Acknowledge our members for professional service
Many team members make their contribution to CVPR 2025, altogether we are building a more professional community to shape the future of AI. We sincerely thank all for their service:
-
Reviewer
Li Chen, Chonghao Sima, Yihang Qiu, Shenyuan Gao, Haochen Tian
Diversity, equity, and inclusion
Many of the greatest ideas come from a diverse mix of minds, backgrounds, and experiences. We provide equal opportunities to all participants without regard to nationality, affiliation, race, religion, color, age, disability, or any other restriction. We believe diversity drives innovation. When we say we welcome participation from everyone, we mean everyone.