Cvpr 2025 Autonomous Driving Challenge. NVIDIA Research Wins CVPR Autonomous Grand Challenge for EndtoEnd Driving YouTube CVPR 2025 Photorealistic Avatar Challenge: Julien Valentin, Ross Cutler: Photo-realistic 3D Head Avatars Autonomous Driving: Data Driven Autonomous Driving Simulation (DDADS) azadehd@waymo.com: DriveX - Foundation Models for V2X-Based Cooperative Autonomous Driving: Walter Zimmer:
[CVPR 2024 Highlight] Generalized Predictive Model for Autonomous Driving YouTube from www.youtube.com
The challenge includes real-world scenarios, such as diverse weather conditions, occlusions, and unexpected road events In conjunction with CVPR 2025, June 11-15 in Nashville, USA
[CVPR 2024 Highlight] Generalized Predictive Model for Autonomous Driving YouTube
Building upon this success, X-domain-specific foundation models (XFMs, e.g., Autonomous Driving FMs, Medical FMs) further enhance performance in specialized tasks within their respective fields by training on a curated dataset that emphasizes domain-specific knowledge and making architectural modifications specific to the task. 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 CVPR 2025 Photorealistic Avatar Challenge: Julien Valentin, Ross Cutler: Photo-realistic 3D Head Avatars
Woodscape Fisheye Object Detection for Autonomous Driving CVPR 2022 OmniCV Challenge. The challenge includes real-world scenarios, such as diverse weather conditions, occlusions, and unexpected road events Autonomous systems, such as robots and self-driving cars, have rapidly evolved over the past decades
NVIDIA Research Wins CVPR Autonomous Grand Challenge for EndtoEnd Driving YouTube. World Model Challenge by 1X & NAVSIM v2 End-to-End Driving Challenge For participation in the challenge, registering for your team is a strict requirement by filling out this Google Form.The registration information can be modified until [CVPR 2025] May 10.For more details, please check the general rules. This challenge focuses on end-to-end autonomous driving with V2X cooperation, by utilizing both ego-vehicle and infrastructure sensor data via V2X communication.