Satoshi Tsutsui
Scholar

Satoshi Tsutsui

Google Scholar ID: tiXMNRIAAAAJ
Nanyang Technological University
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
897
 
H-index
13
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Contact
CVOpen ↗TwitterOpen ↗GitHubOpen ↗
Publications
4 items
Learning Through Little Eyes: Attribute Discrimination Beyond Objects
2025
Cited
0
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data
2025
Cited
0
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
2025
Cited
0
Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning
2025
Cited
0
Resume (English only)
Academic Achievements
  • - Published paper 'Discovering Hidden Visual Concepts Beyond Linguistic Input in Infant Learning' at IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025.
  • - Published paper 'Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data' at IEEE Transactions on Medical Imaging.
  • - Published paper 'Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion Models' at ACM International Conference on Multimedia (ACMMM) 2024.
  • - Published paper 'Integrating Clinical Knowledge into Concept Bottleneck Models' at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024.
  • - Published paper 'Delocate: Detection and Localization for Deepfake Videos with Randomly-Located Tampered Traces' at International Joint Conference on Artificial Intelligence (IJCAI) 2024.
Research Experience
  • - Postdoctoral Research Fellow at Nanyang Technological University, Singapore, September 2022 - Present. Mentor: Bihan Wen; Lab Director: Alex Kot.
  • - Postdoctoral Research Fellow at National University of Singapore, December 2021 - September 2022. Mentor: Mike Shou.
  • - Research Intern at Facebook, USA, December 2020 - June 2021. Mentors: Ruta Desai and Karl Ridgeway. Worked on developing visual perception algorithms for AR/VR devices.
  • - Visiting Ph.D. Student at Fudan University, China, May 2019 - August 2019. Mentor: Yanwei Fu. Worked on few-shot visual recognition.
  • - Visiting Ph.D. Student at Peking University, China, May 2018 - August 2018. Mentor: Liangcai Gao. Worked on computer vision for medical images.
  • - Research Intern at Preferred Networks, Japan, May 2017 - August 2017. Mentors: Tommi Kerola and Shunta Saito. Worked on developing semantic segmentation algorithms for autonomous driving.
Education
  • - Ph.D., School of Informatics, Computing, and Engineering, Indiana University, USA, 2021. Dissertation: Rethinking the Role of Training Data for Computer Vision: Scientific Studies of Egocentric Vision. Advisors: David Crandall (chair) and Chen Yu (committee member).
  • - M.S., School of Informatics, Computing, and Engineering, Indiana University, USA, 2017. Advisor: Ying Ding.
  • - B.E., Faculty of Science and Technology, Keio University, Japan, 2015.
Background
  • Research Interests: computer vision, particularly how to teach computers to see like humans. Focuses on unique data types such as wearable camera footage of infants.
Miscellany
  • Personal Website: https://skylerhallinan.com/
  • Google Scholar: https://scholar.google.com/citations?user=tiXMNRIAAAAJ&hl=en
  • Email: satoshi.tsutsui [at] ntu.edu.sg
  • GitHub: https://github.com/apple2373
  • Twitter: https://twitter.com/satoshi2373
Co-authors
0 total
Co-authors: 0 (list not available)