Reina Ishikawa

According to our database, Reina Ishikawa authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation.

Reina Ishikawa, Ryo Fujii, Hideo Saito, Ryo Hachiuma

CoRR, September, 2025

2024

Harmonic Tutte polynomials of matroids II.

Thomas Britz, Himadri Shekhar Chakraborty, Reina Ishikawa, Tsuyoshi Miezaki, Hopein Christofen Tang

Des. Codes Cryptogr., May, 2024

Jacobi polynomials and design theory II.

Himadri Shekhar Chakraborty, Reina Ishikawa, Yuuho Tanaka

Discret. Math., March, 2024

2023

Multi-Layer Scene Representation from Composed Focal Stacks.

Reina Ishikawa, Hideo Saito, Denis Kalkofen, Shohei Mori

IEEE Trans. Vis. Comput. Graph., November, 2023

Exceptional designs in some extended quadratic residue codes.

Reina Ishikawa

CoRR, 2023

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

Rinto Yagawa, Reina Ishikawa, Masashi Hamaya, Kazutoshi Tanaka, Atsushi Hashimoto, Hideo Saito

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Harmonic Tutte polynomials of matroids II.

Thomas Britz, Himadri Shekhar Chakraborty, Reina Ishikawa, Tsuyoshi Miezaki

CoRR, 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 Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro

IEEE Access, 2022

Learning by Breaking: Food Fracture Anticipation for Robotic Food Manipulation.

Reina Ishikawa, Masashi Hamaya, Felix Von Drigalski, Kazutoshi Tanaka, Atsushi Hashimoto

IEEE Access, 2022

2021

Multi-modal estimation of the properties of containers and their content: survey and evaluation.

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 Henrique Galelli Christmann, Jyun-Ting Song, Gonuguntla Neeharika, Chinnakotla Krishna Teja Reddy, Dinesh Jain, Bakhtawar Ur Rehman, Andrea Cavallaro

CoRR, 2021

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

Reina Ishikawa, Ryo Hachiuma, Hideo Saito

IEEE Access, 2021

2020

Audio-Visual Hybrid Approach for Filling Mass Estimation.

Reina Ishikawa, Yuichi Nagao, Ryo Hachiuma, Hideo Saito

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

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

Reina Ishikawa, Ryo Hachiuma, Akiyoshi Kurobe, Hideo Saito

Proceedings of the 25th International Conference on Pattern Recognition, 2020