activity
20222026
most citedMacFormer: Map-Agent Coupled Transformer for Real-time and Robust Trajectory Prediction

84 citations · 107 across the 16 of their papers we have counts for

collaborators
Showing 2026Show all

7 papers · 1 filter

cs.CV2026

WA-JEPA: Rethinking the Video JEPA Paradigm for World-Action Modeling in Autonomous Driving

Xinlin Wang, Yujiao Xiang, Yuheng Zhou +11

Video Joint Embedding Predictive Architecture (V-JEPA) learns powerful spatiotemporal representations from video through self-supervised latent feature prediction. However, V-JEPA…

cs.RO2026

BehaviorWorldGen: Closing the Loop between Action Models and World Simulators via Controllable Behavior-Aware Structured World Generation

Jiaqi Wang, Zhuo Zhang, Haining Guan +15

Modern driving action models are increasingly improved in a self-improvement loop, where a learned world simulator imagines future observations and the resulting data is fed back t…

cs.CV2026

Walking in the Implicit: Interactive World Exploration via Neural Scene Representation

Zhiqi Li, Chengrui Dong, Zhenhua Du +6

Interactive video generation systems for camera-controlled world exploration roll out growing sequences of latent video frames, entangling state transition with high-frequency obse…

cs.CV2026

ChainFlow-VLA: Causal Flow Planning with Vision-Language Models

Xiyang Wang, Xinlin Wang, Tingguang Zhou +7

Current end-to-end autonomous driving systems are fundamentally limited by a mismatch between temporal causal reasoning and global trajectory consistency. Autoregressive (AR) model…

cs.CV2026

PVRF: All-in-one Adverse Weather Removal via Prior-modulated and Velocity-constrained Rectified Flow

Wei Dong, Han Zhou, Terry Ji +6

Adverse weather removal (AWR) in real-world images remains challenging due to heterogeneous and unseen degradations, while distortion-driven training often yields overly smooth res…

cs.CV2026

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving

Minqing Huang, Yujiao Xiang, Zihan Liang +8

Vision-Language-Action (VLA) models have emerged as a promising paradigm for end-to-end autonomous driving. However, existing reasoning mechanisms still struggle to provide plannin…

cs.CV2026

Any 3D Scene is Worth 1K Tokens: 3D-Grounded Representation for Scene Generation at Scale

Dongxu Wei, Qi Xu, Zhiqi Li +6

Scene-level 3D generation has long been dominated by 2D multi-view or video diffusion models. Typically, these 2D-based approaches perform scene generation in a 2D latent space, wh…