22 citations · 22 across the 8 of their papers we have counts for
8 papers · 1 filter
When Integral Meets Decomposition: A Signal-Level Self-Supervised Feature Decompose Paradigm for Multi-Modal Image Fusion
Zeyu Wang, Jiayu Wang, Haiyu Song +1
Multimodal image fusion (MMIF) aims to integrate complementary information from different modalities into a high-quality fused image and support downstream tasks. Recently, feature…
Beyond Spatial-Domain Supervision: A Relation Constrained Space for Multi-Modal Image Fusion
Zeyu Wang, Mingyu Ge, Haiyu Song +1
Multi-modal image fusion (MMIF) aims to form a single image by integrating shared information, preserving complementary cues, and coordinating cross-modal conflicts across modaliti…
From Alignment to Fusion in 3D Vision-Language
Xueqi Qiu, Xingyu Miao, Jingjing Deng +3
Unified 3D vision-language systems must combine complementary geometry, scale, and appearance cues while supporting tasks from instance segmentation to language-guided reasoning. E…
M2StyleGS: Multi-Modality 3D Style Transfer with Gaussian Splatting
Xingyu Miao, Xueqi Qiu, Haoran Duan +4
Conventional 3D style transfer methods rely on a fixed reference image to apply artistic patterns to 3D scenes. However, in practical applications such as virtual or augmented real…
vMFCoOp: Towards Equilibrium on a Unified Hyperspherical Manifold for Prompting Biomedical VLMs
Minye Shao, Sihan Guo, Xinrun Li +3
Recent advances in context optimization (CoOp) guided by large language model (LLM)-distilled medical semantic priors offer a scalable alternative to manual prompt engineering and…
Decoding Visual Neural Representations by Multimodal with Dynamic Balancing
Kaili sun, Xingyu Miao, Bing Zhai +2
In this work, we propose an innovative framework that integrates EEG, image, and text data, aiming to decode visual neural representations from low signal-to-noise ratio EEG signal…
Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting
Xingyu Miao, Haoran Duan, Quanhao Qian +6
Spatial intelligence is emerging as a transformative frontier in AI, yet it remains constrained by the scarcity of large-scale 3D datasets. Unlike the abundant 2D imagery, acquirin…
TRACE: Temporally Reliable Anatomically-Conditioned 3D CT Generation with Enhanced Efficiency
Minye Shao, Xingyu Miao, Haoran Duan +7
3D medical image generation is essential for data augmentation and patient privacy, calling for reliable and efficient models suited for clinical practice. However, current methods…