6 papers
The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications
Navid Salami Pargoo, Mahshid Ghasemi, Shuren Xia +8
As urban populations grow, cities are becoming more complex, driving the deployment of interconnected sensing systems to realize the vision of smart cities. These systems aim to im…
A dual contrastive framework
Yuan Sun, Zhao Zhang, Jorge Ortiz
In current multimodal tasks, models typically freeze the encoder and decoder while adapting intermediate layers to task-specific goals, such as region captioning. Region-level visu…
VCHAR:Variance-Driven Complex Human Activity Recognition framework with Generative Representation
Yuan Sun, Navid Salami Pargoo, Taqiya Ehsan +2
Complex human activity recognition (CHAR) remains a pivotal challenge within ubiquitous computing, especially in the context of smart environments. Existing studies typically requi…
An AI-Based System Utilizing IoT-Enabled Ambient Sensors and LLMs for Complex Activity Tracking
Yuan Sun, Jorge Ortiz
Complex activity recognition plays an important role in elderly care assistance. However, the reasoning ability of edge devices is constrained by the classic machine learning model…
Rapid Review of Generative AI in Smart Medical Applications
Yuan Sun, Jorge Ortiz
With the continuous advancement of technology, artificial intelligence has significantly impacted various fields, particularly healthcare. Generative models, a key AI technology, h…
Optimizing Autonomous Driving for Safety: A Human-Centric Approach with LLM-Enhanced RLHF
Yuan Sun, Navid Salami Pargoo, Peter J. Jin +1
Reinforcement Learning from Human Feedback (RLHF) is popular in large language models (LLMs), whereas traditional Reinforcement Learning (RL) often falls short. Current autonomous…