22 citations · 22 across the 6 of their papers we have counts for
6 papers
Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence
Xuanle Zhao, Qiushi Sun, Jingyu Xiao +16
While Large Language Models (LLMs) have substantially advanced text-to-code generation, many real programming tasks specify intent through visual artifacts such as screenshots, cha…
OmniDiagram: Advancing Unified Diagram Code Generation via Visual Interrogation Reward
Haoyue Yang, Xuanle Zhao, Xuexin Liu +2
The paradigm of programmable diagram generation is evolving rapidly, playing a crucial role in structured visualization. However, most existing studies are confined to a narrow ran…
DiffStyle3D: Consistent 3D Gaussian Stylization via Attention Optimization
Yitong Yang, Xuexin Liu, Yinglin Wang +4
3D style transfer enables the creation of visually expressive 3D content, enriching the visual appearance of 3D scenes and objects. However, existing VGG- and CLIP-based methods st…
TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception
Kailin Lyu, Long Xiao, Jianing Zeng +6
Traditional vision-based material perception methods often experience substantial performance degradation under visually impaired conditions, thereby motivating the shift toward no…
ChartEdit: How Far Are MLLMs From Automating Chart Analysis? Evaluating MLLMs' Capability via Chart Editing
Xuanle Zhao, Xuexin Liu, Haoyue Yang +5
Although multimodal large language models (MLLMs) show promise in generating chart rendering code, editing charts via code presents a greater challenge. This task demands MLLMs to…
Model Pruning Based on Quantified Similarity of Feature Maps
Zidu Wang, Xuexin Liu, Long Huang +4
Convolutional Neural Networks (CNNs) has been applied in numerous Internet of Things (IoT) devices for multifarious downstream tasks. However, with the increasing amount of data on…