:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Yang, Meng, Qiang, Liu, Zhaojiang, Liu, Youquan, Yang, Jian, Xie, Jin
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2605.21139
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

GEM: Generating LiDAR World Model via Deformable Mamba
by: Wu, Yang, et al.
Published: (2026)

LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving
by: Kong, Lingdong, et al.
Published: (2025)

AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving
by: Luo, Yuechen, et al.
Published: (2025)

CoIRL-AD: Collaborative-Competitive Imitation-Reinforcement Learning in Latent World Models for Autonomous Driving
by: Zheng, Xiaoji, et al.
Published: (2025)

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
by: Huang, Chi-Pin, et al.
Published: (2025)

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving
by: Sun, Zhengqi, et al.
Published: (2026)

Densely Distilling Cumulative Knowledge for Continual Learning
by: Shi, Zenglin, et al.
Published: (2024)

Multi-Objective Reinforcement Learning for Adaptable Personalized Autonomous Driving
by: Surmann, Hendrik, et al.
Published: (2025)

Hybrid-Prediction Integrated Planning for Autonomous Driving
by: Liu, Haochen, et al.
Published: (2024)

ProIn: Learning to Predict Trajectory Based on Progressive Interactions for Autonomous Driving
by: Dong, Yinke, et al.
Published: (2024)

SGMD: Score Gradient Matching Distillation for Few-Step Video Diffusion Distillation
by: Wu, Zhuguanyu, et al.
Published: (2026)

BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
by: Liu, Shu, et al.
Published: (2025)

Closed-Loop Unsupervised Representation Disentanglement with $β$-VAE Distillation and Diffusion Probabilistic Feedback
by: Jin, Xin, et al.
Published: (2024)

Exploiting T-norms for Deep Learning in Autonomous Driving
by: Stoian, Mihaela Cătălina, et al.
Published: (2024)

MM-ACT: Learn from Multimodal Parallel Generation to Act
by: Liang, Haotian, et al.
Published: (2025)

Semi-off-Policy Reinforcement Learning for Vision-Language Slow-Thinking Reasoning
by: Shen, Junhao, et al.
Published: (2025)

A Survey for Foundation Models in Autonomous Driving
by: Gao, Haoxiang, et al.
Published: (2024)

Toward Unified Multimodal Representation Learning for Autonomous Driving
by: Tao, Ximeng, et al.
Published: (2026)

Interactive Continual Learning: Fast and Slow Thinking
by: Qi, Biqing, et al.
Published: (2024)

RMT-PPAD: Real-time Multi-task Learning for Panoptic Perception in Autonomous Driving
by: Wang, Jiayuan, et al.
Published: (2025)

CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-scale Reinforcement Learning in Autonomous Driving
by: Zhang, Dongkun, et al.
Published: (2025)

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
by: Kong, Dehong, et al.
Published: (2025)

SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving
by: Xie, Yiming, et al.
Published: (2024)

CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
by: Sun, Zening, et al.
Published: (2026)

Multi-Space Alignments Towards Universal LiDAR Segmentation
by: Liu, Youquan, et al.
Published: (2024)

GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation
by: Dou, Weijia, et al.
Published: (2025)

One-shot Federated Learning via Synthetic Distiller-Distillate Communication
by: Zhang, Junyuan, et al.
Published: (2024)

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)

RL-Selector: Reinforcement Learning-Guided Data Selection via Redundancy Assessment
by: Yang, Suorong, et al.
Published: (2025)

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving
by: Xie, Yichen, et al.
Published: (2024)

Reliable Thinking with Images
by: Li, Haobin, et al.
Published: (2026)

CausalVAD: De-confounding End-to-End Autonomous Driving via Causal Intervention
by: Tang, Jiacheng, et al.
Published: (2026)

Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning
by: Wang, Qi, et al.
Published: (2025)

LastAct: Trajectory-Guided Latest-Activity Localization for Real-Time Smart-Home Activity Recognition
by: Liu, Zishuai, et al.
Published: (2026)

CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
by: Yang, Huitong, et al.
Published: (2025)

Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning
by: Dong, Linwei, et al.
Published: (2026)

Uncertainty-Aware Multi-Expert Knowledge Distillation for Imbalanced Disease Grading
by: Tong, Shuo, et al.
Published: (2025)

Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
by: Yang, Yuxuan, et al.
Published: (2024)

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
by: Xie, Haoyu, et al.
Published: (2024)

Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptation
by: Liang, Jian, et al.
Published: (2024)