Shuhei Kurita

(ja: 栗田修平)

Bio

Dr. Shuhei Kurita is an Assistant Professor at National Institute of Informatics and a Specially Appointed Associate Professor at Institute of Science Tokyo.
He obtained his PhD of Informatics from Kyoto University in 2019. His research interests include language modelings and visual foundation modelings, including vision, language and action modelings. He has a keen interest in developing language models with real world understandings and application to computer vision and robotics.

Contact: skurita at nii.ac.jp
My old email of shuhei.kurita at riken.jp expired at the end of March 2025.

Call for students

Our lab accepts new students in the informatics course of SOKENDAI. See this
総研大情報学コースで学生を受けいれております。こちらをお読みください

News

1, February, 2026

Our paper is accepted to ICRA2026!
Tomoya Yoshida, Shuhei Kurita, Taichi Nishimura, Shinsuke Mori, “Developing Vision-Language-Action Model from Egocentric Videos”, ICRA2026. arXiv

27, September, 2025

Our paper is accepted to ACMMM2025!
Mahiro Ukai, Shuhei Kurita, Nakamasa Inoue, “STATUS Bench: A Rigorous Benchmark for Evaluating Object State Understanding in Vision-Language Models”, ACMMM2025. paper

26, June, 2025

Three papers are accepted to ICCV2025!
Kanoko Goto, Takumi Hirose, Mahiro Ukai, Shuhei Kurita, Nakamasa Inoue, “Referring Expression Comprehension for Small Objects”, paper.
Jungdae Lee, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo and Nakamasa Inoue, “CityNav: A Large-Scale Dataset for Real-World Aerial Navigation”, paper.
Shunsuke Yasuki, Taiki Miyanishi, Nakamasa Inoue, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Masato Taki, Yutaka Matsuo, “GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields”, paper.

17, June, 2025

Our paper is accepted to IROS2025!
Yuta Irisawa, Tomoaki Yamazaki, Seiya Ito, Shuhei Kurita, Ryota Akasaka, Masaki Onishi, Kouzou Ohara, Ken Sakurada, “Low-Latency Privacy-Aware Robot Behavior guided by Automatically Generated Text Datasets”, IROS2025. paper.

8, March, 2025

Our paper is accepted to CVPR2025 Highlight!
Tomoya Yoshida, Shuhei Kurita, Taichi Nishimura, Shinsuke Mori, “Generating 6DoF Object Manipulation Trajectories from Action Description in Egocentric Vision”, CVPR2025. project, arXiv.

23, January, 2025

Two papers are accepted to NAACL2025!
Eri Onami, Taiki Miyanishi, Koki Maeda, Shuhei Kurita, “LegalViz: Legal Text Visualization by Text To Diagram Generation”, paper.
Keito Sasagawa, Koki Maeda, Issa Sugiura, Shuhei Kurita, Naoaki Okazaki, Daisuke Kawahara, “Constructing Multimodal Datasets from Scratch for Rapid Development of a Japanese Visual Language Model”, paper.

30, June, 2024

Two papers are accepted to IROS2024!
Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto and Motoaki Kawanabe Answerability Fields: Answerable Location Estimation via Diffusion Models, IROS 2024.
Koya Sakamoto, Daichi Azuma, Taiki Miyanishi, Shuhei Kurita and Motoaki Kawanabe, Map-based Modular Approach for Zero-shot Embodied Question Answering, IROS 2024.

21, Feb., 2024

Two papers are accepted to LREC-COLING2024!
Eri Onami, Shuhei Kurita, Taiki Miyanishi, Taro Watanabe, JDocQA: Japanese Document Question Answering Dataset for Generative Language Models
Chieko Nishimura, Shuhei Kurita and Yohei Seki, Text360Nav: 360-Degree Image Captioning Dataset for Urban Pedestrians Navigation

8, Oct., 2023

Two papers are accepted to EMNLP2023 findings!
Koki Maeda, Shuhei Kurita, Taiki Miyanishi, Naoaki Okazaki,
Query-based Image Captioning from Multi-context 360° Images
Shunya Kato, Shuhei Kurita, Chenhui Chu, Sadao Kurohashi,
ARKitSceneRefer: Text-based Localization of Small Objects in Diverse Real-World 3D Indoor Scenes

22, Seq., 2023

Our paper is accepted to NeurIPS2023 Datasets and Benchmarks track!
Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue,
CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data

20, July, 2023

Our paper is accepted to ICCV2023!
RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D
Shuhei Kurita, Naoki Katsura and Eri Onami
Update: [arXiv paper] [code] available!

1, April, 2023

I become a research scientist in the RIKEN-AIP LIAT team, Japan.

1, Feb., 2023

We will obtain JSPS Fund for the Promotion of Joint International Research (Fostering Joint International Research(A)) (科研費 国際共同研究強化(A))from Japan, starting from April, 2023!

10, Oct., 2022

We will make the follwing two presentations at COLING2022 conference!

  • Shuhei Kurita, Hiroki Ouchi, Kentaro Inui and Satoshi Sekine Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling.
  • Keisuke Shirai, Atsushi Hashimoto, Taichi Nishimura, Hirotaka Kameko, Shuhei Kurita, Yoshitaka Ushiku and Shinsuke Mori Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows.

Thank you to my co-authors!!

2, Mar., 2022

Our paper is accepted to CVPR2022!
ScanQA: 3D Question Answering for Spatial Scene Understanding
Daichi Azuma(*), Taiki Miyanishi(*), Shuhei Kurita(*), Motoaki Kawanabe.
(*): equally contributed
Thank you to my co-authors!!

1, Mar., 2022

My research grant proporal for JSPS Grant-in-Aid for Young Scientists in Japan is acceped!

26, Aug., 2021

Our paper is accepted to EMNLP2021 Findings!
Co-Teaching Student-Model through Submission Results of Shared Task
Kouta Nakayama, Shuhei Kurita, Akio Kobayashi, Yukino Baba and Satoshi Sekine.

12, Jan., 2021

Our paper at NYU visiting with Prof. Kyunghyun Cho is accepted to ICLR2021!
Shuhei Kurita and Kyunghyun Cho
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes’ Rule. OpenReview

24, Nov., 2020

I am selected as a JST PRESTO “Trustworthy AI” reseach project member from December!
(~3.5 years, ~40M yens.)
I will delightedly work with many researchers in and out of PRESTO!

9, Jan., 2020

Thank you for Prof. Kyunghyun Cho and many NYU people, I start my co-working with Cho at NYU from this January. If you are at NYU or NY, I’m so happy to work with you. Feel free to reach me!

2, Oct., 2019

Our paper “Reconstructing neuronal circuitry from parallel spike trains” has been published from Nature Communications! Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond & Shigeru Shinomoto.
[paper](https://www.nature.com/articles/s41467-019-12225-2](https://www.nature.com/articles/s41467-019-12225-2)

14, May, 2019

Our paper “Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies,” (Long) has been accepted to ACL2019!
[paper](https://www.aclweb.org/anthology/P19-1232/](https://www.aclweb.org/anthology/P19-1232/)

1, April, 2019

I received Ph.D. of Informatics from Kyoto University on March 25, 2019! Now I join the Center for Advanced Intelligence Project, RIKEN, Nihombashi, Tokyo with Prof. Satoshi Sekine. I am adapted to JST ACT-I Research Projects Acceleration Phase (2019.4-2021.3).

Publications

Publications

CV

CV