348 citations
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365 papers
Compact Low-Cost Hyperspectral Imaging via Angular-to-Spectral Diversity Conversion
Kazuma Fujiwara, Takuya Funatomi, Kazuya Kitano +2
Snapshot hyperspectral imaging avoids sequential scanning, but systems that jointly achieve stable reconstruction, low cost, and compact optics remain limited. We present a snapsho…
Constraint-Aware Discrete Black-Box Optimization Using Tensor Decomposition
Keisuke Onoue, Ryosuke Kojima
Discrete black-box optimization is often addressed using approaches such as Sequential Model-Based Optimization (SMBO), which aims to improve sample efficiency by fitting surrogate…
Classification of COVID-19 cases from chest CT volumes using hybrid model of 3D CNN and 3D MLP-Mixer
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of COVID-19 chest CT volumes using improved 3D MLP-Mixer. Novel coronavirus disease 2019 (COVID-19) spreads over the world, c…
Automated classification method of COVID-19 cases from chest CT volumes using 2D and 3D hybrid CNN for anisotropic volumes
Masahiro Oda, Tong Zheng, Yuichiro Hayashi +5
This paper proposes an automated classification method of chest CT volumes based on likelihood of COVID-19 cases. Novel coronavirus disease 2019 (COVID-19) spreads over the world,…
Identifying Effective Program Comprehension Strategies through Gaze Transitions over Syntactic Elements
Kyogo Horikawa, Hidetake Uwano, Haruhiko Yoshioka
Program comprehension is a central research topic in software engineering, focusing on how developers understand a program's structure, behavior, and intent. Eye-tracking studies h…
WaveNeXt 2: ConvNeXt-Based Fast Neural Vocoders With Residual Denoising and Sub-Modeling for GAN and Diffusion Models
Wangzixi Zhou, Takuma Okamoto, Yamato Ohtani +2
Most neural vocoders are limited to one type: either GAN or diffusion-based. While state-of-the-art models like Vocos and WaveNeXt use powerful ConvNeXt-based generators, they have…