6 papers
Content-Adaptive Image Retouching Guided by Attribute-Based Text Representation
Hancheng Zhu, Xinyu Liu, Rui Yao +3
Image retouching has received significant attention due to its ability to achieve high-quality visual content. Existing approaches mainly rely on uniform pixel-wise color mapping a…
Adaptive Social Metaverse Streaming based on Federated Multi-Agent Deep Reinforcement Learning
Zijian Long, Haopeng Wang, Haiwei Dong +1
The social metaverse is a growing digital ecosystem that blends virtual and physical worlds. It allows users to interact socially, work, shop, and enjoy entertainment. However, pri…
From ChatGPT to DeepSeek AI: A Comprehensive Analysis of Evolution, Deviation, and Future Implications in AI-Language Models
Simrandeep Singh, Shreya Bansal, Abdulmotaleb El Saddik +1
The rapid advancement of artificial intelligence (AI) has reshaped the field of natural language processing (NLP), with models like OpenAI ChatGPT and DeepSeek AI. Although ChatGPT…
Leveraging LLMs to Create a Haptic Devices' Recommendation System
Yang Liu, Haiwei Dong, Abdulmotaleb El Saddik
Haptic technology has seen significant growth, yet a lack of awareness of existing haptic device design knowledge hinders development. This paper addresses these limitations by lev…
TextureMeDefect: LLM-based Defect Texture Generation for Railway Components on Mobile Devices
Rahatara Ferdousi, M. Anwar Hossain, Abdulmotaleb El Saddik
Texture image generation has been studied for various applications, including gaming and entertainment. However, context-specific realistic texture generation for industrial applic…
DefectTwin: When LLM Meets Digital Twin for Railway Defect Inspection
Rahatara Ferdousi, M. Anwar Hossain, Chunsheng Yang +1
A Digital Twin (DT) replicates objects, processes, or systems for real-time monitoring, simulation, and predictive maintenance. Recent advancements like Large Language Models (LLMs…