2 papers
cs.CV2026
MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation
Haotang Li, Zhenyu Qi, Hao Qin +4
Self-supervised semantic segmentation methods often suffer from structural errors, including merging distinct objects or fragmenting coherent regions, because they rely primarily o…
cs.SE2025
Harnessing Large Language Model for Virtual Reality Exploration Testing: A Case Study
Zhenyu Qi, Haotang Li, Hao Qin +3
As the Virtual Reality (VR) industry expands, the need for automated GUI testing is growing rapidly. Large Language Models (LLMs), capable of retaining information long-term and an…