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Min-Sheng Wu

3 accepted papers

2024

Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization

ECCV 2024poster

"Recent advancements in ultra-high-resolution unpaired image-to-image translation have aimed to mitigate the constraints imposed by limited GPU memory through patch-wise inference. Nonetheless, existing methods often compromise between the reduction of noticeable tiling artifacts and the preservatio…

2022

Ultra-High-Resolution Unpaired Stain Transformation via Kernelized Instance Normalization

ECCV 2022poster

"While hematoxylin and eosin (H&E) is a standard staining procedure, immunohistochemistry (IHC) staining further serves as a diagnostic and prognostic method. However, acquiring special staining results requires substantial costs. Hence, we proposed a strategy for ultra-high-resolution unpaired imag…

2020

Stock Movement Prediction That Integrates Heterogeneous Data Sources Using Dilated Causal Convolution Networks with Attention

ICASSP 2020accepted

The purpose of this research is to develop a high performing model for stock movement prediction utilizing financial indicators and news data. Until recently, the majority of prediction models have employed only the financial indicators, but they possess the risk of missing unconventional agitators…

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