Yifang Xu

[AAAI 2025] VTG-GPT: Tuning-Free Zero-Shot Video Temporal Grounding with GPT

[IJCNN 2024] MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer

No description.

WAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous Driving

[CVPR 2026] WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving

Paper list in the survey: A Survey on Vision-Language-Action Models: An Action Tokenization Perspective

🌐 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future

A curated collection of papers on E2E-AD, aimed at researchers, engineers, and enthusiasts in the field of autonomous driving systems. This repository provides a comprehensive selection of papers, focusing primarily on the training methods and ecosystems that drive the development of intelligent autonomous vehicles.

No description.

Collects papers on autonomous driving E2E learning, VLM/VLA and Hybrid systems, with organized research branches and trends in these fields.

A curated list of awesome LLM/VLM/VLA for Autonomous Driving(LLM4AD) resources (continually updated)

Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.

Vision–Language–Action models for Autonomous Driving (VLA4AD) resources, serving as the companion repository to the survey paper “A Survey on Vision–Language–Action Models for Autonomous Driving”.