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  1. Article

    Guest Editorial: Special Issue on ACCV 2022

    Lei Wang, Juergen Gall, Tat-Jun Chin in International Journal of Computer Vision (2024)

  2. Article

    Open Access

    Matching Compound Prototypes for Few-Shot Action Recognition

    The task of few-shot action recognition aims to recognize novel action classes using only a small number of labeled training samples. How to better describe the action in each video and how to compare the simi...

    Yifei Huang, Li** Yang, Guo Chen in International Journal of Computer Vision (2024)

  3. Article

    Open Access

    DualSmoke: Sketch-based smoke illustration design with two-stage generative model

    The dynamic effects of smoke are impressive in illustration design, but it is a troublesome and challenging issue for inexpert users to design smoke effects without domain knowledge of fluid simulations. In th...

    Haoran **e, Keisuke Arihara, Syuhei Sato, Kazunori Miyata in Computational Visual Media (2024)

  4. No Access

    Article

    Sea urchin survey system in coastal areas using a μ-ASV

    Currently, the phenomenon of ocean desertification, known as rocky shore denudation, is occurring all over the world. One of the causes is the feeding damage by sea urchins on seaweed beds called seagrass beds...

    Makoto Morito, Junichiro Tahara, Kouki Yoshimura in Artificial Life and Robotics (2024)

  5. No Access

    Chapter and Conference Paper

    Can Machines and Humans Use Negation When Describing Images?

    Can negation be depicted? It has been claimed in various areas, including philosophy, cognitive science, and AI, that depicting negation through visual expressions such images and pictures is challenging. Rece...

    Yuri Sato, Koji Mineshima in Human and Artificial Rationalities (2024)

  6. No Access

    Chapter and Conference Paper

    Study on Sharing Health Guidance Contents Using Health Guidance Visualization System

    In Japan, “Specific Health Checkups” and “Specific Health Guidance” are implemented to prevent lifestyle-related diseases [1]. In the specific health guidance, health professionals (e.g., public health nurses and...

    Kaori Fujimura, Taiga Sano, Tae Sato in HCI International 2023 – Late Breaking Pos… (2024)

  7. No Access

    Chapter and Conference Paper

    Framework for Measuring the Similarity of Visual and Semantic Structures in Sign Languages

    Sign languages are visual languages used by deaf and hard of hearing communities worldwide. As sign languages have been manually designed in an optimal visual and semantic aspect, these two representations are...

    Matheus Silva de Lima, Ryota Sato, Erica K. Shimomoto in Frontiers of Computer Vision (2024)

  8. No Access

    Chapter and Conference Paper

    Enhancing the Parallel UC2B Framework: Approach Validation and Scalability Study

    Anomaly detection is a critical aspect of uncovering unusual patterns in data analysis. This involves distinguishing between normal patterns and abnormal ones, which inherently involves uncertainty. This paper...

    Zineb Ziani, Nahid Emad, Miwako Tsuji, Mitsuhisa Sato in Computational Science – ICCS 2024 (2024)

  9. No Access

    Chapter and Conference Paper

    QWalkVec: Node Embedding by Quantum Walk

    In this paper, we propose QWalkVec, a quantum walk-based node embedding method. A quantum walk is a quantum version of a random walk that demonstrates a faster propagation than a random walk on a graph. We foc...

    Rei Sato, Shuichiro Haruta, Kazuhiro Saito in Advances in Knowledge Discovery and Data M… (2024)

  10. Article

    Open Access

    Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey

    In this survey, we present a systematic review of 3D hand pose estimation from the perspective of efficient annotation and learning. 3D hand pose estimation has been an important research area owing to its pot...

    Takehiko Ohkawa, Ryosuke Furuta, Yoichi Sato in International Journal of Computer Vision (2023)

  11. Article

    Open Access

    Differentiable learning of matricized DNFs and its application to Boolean networks

    Boolean networks (BNs) are well-studied models of genomic regulation in biology where nodes are genes and their state transition is controlled by Boolean functions. We propose to learn Boolean functions as Boo...

