Satoshi Tsutsui

I am Satoshi Tsutsui, a Ph.D. candidate at School of Informatics, Computing, and Engineering, Indiana University, USA. I have been a Ph.D. student from 2015 Fall. I am very fortunate to work with Prof. David Crandall (advisor; committee chair) and Prof. Chen Yu.

• Here is my formal resume
• Google Scholar: https://scholar.google.com/citations?user=tiXMNRIAAAAJ&hl=en
• E-Mail:
• Github: https://github.com/apple2373
• Twitter: https://twitter.com/satoshi2373

I am broadly interested in computer vision. Can we teach computers how to see as we do? This is a very challenging area of research, but it is also a very fun topic to work on! I have some experiences in object recognition, object detection, semantic segmentation, image captioning, few-shot learning, and first person vision. Please check my papers for the details.

I am also interested in deep learning, as a powerful tool for computer vision.

In the past, I have worked on: literature mining on Alzheimer’s disease, graph/network mining, semantic web, and linked data. 

Publications

• Satoshi Tsutsui, Yanwei Fu, David Crandall. (2021). Whose hand is this? Person Identification from Egocentric Hand Gestures. Winter Conference on Applications of Computer Vision (WACV). (First round acceptance).
  [arXiv] [PDF] [Video]
• Satoshi Tsutsui, Arjun Chandrasekaran, Md Reza, David Crandall, Chen Yu. (2020). A Computational Model of Early Word Learning from the Infant's Point of View. Annual Conference of the Cognitive Science Society (CogSci). (Oral Acceptance Rate = 177/811 = 22%).
  [arXiv] [PDF] [Video]
• Satoshi Tsutsui, Yanwei Fu, David Crandall. (2019). Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition. Advances in Neural Information Processing Systems (NeurIPS). (Poster Acceptance Rate = 1428/6743 = 21%).
  [URL] [arXiv] [PDF] [Project Page] [Code]
• Satoshi Tsutsui, Dian Zhi, Md Reza, David Crandall, Chen Yu. (2019). Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study. International Workshop on Egocentric Perception, Interaction and Computing (EPIC), In conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (Extended Abstract).
  [arXiv] [PDF]
• Zheng Gao, Gang Fu, Chunping Ouyang, Satoshi Tsutsui, Xiaozhong Liu, Jeremy Yang, Christopher Gessner, Brian Foote, David Wild, Ying Ding. (2019). edge2vec: Representation Learning Using Edge Semantics for Biomedical Knowledge Discovery. BMC Bioinformatics. 20(1), 306. (Impact Factor = 3.213).
  [URL] [arXiv] [PDF]
• Satoshi Tsutsui, Zheng Gao, Yuzhuo Wang, Guilin Meng, Ying Ding. (2018). A case study on viziometrics: What's the role of western blots in Alzheimer's Disease literature?. iConference. (Poster).
  
• Satoshi Tsutsui, Tommi Kerola, Shunta Saito, David Crandall. (The first three authors have equal contribution). (2018). Minimizing Supervision for Free-space Segmentation. Workshop on Autonomous Driving (WAD), In conjunction with the Conference on Computer Vision and Pattern Recognition (CVPR).
  [URL] [arXiv] [PDF] [Code]
• Satoshi Tsutsui, Sven Bambach, David Crandall, Chen Yu. (2018). Estimating head motion from egocentric vision. ACM International Conference on Multimodal Interaction (ICMI).
  [URL] [PDF]
• Ting-Ting Liang, Mengyan Sun, Liangcai Gao, Jing-Jing Lu, Satoshi Tsutsui. (2018). APNet: semantic segmentation for pelvic MR image. Chinese Conference on Pattern Recognition and Computer Vision (PRCV).
  [URL] [arXiv] [PDF]
• Satoshi Tsutsui, David Crandall. (2017). A data driven approach for compound figure separation using convolutional neural networks. IAPR International Conference on Document Analysis and Recognition (ICDAR). (Oral Acceptance Rate = 52/409 = 13%).
  [URL] [arXiv] [PDF] [Project Page] [Code]
• Satoshi Tsutsui, Guilin Meng, Xiaohui Yao, David Crandall, Ying Ding. (2017). Analyzing Figures of Brain Images from Alzheimer's Disease Papers. iConference. (Poster).
  
• Satoshi Tsutsui, David Crandall. (2017). Using artificial tokens to control languages for multilingual image caption generation. Language and Vision Workshop, In conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (Extended Abstract).
  [arXiv] [PDF] [Project Page] [Code]
• Satoshi Tsutsui, Tommi Kerola, Shunta Saito. (2017). Distantly supervised road segmentation. Workshop on Computer Vision for Road Scene Understanding and Autonomous Driving (CVRSUAD), In conjunction with the IEEE International Conference on Computer Vision (ICCV).
  [URL] [arXiv] [PDF]
• Baitong Chen, Satoshi Tsutsui, Ying Ding, Feicheng Ma. (2017). Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval. Journal of Informetrics. 11(4), 1175-1189. (Impact Factor = 3.879).
  [URL]
• Satoshi Tsutsui, Ying Ding, Guilin Meng. (2016). Machine reading approach to understand Alzheimer's disease literature. International Workshop on Data and Text Mining in Biomedical Informatics (DTMBIO), In conjunction with the ACM Conference on Information and Knowledge Management (CIKM).
  [PDF]

Education

September 2015 - Present: Indiana University, Bloomington, Indiana, USA

• Master of Science in Data Science, May 2017
• Phd Student at School of Informatics, Computing, and Engineering
• GPA: 3.96 / 4.0

April 2011 - March 2015: Keio University, Japan

• Bachelor of Engineering in Administration Engineering, March 2015
• Major: Computer Science
• Overall GPA: 3.96 / 4.0, Subject GPA: 3.96 / 4.0 - Ranked No.1 among 117 students in the department.
• Research Adviser: Professor Takahira Yamaguchi.