3 papers
cs.CV2026
Sparse-Dense Mixture of Experts Adapter for Multi-Modal Tracking
Yabin Zhu, Jianqi Li, Chenglong Li +3
Parameter-efficient fine-tuning (PEFT) techniques, such as prompts and adapters, are widely used in multi-modal tracking because they alleviate issues of full-model fine-tuning, in…
cs.CV2024
Uncertainty-aware Bridge based Mobile-Former Network for Event-based Pattern Recognition
Haoxiang Yang, Chengguo Yuan, Yabin Zhu +3
The mainstream human activity recognition (HAR) algorithms are developed based on RGB cameras, which are easily influenced by low-quality images (e.g., low illumination, motion blu…
cs.CV2024
Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach
Yabin Zhu, Qianwu Wang, Chenglong Li +2
The complementary benefits from visible and thermal infrared data are widely utilized in various computer vision task, such as visual tracking, semantic segmentation and object det…