World's Best Scientists 2026 revealed!
Toshihiko Yamasaki

Toshihiko Yamasaki

D-Index & Metrics

Computer Science

D-Index
36
Citations
6506
World Ranking
11143
National Ranking
165

Overview

Toshihiko Yamasaki is affiliated with the University of Tokyo in Japan. Their research contributions are primarily in the field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Cognitive Neuroscience, and Computational Mechanics.

The scientist's work spans a variety of main research topics including:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Image Retrieval and Classification Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods

Yamasaki has published extensively, with a notable presence in venues such as:

  • arXiv (Cornell University)
  • IEEE Access
  • IEICE Transactions on Information and Systems
  • Multimedia Tools and Applications
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers illustrate a focus on image and video processing challenges, including:

  • "Detecting Deepfakes with Self-Blended Images" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software" (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Learning From Synthetic Shadows for Shadow Detection and Removal" (2020), in IEEE Transactions on Circuits and Systems for Video Technology
  • "An Improved Inter-Intra Contrastive Learning Framework on Self-Supervised Video Representation" (2022), IEEE Transactions on Circuits and Systems for Video Technology
  • "Learning Where to Learn in Cross-View Self-Supervised Learning" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist frequently collaborates with several co-authors, including:

  • Xueting Wang
  • Hiroshi Kera
  • Soichiro Kumano
  • Subhajit Chaudhury
  • Ling Xiao

Best Publications

  • Sketch-based manga retrieval using manga109 dataset

    Yusuke Matsui;Kota Ito;Yuji Aramaki;Toshihiko Yamasaki

  • Sketch-based Manga Retrieval using Manga109 Dataset

    Yusuke Matsui;Kota Ito;Yuji Aramaki;Toshihiko Yamasaki

  • Joint Optimization Framework for Learning with Noisy Labels

    Daiki Tanaka;Daiki Ikami;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation

    Naoto Inoue;Ryosuke Furuta;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Efficient retrieval of life log based on context and content

    Kiyoharu Aizawa;Datchakorn Tancharoen;Shinya Kawasaki;Toshihiko Yamasaki

  • Manga109 dataset and creation of metadata

    Azuma Fujimoto;Toru Ogawa;Kazuyoshi Yamamoto;Yusuke Matsui

  • FoodLog: capture, analysis and retrieval of personal food images via web

    Keigo Kitamura;Toshihiko Yamasaki;Kiyoharu Aizawa

  • PixelRL: Fully Convolutional Network With Reinforcement Learning for Image Processing

    Ryosuke Furuta;Naoto Inoue;Toshihiko Yamasaki

  • Food log by analyzing food images

    Keigo Kitamura;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Practical experience recording and indexing of Life Log video

    Datchakorn Tancharoen;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Affective Audio-Visual Words and Latent Topic Driving Model for Realizing Movie Affective Scene Classification

    G Irie;T Satou;A Kojima;T Yamasaki

  • Joint Optimization Framework for Learning with Noisy Labels

    Daiki Tanaka;Daiki Ikami;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Mask-SLAM: Robust Feature-Based Monocular SLAM by Masking Using Semantic Segmentation

    Masaya Kaneko;Kazuya Iwami;Torn Ogawa;Toshihiko Yamasaki

  • Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software

    Satoshi Kosugi;Toshihiko Yamasaki

  • Image-based indoor positioning system: fast image matching using omnidirectional panoramic images

    Hisato Kawaji;Koki Hatada;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Analog soft-pattern-matching classifier using floating-gate MOS technology

    T. Yamasaki;T. Shibata

  • Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework

    Li Tao;Xueting Wang;Toshihiko Yamasaki

  • Time-Varying Mesh Compression Using an Extended Block Matching Algorithm

    Seung-Ryong Han;T. Yamasaki;K. Aizawa

  • Learning From Synthetic Shadows for Shadow Detection and Removal

    Naoto Inoue;Toshihiko Yamasaki

  • Evaluation of video summarization for a large number of cameras in ubiquitous home

    Gamhewage C. de Silva;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Multi-label Fashion Image Classification with Minimal Human Supervision

    Naoto Inoue;Edgar Simo-Serra;Toshihiko Yamasaki;Hiroshi Ishikawa

  • Determination of emotional content of video clips by low-level audiovisual features: A dimensional and categorial experimental approach

    René Marcelino Abritta Teixeira;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Efficient Optimization of Convolutional Neural Networks Using Particle Swarm Optimization

    Toshihiko Yamasaki;Takuto Honma;Kiyoharu Aizawa

  • Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework

    Li Tao;Xueting Wang;Toshihiko Yamasaki

Frequent Co-Authors

Kiyoharu Aizawa
Kiyoharu Aizawa University of Tokyo
Tsuhan Chen
Tsuhan Chen Cornell University
Andrew C. Gallagher
Andrew C. Gallagher Google (United States)
Tao Mei
Tao Mei Jingdong (China)
Brian Price
Brian Price Adobe Systems (United States)
Wenjun Zeng
Wenjun Zeng Microsoft (United States)
Roger Zimmermann
Roger Zimmermann National University of Singapore
Ja-Ling Wu
Ja-Ling Wu National Taiwan University

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