22 citations · 22 across the 8 of their papers we have counts for
10 papers
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…
Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
Minye Shao, Zeyu Wang, Haoran Duan +5
Precise segmentation of brain tumors, particularly contrast-enhancing regions visible in post-contrast MRI (areas highlighted by contrast agent injection), is crucial for accurate…
Attention in Diffusion Model: A Survey
Litao Hua, Fan Liu, Jie Su +9
Attention mechanisms have become a foundational component in diffusion models, significantly influencing their capacity across a wide range of generative and discriminative tasks.…