activity
20242026
most citedMCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

4 citations · 4 across the 6 of their papers we have counts for

collaborators

7 papers

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

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.RO2025

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation

Jianbo Zhao, Taiyu Ban, Xiyang Wang +6

Controllable trajectory generation guided by high-level semantic decisions, termed meta-actions, is crucial for autonomous driving systems. A significant limitation of existing fra…

cs.RO2025

DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling

Jianbo Zhao, Taiyu Ban, Zhihao Liu +7

Accurate and efficient modeling of agent interactions is essential for trajectory generation, the core of autonomous driving systems. Existing methods, scene-centric, agent-centric…

cs.CV2024★ 4 cited

MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving

Xiyang Wang, Shouzheng Qi, Jieyou Zhao +8

This paper introduces MCTrack, a new 3D multi-object tracking method that achieves state-of-the-art (SOTA) performance across KITTI, nuScenes, and Waymo datasets. Addressing the ga…

cs.CV2024

StreamMOTP: Streaming and Unified Framework for Joint 3D Multi-Object Tracking and Trajectory Prediction

Jiaheng Zhuang, Guoan Wang, Siyu Zhang +5

3D multi-object tracking and trajectory prediction are two crucial modules in autonomous driving systems. Generally, the two tasks are handled separately in traditional paradigms a…