| Year | Title | Author |
|---|
| 2005 | Extracting go game positions from photographs | Teemu Hirsimäki |
| 2005 | Image Processing using Genetic Algorithm for Accurate Extraction of Go-coordinates and Automatic Generation of Go-record | Kojiro Shiba, Shogo Nishi, Kunihiko Mori |
| 2005 | Automatic Go-record System using Image Processing | Kojiro Shiba, Tamotsu Furuya, Shogo Nishi, Kunihiko Mori |
| 2006 | 囲碁の棋譜認識 | 久連石 圭, 鳥海 不二夫, 石井 健一郎 |
| 2006 | Automatic Record of IGO Game by Image Processing | Tadao Fukuyama, Takahiro Ogisu, Jim Woo Kim, Okazaki Kozo |
| 2006 | Automatic "Go" record generation from a TV program | Keiji Yanai, Takehisa Hayashiyama |
| 2007 | Automatic Extraction Of Go Game Positions From Images: A Multi-Strategical Approach to Constrained Multi-Object Recognition | Alexander K. Seewald |
| 2008 | Making real games virtual: Tracking board game pieces | Steven Scher, Ryan Crabb, James Davis |
| 2012 | 囲碁画像認識プログラムの作成 | Ideo Matsuda, Youichi Koshida, Yoshio Nakashima, Takashi Miyagoshi |
| 2012 | An application for the game of Go: Automatic live Go recording and searchable Go database | A. Srisuphab, P. Silapachote, Tanapoj Chaivanichanan, Wiracha Ratanapairojkul, Wisallaya Porncharoensub |
| 2014 | CHT-based Automatic Go Recording System under Illumination Change and Stone Dislocation | Dongjin Park, Kyungkoo Jun |
| 2015 | A New Approach to an Old Problem: The Reconstruction of a Go Game through a Series of Photographs | Mario Corsolini, Andrea Carta |
| 2017 | Recognition of Go Game Positions using Obstacle Analysis and Background Update | Min-Seong Kim, Yeo-Kyung Yoon, Kwang-Jin Rhee, Yun-Gu Lee |
| 2018 | A Robust Algorithm for Go Image Recognition in Go Game | Jie Song, Shanshan Li |
| 2020 | Real-time Go Recording System in Embedded Environment for Real Match | Seo, WonSeoung, and Jung, Keechul |
| 2020 | Visual Image Processing of Humanoid Go Game Robot Based on OPENCV | Yongjie Gui, Yanyan Wu, Yajie Wang, Chunpeng Yao |
| 2021 | Reliable Go Game Images Recognition Under Strong Light Attack | Yiyao Zhuo, Han Fang, Kai Zhu, Hongchen Zhan |
| 2021 | Go Board Reconstruction from a Single Image | Amy Zhang |
| 2023 | Go-Game Image Recognition Based on Improved Pix2pix | Yanxia Zheng, Xiyuan Qian |
| 2023 | MHRN-ST: Go Board Recognition With Multi-stage Highlight Removal Network Based On Swin Transformer | Junxian Zhou, Yunhan Lin, Huasong Min |
| 2025 | Fast and Efficient Algorithm for Tibetan Jiu Chess Gameplay Data Collecting Based on Improved YOLOv8n Model | Xiali Li, Yuanli Jia, Junzhi Yu, Feifan He |
| 2025 | Go Game Capture and Reconstruction of Missing Moves Using Deep Learning Techniques | Roman Gerloff, Manja Marz, Florian Wahl |
