Author

Ping-Ping Zhang

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Preprint Aug 2026

AnyTrack: Unifying Visual Object Tracking with Any Modalities

Visual object tracking aims to continuously locate specific targets within sequential frames, evolving from single-modal methods to multi-modal ones. However, existing multi-modal trackers are typically designed for fixed modality combinations, requiring separate models for different inputs. This leads to a poor adapta...

Hao Li, Yun-Zhi Zhuge, Wenning Hao et al. · 0 citations

Jul 2026

Less Repetition, Less Energy Cost: A Reinforcement Learning-Based Multiagent Energy-Saving Autonomous Exploration System.

This work proposes a distributed Multiagent Energy-saving Autonomous Exploration System (MEAES), and devise the consumption-exploration-balanced training framework (CEBF), which guides agents to transform from lazy exploration to energy-saving exploration strategies through dynamic reward shaping.

Yang Liu, Peng Zhang, Yan-Ting Li et al. · IEEE Transactions on Neural... · 0 citations

Jun 2026

ERA: Entropy-Guided Visual Token Pruning with Rectified Attention for Efficient MLLMs

ERA establishes logit-preserving visual token pruning as a principled framework for efficient MLLMs, unifying theoretical foundation, algorithmic design, and practical deployment.

Yuhao Wang, Mu Qiao, Haiwen Diao et al. · arXiv.org · 0 citations