6 papers
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…
Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths
Huashan Chen, Zhenyu Qi, Haotang Li +7
Large Language Models (LLMs) have become central to automated code generation, yet existing approaches operate within a single-LLM paradigm: one model is selected and applied throu…
UWB-PostureGuard: A Privacy-Preserving RF Sensing System for Continuous Ergonomic Sitting Posture Monitoring
Haotang Li, Zhenyu Qi, Sen He +6
Improper sitting posture during prolonged computer use has become a significant public health concern. Traditional posture monitoring solutions face substantial barriers, including…
Unveiling Code Clone Patterns in Open Source VR Software: An Empirical Study
Huashan Chen, Zisheng Huang, Yifan Xu +6
Code cloning is frequently observed in software development, often leading to a variety of maintenance and security issues. While substantial research has been conducted on code cl…
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…
PhysDepth: Plug-and-Play Physical Refinement for Monocular Depth Estimation in Challenging Environments
Kebin Peng, Haotang Li, Zhenyu Qi +6
State-of-the-art monocular depth estimation (MDE) models often struggle in challenging environments, primarily because they overlook robust physical information. To demonstrate thi…