activity
20242026
most citedGEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

OralAgent: Integrating Reasoning, Tools, and Knowledge for Interactive Dental Image Analysis

Jing Hao, Siyuan Dai, Yongxin Zhang +13

Dental image analysis plays a pivotal role in supporting accurate diagnosis and treatment planning in oral healthcare. Although recent advances have produced dental AI models for s…

cs.CV2026

OralGPT-Plus: Learning to Use Visual Tools via Reinforcement Learning for Panoramic X-ray Analysis

Yuxuan Fan, Jing Hao, Hong Chen +5

Panoramic dental radiographs require fine-grained spatial reasoning, bilateral symmetry understanding, and multi-step diagnostic verification, yet existing vision-language models o…

cs.CV2025

OralGPT-Omni: A Versatile Dental Multimodal Large Language Model

Jing Hao, Yuci Liang, Lizhuo Lin +12

Multimodal Large Language Models (MLLMs) have exhibited immense potential across numerous medical specialties; yet, dentistry remains underexplored, in part due to limited domain-s…

cs.CV2025★ 1 cited

Towards Better Dental AI: A Multimodal Benchmark and Instruction Dataset for Panoramic X-ray Analysis

Jing Hao, Yuxuan Fan, Yanpeng Sun +7

Recent advances in large vision-language models (LVLMs) have demonstrated strong performance on general-purpose medical tasks. However, their effectiveness in specialized domains s…

cs.CV2024★ 2 cited

GEM: Boost Simple Network for Glass Surface Segmentation via Segment Anything Model and Data Synthesis

Jing Hao, Moyun Liu, Kuo Feng Hung

Detecting glass regions is a challenging task due to the ambiguity of their transparency and reflection properties. These transparent glasses share the visual appearance of both tr…