3 citations · 3 across the 8 of their papers we have counts for
8 papers
MMM-Fact: A Multimodal, Multi-Domain Fact-Checking Dataset with Multi-Level Retrieval Difficulty
Wenyan Xu, Dawei Xiang, Tianqi Ding +1
Misinformation and disinformation demand fact checking that goes beyond simple evidence-based reasoning. Existing benchmarks fall short: they are largely single modality (text-only…
PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization
Dawei Xiang, Wenyan Xu, Kexin Chu +5
The rapid advancement of generative AI has democratized access to powerful tools such as Text-to-Image models. However, to generate high-quality images, users must still craft deta…
Modality-Aware Infrared and Visible Image Fusion with Target-Aware Supervision
Tianyao Sun, Dawei Xiang, Tianqi Ding +3
Infrared and visible image fusion (IVIF) is a fundamental task in multi-modal perception that aims to integrate complementary structural and textural cues from different spectral d…
AI-Driven Prognostics for State of Health Prediction in Li-ion Batteries: A Comprehensive Analysis with Validation
Tianqi Ding, Dawei Xiang, Tianyao Sun +2
This paper presents a comprehensive review of AI-driven prognostics for State of Health (SoH) prediction in lithium-ion batteries. We compare the effectiveness of various AI algori…
Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration
Tianqi Ding, Dawei Xiang, Pablo Rivas +1
Neural Radiance Fields (NeRF) have become a popular 3D reconstruction approach in recent years. While they produce high-quality results, they also demand lengthy training times, of…
GKAN: Explainable Diagnosis of Alzheimer's Disease Using Graph Neural Network with Kolmogorov-Arnold Networks
Tianqi Ding, Dawei Xiang, Keith E Schubert +1
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that poses significant diagnostic challenges due to its complex etiology. Graph Convolutional Networks (GCNs) h…
NeRF-Based defect detection
Tianqi, Ding, Dawei Xiang +6
The rapid growth of industrial automation has highlighted the need for precise and efficient defect detection in large-scale machinery. Traditional inspection techniques, involving…
Irregularity Inspection using Neural Radiance Field
Tianqi Ding, Dawei Xiang
With the increasing growth of industrialization, more and more industries are relying on machine automation for production. However, defect detection in large-scale production mach…