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- The University of TokyoJP171 papers
- The Graduate University for Advanced Studies, SOKENDAIJP129 papers
- NTT Basic Research LaboratoriesJP96 papers
- Stanford UniversityUS80 papers
- Japan Science and Technology AgencyJP63 papers
- NTT (Japan)JP60 papers
- Centre National de la Recherche ScientifiqueFR55 papers
- New York UniversityUS49 papers
- New York University ShanghaiCN49 papers
- Hewlett-Packard (United Kingdom)GB41 papers
- East China Normal UniversityCN38 papers
- Japanese-French Laboratory for InformaticsJP38 papers
82 papers · 1 filter
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,…
InterAct: A Large-Scale Dataset of Dynamic, Expressive and Interactive Activities between Two People in Daily Scenarios
Leo Ho, Yinghao Huang, Dafei Qin +5
We address the problem of accurate capture of interactive behaviors between two people in daily scenarios. Most previous works either only consider one person or solely focus on co…
CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction
Peter J. Bentley, Soo Ling Lim, Fuyuki Ishikawa
Large Language Model (LLM) image recognition is a powerful tool for extracting data from images, but accuracy depends on providing sufficient cues in the prompt - requiring a domai…
GreedyPixel: Fine-Grained Black-Box Adversarial Attack Via Greedy Algorithm
Hanrui Wang, Ching-Chun Chang, Chun-Shien Lu +2
Deep neural networks are highly vulnerable to adversarial examples, which are inputs with small, carefully crafted perturbations that cause misclassification -- making adversarial…
A Multi-task Adversarial Attack Against Face Authentication
Hanrui Wang, Shuo Wang, Cunjian Chen +2
Deep-learning-based identity management systems, such as face authentication systems, are vulnerable to adversarial attacks. However, existing attacks are typically designed for si…