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Shiyu Xuan

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Oct 2026

Local Feature Enhancement of dino.txt for Training-Free Open-Vocabulary Semantic Segmentation.

Open-vocabulary semantic segmentation aims to establish dense pixel-wise correspondences between images and open-ended semantic categories. While most existing methods build upon CLIP's image-text alignment capability, they require substantial architectural modifications to adapt image-level understanding to pixel-leve...

Cheng He, Shi-Yu Xuan, Ze-Chao Li · 0 citations
Preprint Aug 2026

Test-Time Self-Evolving GUI Visual Grounding via Reflection-Guided On-Policy Self-Distillation

GUI Visual Grounding is a fundamental capability for GUI agents. Existing models typically freeze their parameters after deployment, limiting their ability to adapt to unseen interfaces. Although recent methods attempt to adapt models via test-time reinforcement learning, they cannot reflect upon failed exploration. To...

Shiyu Xuan, Ze-Chao Li · 0 citations
Aug 2026

Diff-MM: Exploring Pre-Trained Text-to-Image Generation Models for Unified Multi-Modal Object Tracking.

A unified multi-modal tracker Diff-MM is proposed by exploiting the multi-modal understanding capability of the pre-trained text-to-image generation model by harnessing the extensive prior knowledge in the generation model to achieve a unified tracker with uniform parameters for RGB-N/D/T/E tracking.

Shi-Yu Xuan, Ze-Chao Li, Jin-Hui Tang et al. · 0 citations

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