Publications (8)
TriLoRA: Integrating SVD for Advanced Style Personalization in Text-to-Image Generation
Chengcheng Feng, Mu He, Qiuyu Tian +4
As deep learning technology continues to advance, image generation models, especially models like Stable Diffusion, are finding increasingly widespread application in visual arts c…
Physics-Driven Zero-Shot MRI Reconstruction with Non-local Image Priors
Lingtong Zhang, Wenlei Li, Mu He +2
Zero-Shot Self-Supervised Learning (ZS-SSL) has emerged as a promising paradigm for accelerated Magnetic Resonance Imaging (MRI) reconstruction, eliminating the reliance on fully-s…
AffordanceGrasp-R1:Leveraging Reasoning-Based Affordance Segmentation with Reinforcement Learning for Robotic Grasping
Dingyi Zhou, Mu He, Zhuowei Fang +4
We introduce AffordanceGrasp-R1, a reasoning-driven affordance segmentation framework for robotic grasping that combines a chain-of-thought (CoT) cold-start strategy with reinforce…
Nighttime Hazy Image Enhancement via Progressively and Mutually Reinforcing Night-Haze Priors
Chen Zhu, Huiwen Zhang, Mu He +2
Enhancing the visibility of nighttime hazy images is challenging due to the complex degradation distributions. Existing methods mainly address a single type of degradation (e.g., h…
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
Mu He, Le Hui, Yikai Bian +3
Existing self-supervised monocular depth estimation methods can get rid of expensive annotations and achieve promising results. However, these methods suffer from severe performanc…
From Prompt to Graph: Comparing LLM-Based Information Extraction Strategies in Domain-Specific Ontology Development
Xuan Liu, Ziyu Li, Mu He +10
Ontologies are essential for structuring domain knowledge, improving accessibility, sharing, and reuse. However, traditional ontology construction relies on manual annotation and c…
API: Empowering Generalizable Real-World Image Dehazing via Adaptive Patch Importance Learning
Chen Zhu, Huiwen Zhang, Yujie Li +2
Real-world image dehazing is a fundamental yet challenging task in low-level vision. Existing learning-based methods often suffer from significant performance degradation when appl…
Mobility-Aware Joint Service Placement and Routing in Space-Air-Ground Integrated Networks
Amir Varasteh, Sandra Hofmann, Nemanja Deric +4
People desire to be connected, no matter where they are. Recently, providing Internet access to on-board passengers has received a lot of attention from both industry and academia.…