Yu-Lun Liu
3 indexed papers
Recent (6 mo)
3With code
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326
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Vision×2AI×2ML×1Crypto×1Distributed×1
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2026
UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment
UMEDA introduces a novel graph federated learning framework that uses spectral signal processing and diffusion models to enable privacy-preserving, robust localization across clients with highly heterogeneous sensor modalities and data distributions.
Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models
肖代替了视觉令牌的永久删除，通过可恢复的路由来改进视觉语言模型的性能
LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models
This paper proposes LongE2V, a method for high-quality video recovery from sparse event streams using pre-trained video diffusion priors.
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Papers
cs.CVEmpiricalRecentJul 9, 2026
LongE2V: Long-Horizon Event-based Video Reconstruction, Prediction, and Frame Interpolation with Video Diffusion Models
Cheng-De Fan, Chun-Wei Tuan Mu, Chen-Wei Chang, Chin-Yang Lin +3 more
This paper proposes LongE2V, a method for high-quality video recovery from sparse event streams using pre-trained video diffusion priors.
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cs.CVcs.AIEmpirical