[CVPR 2023] A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
[AAAI 2025] Cooperatively utilizing both ego-vehicle and infrastructure sensor data via V2X communication has emerged as a promising approach for advanced autonomous driving.
[ICLR 2025] Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving
[ECCV 2024] Asynchronous Large Language Model Enhanced Planner for Autonomous Driving.
[ICCV 2025] This paper proposes MamV2XCalib, the first V2X-based infrastructure camera calibration method with the assistance of vehicle-side LiDAR.
[ICCV 2025] Cooperative perception aims to address the inherent limitations of single-vehicle autonomous driving systems through information exchange among multiple agents.
[ICLR 2025] Achieving human-like driving behaviors in complex open-world environments is a critical challenge in autonomous driving.
[AAAI2026 Oral] Official implementation of "StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving"
Codec-aware perceptual super-resolution with a diffusion-based differentiable codec simulator (H.264/H.265/H.266).
[NeurIPS 2025] Modeling interactive driving behaviors in complex scenarios remains a fundamental challenge for autonomous driving planning.
[NeurIPS 2025] The official implementation of "Towards Robust Zero-Shot Reinforcement Learning"
[ICLR 2026] 0.9B instantiation-X-VLA-0.9B simultaneously achieves SOTA performance over a sweep of benchmarks, demonstrating superior results on a wide axes of capabilities.
[ICML 2025] The Official Implementation of "Efficient Robotic Policy Learning via Latent Space Backward Planning"
