Conditional latent diffusion has become a promising paradigm for synthesizing paired image-mask data for segmentation, yet preserving structural topology remains challenging for curvilinear objects such as vessels and cracks. Existing methods mainly focus on how to inject spatial conditions into generative backbones, w...
Qin Lei, Ce-Ran Chen, Jiang Zhong et al.· IEEE Transactions on Neural...· 0 citations
Time series forecasting aims to predict future values using historical observations, which is crucial for many practical applications with complex temporal dynamics. Recent frequency-domain forecasting methods have utilized spectral representations to model periodicity, but they usually rely on an implicit assumption:...
Zhenxin Li, Longquan Liao, Wen-Chang Zhang et al.· Proceedings of the Thirty-Fi...· 0 citations
Traditional search engines struggle to synthesize fragmented information for complex queries, while generative AI search engines face challenges in relevance, comprehensiveness, and presentation. To address these limitations, we introduce Xinyu AI Search, a novel system that incorporates a query-decomposition graph to...
Bo Tang, Junyi Zhu, Ang Li et al.· Proceedings of the 32nd ACM...· 0 citations
Metaphor enables the understanding of abstract concepts through cross-domain mappings while conveying affective attitudes. In multimodal scenarios, visual and textual information jointly construct Target--Source mappings, requiring both conceptual understanding and cross-modal reasoning. However, existing benchmarks ma...
Hongye Jiang, Junnan Zhu, Jing-Wang Huang et al.· 0 citations
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