Scholar

Shunta Saito

Google Scholar ID: hb8E5psAAAAJ

Preferred Networks, Inc.

Computer VisionMachine LearningDeep LearningArtificial Intelligence

Citations & Impact

All-time

Citations

1,414

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

1 items

2025

Cited

Resume (English only)

Academic Achievements

Publications:
- 'Train Sparsely, Generate Densely: Memory-Efficient Unsupervised Training of High-Resolution Temporal GAN', International Journal of Computer Vision (IJCV), 2020
- 'Seamline Determination Based on Semantic Segmentation for Aerial Image Mosaicking', IEEE Access, 2015
- 'Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks', Journal of Imaging Science and Technology, 2015
Conference Papers:
- 'Joint Search of Data Augmentation Policies and Network Architectures', AAAI workshop 2021 (W17: Learning Network Architecture during Training)
- 'Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score', Asian Conference on Computer Vision (ACCV), 2020
- 'Chainer: a Deep Learning Framework for Accelerating the Research Cycle'

Research Experience

2016.9 - Present - Researcher at Preferred Networks, Inc., Research for computer vision applications and deep learning framework (Chainer) development
2016.2 - 2016.8 - Software Engineer (Contractor) at Facebook, Inc., Conducted research on large-scale machine learning applications
2015.4 - 2016.2 - Researcher at Keio Leading-edge Laboratory, Conducted research on vision-based object detection for personal robots
2013.6 - 2014.5 - Visiting student researcher at University of California, Berkeley, Conducted research on environment recognition for guide robots for visually impaired people

Education

2016.3 - Ph.D in Engineering, Graduate School of Science and Technology, Keio University
2012.4 - 2015.3 - Ph.D student, Graduate School of Science and Technology, Keio University
2012.3 - Master of Science in Engineering, Graduate School of Science and Technology, Keio University
2010.3 - Bachelor of Engineering, Department of Electronics and Electrical Engineering, Faculty of Science and Technology, Keio University

Background

Research Interest: Improving the performance of convolutional neural networks on computer vision tasks, e.g., image recognition, object detection, and semantic segmentation; Generative Adversarial Nets (GAN) for time-series data generation. Personal Background: Researcher at Preferred Networks, Inc. Kaggle Master.

Miscellany