Reina Ishikawa

Graduate student in the Hyper Vision Research Lab. of Keio Univ.

Reina Ishikawa is a first-year Ph.D. student in the Graduate School of Science and Technology at Keio University, under the supervision of Professor Hideo Saito. She is also a Research Associate (fixed-term, research incentive) at the university. Reina received her M.Sc. in Science and Technology from Keio University in 2023, where she mainly focused on two topics: soft object manipulation for arm robots and machine learning, and novel view synthesis using a focal stack for virtual and augmented reality (VR/AR) applications. After completing her master’s degree, she worked as an anime and game marketer at GREE Entertainment, Inc. in Japan from April 2023 to December 2023. Building upon this industry experience, Reina is pursuing her Ph.D. research, which focuses on “Assistance in Anime Production Using Generative AI.”

Publications

Journal

Multi-Layer Scene Representation from Composed Focal Stacks

Reina Ishikawa ,Hideo Saito, Denis Kalkofen and Shohei Mori,in IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 11, pp. 4719-4729, Nov. 2023, Best Journal Paper Award in ISMAR2023.
Learning by Breaking: Food Fracture Anticipation for Robotic Food Manipulation

Reina Ishikawa , Masashi Hamaya, Felix Von Drigalski, Kazutoshi Tanaka and Atsushi Hashimoto in IEEE Access, vol. 10, pp. 99321-99329, 2022
The CORSMAL Benchmark for the Prediction of the Properties of Containers

Alessio Xompero, Santiago Donaher, Vladimir Iashin, Francesca Palermo, Gökhan Solak, Claudio Coppola, Reina Ishikawa , Yuichi Nagao, Ryo Hachiuma, Qi Liu,Fan Feng, Chuanlin Lan, Rosa H. M. Chan, Guilherme Christmann,Jyun-ting Song, Gonuguntla Neeharika, Chinnakotla K. T. Reddy, Dinesh Jain, Bakhtawar Ur Rehman and Andrea cavallaro in IEEE Access, vol. 10, pp. 41388-41402, 2022
Audio-Visual Judgement of In-Play or Out-of-Play in Volleyball Match Videos

Reina Ishikawa , Ryo Hachiuma, Hideo Saito, Ryo Fujiwara and Shoji Yachida in IIEEJ Transactions on Image Electronics and Visual Computing, Vol.10, No.2, pp141-149, 2022
Self-Supervised Audio-Visual Feature Learning for Single-Modal Incremental Terrain Type Clustering

Reina Ishikawa , Ryo Hachiuma and Hideo Saito in IEEE Access, vol. 9, pp. 64346-64357, 2021

Conference

Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects

Rinto Yagawa, Reina Ishikawa , Masashi Hamaya, Kazutoshi Tanaka,Atsushi Hashimoto and Hideo Saito in 2023 IEEE International Conference on Robotics and Automation (ICRA), London, United Kingdom, 2023, pp. 917-923
Audio-Visual Judgement of In-Play or Out-of-Play in Volleyball Match Videos

Reina Ishikawa , Ryo Hachiuma, Hideo Saito, Ryo Fujiwara, and Shoji Yachida in The 7th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC 2021) (Oral)
Audio-Visual Hybrid Approach for Filling Mass Estimation

Reina Ishikawa✝ , Yuichi Nagao✝, Ryo Hachiuma, and Hideo Saito in Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, vol 12668. Springer
Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning

Reina Ishikawa , Ryo Hachiuma, Akiyoshi Kurobe and Hideo Saito in 2020 25th International Conference on Pattern Recognition (ICPR), 2021, pp. 9399-9406

Reina Ishikawa

Graduate student in the Hyper Vision Research Lab. of Keio Univ.

Education

Keio University, Kanagawa, Japan

Skills

Programming Language

Operating System

Software

Interactive Platform

Multimedia Design

Cooperative Research

NEC Corp.

TAKAMARU ENGINEERS CO.,LTD

OMRON SINIC X Corp.

Work Experience

Life is tech!

MTI Ltd.

OMRON SINIC X Corp.

GREE Entertainment, Inc.

Publications

Journal

Multi-Layer Scene Representation from Composed Focal Stacks

Learning by Breaking: Food Fracture Anticipation for Robotic Food Manipulation

The CORSMAL Benchmark for the Prediction of the Properties of Containers

Audio-Visual Judgement of In-Play or Out-of-Play in Volleyball Match Videos

Self-Supervised Audio-Visual Feature Learning for Single-Modal Incremental Terrain Type Clustering

Conference

Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects

Audio-Visual Judgement of In-Play or Out-of-Play in Volleyball Match Videos

Audio-Visual Hybrid Approach for Filling Mass Estimation

Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning