Keio University, Kanagawa, Japan

NEC Corp.

TAKAMARU ENGINEERS CO.,LTD

OMRON SINIC X Corp.

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