97 citations · 121 across the 6 of their papers we have counts for
7 papers
OntoAR-HAR: Ontology-Guided Agentic RAG with Personalized Memory for Human Activity Recognition
Xiangqing Lu, Tao Zhu, Liang Yu +6
LLMs increasingly support sensor-based human activity recognition (HAR) by linking motion signals with activity semantics and physical knowledge. Retrieval-augmented generation (RA…
RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment
Zutao Jiang, Guian Fang, Jianhua Han +5
Recent advances in text-to-image diffusion models have achieved remarkable success in generating high-quality, realistic images from textual descriptions. However, these approaches…
3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
Zutao Jiang, Guansong Lu, Xiaodan Liang +4
Text-guided 3D object generation aims to generate 3D objects described by user-defined captions, which paves a flexible way to visualize what we imagined. Although some works have…
Dynamic Slimmable Denoising Network
Zutao Jiang, Changlin Li, Xiaojun Chang +2
Recently, tremendous human-designed and automatically searched neural networks have been applied to image denoising. However, previous works intend to handle all noisy images in a…
Multi-view registration of unordered range scans by fast correspondence propagation of multi-scale descriptors
Jihua Zhu, Siyu Xu, Zutao Jiang +3
This paper proposes a global approach for the multi-view registration of unordered range scans. As the basis of multi-view registration, pair-wise registration is very pivotal. The…
K-means clustering for efficient and robust registration of multi-view point sets
Zutao Jiang, Jihua Zhu, Georgios D. Evangelidis +3
Generally, there are three main factors that determine the practical usability of registration, i.e., accuracy, robustness, and efficiency. In real-time applications, efficiency an…
Simultaneous merging multiple grid maps using the robust motion averaging
Zutao Jiang, Jihua Zhu, Yaochen Li +2
Mapping in the GPS-denied environment is an important and challenging task in the field of robotics. In the large environment, mapping can be significantly accelerated by multiple…