    Taisuke Sato, Katsumi Inoue in Machine Learning (2023)

  12. No Access

    Article

    Attention-based neural network with Generalized Mean Pooling for cross-view geo-localization between UAV and satellite

    Cross-view geo-localization is finding images containing the same geographic target in multi-views. For example, given a query image from UAV view, a proposed matching model can find an exact image of the same...

    Duc Viet Bui, Masao Kubo, Hiroshi Sato in Artificial Life and Robotics (2023)

  13. No Access

    Chapter and Conference Paper

    Decoding Emotion Dimensions Arousal and Valence Elicited on EEG Responses to Videos and Images: A Comparative Evaluation

    This study aims to compare the automatic classification of emotions based on the self-reported level of arousal and valence with the Self-Assessment Manikin (SAM) when subjects were exposed to videos or images...

    Luis Alfredo Moctezuma, Kazuki Sato, Marta Molinas, Takashi Abe in Brain Informatics (2023)

  14. No Access

    Chapter and Conference Paper

    The Relationship Between Older Drivers’ Cognitive Ability and Takeover Performance in Conditionally Automated Driving

    In takeover process of conditionally automated driving, cognitive abilities, especially the executive function abilities, are found to play a significant role in driver’s performance. During the automated driv...

    Qijia Peng, Yanbin Wu, Toshihisa Sato in Human Aspects of IT for the Aged Population (2023)

  15. No Access

    Chapter and Conference Paper

    A Benchmark of Process Drift Detection Tools: Experimental Protocol and Statistical Analysis

    Business processes are sequences of activities performed to achieve a specific goal, e.g., applying a clinical protocol to a patient. Process mining provides tools and techniques for analyzing and enhancing bu...

    Caio Raduy, Denise M. V. Sato in Artificial Intelligence and Soft Computing (2023)

  16. No Access

    Chapter and Conference Paper

    Wearable Device Supporting Light/Dark Adaptation

    Human eyes maintain visual function by adapting to changes in brightness. There are two types of adaptation to changes in brightness. Light and dark adaptations occur when the surroundings become bright and da...

    Hiroki Sato, Ayumi Ohnishi, Tsutomu Terada in Advances in Mobile Computing and Multimedi… (2023)

  17. No Access

    Chapter and Conference Paper

    Temporal Graph Based Incident Analysis System for Internet of Things

    Internet-of-things (IoTs) deploy massive number of sensors to monitor the system and environment. Anomaly detection on sensor data is an important task for IoT maintenance and operation. In real applications, ...

    Peng Yuan, Lu-An Tang, Haifeng Chen in Machine Learning and Knowledge Discovery i… (2023)

  18. No Access

    Chapter and Conference Paper

    A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys

    This paper presents a new approach of data transformation and resampling for prediction of yield strength of high-entropy alloys (HEAs) at room temperature. Instead of directly predicting yield strength of HEA...

    Nguyen Hai Chau, Genki Sato, Kazuki Utsugi in Intelligent Information and Database Syste… (2023)

  19. No Access

    Chapter and Conference Paper

    RoboCup2022 KidSize League Winner CIT Brains: Open Platform Hardware SUSTAINA-OP and Software

    We describe the technologies of our autonomous soccer humanoid robot system that won the RoboCup2022 Humanoid KidSize League. For RoboCup2022, we developed both hardware and software. We developed a new hardwa...

    Yasuo Hayashibara, Masato Kubotera, Hayato Kambe in RoboCup 2022: Robot World Cup XXV (2023)

  20. No Access

    Chapter and Conference Paper

    Creating Trust Within Population of Evolutionary Computation in an Uncertain Environment Using Blockchain

    Various population-based optimization methods have been proposed following the development of evolutionary computation. Optimization is achieved through the interactions of many individuals in these systems. H...

    Hiroshi Sato, Masao Kubo in Artificial Intelligence for Communications and Networks (2023)

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