Daichi Azuma

Tokyo, Japan

daichi.azuma@weblab.t.u-tokyo.ac.jp

I am a Ph.D. student at the Matsuo-Iwasawa Laboratory, The University of Tokyo.

My research focuses on Embodied AI, at the intersection of 3D Computer Vision and Natural Language Processing. I aim to develop intelligent agents that can understand, navigate, and interact with the physical world through language and visual perception.

I am particularly interested in how multimodal learning and 3D scene understanding can enable such agents to reason and act effectively in complex environments.

news

Oct 08, 2024	As a working doctoral student, I will be enrolled Matsuo Lab at the University of Tokyo from April 2025.
Oct 07, 2024	We will be presenting at IROS2024 held in Abu Dhabi, UAE at October 14-18, 2024. ThPI5T9.7, 10/17 15:30~16:30: Map-Based Modular Approach for Zero-Shot Embodied Question Answering FrAT12.2, 10/18 10:15~10:30: Answerability Fields: Answerable Location Estimation Via Diffusion Models
Aug 08, 2024	We will be presenting at 日本ロボット学会学術講演会（RSJ2024） held in Osaka at September 6, 2024. 3D1-04: 基盤モデルと地図モジュールを用いたゼロショットロボット質問応答の実現
Aug 07, 2024	We will be presenting a poster at MIRU2024 at August 9, 2024. IS-3-137: 実世界質問応答のための拡散モデルを用いた回答可能位置の予測

publications

CityNav: Language-Goal Aerial Navigation Dataset with Geographic Information

Jungdae Lee, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo, and Nakamasa Inoue

In , 2024

arXiv PROJECT PAGE Code

IROS2024/Oral

Answerability Fields: Answerable Location Estimation via Diffusion Models

Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, and Motoaki Kawanabe

In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

arXiv Bib

@inproceedings{azuma_2024_IROS,
  title = {Answerability Fields: Answerable Location Estimation via Diffusion Models},
  author = {Azuma, Daichi and Miyanishi, Taiki and Kurita, Shuhei and Sakamoto, Koya and Kawanabe, Motoaki},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2024},
}

IROS2024

Map-based Modular Approach for Zero-shot Embodied Question Answering

Koya Sakamoto, Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, and Motoaki Kawanabe

In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

arXiv Bib PROJECT PAGE Code

@inproceedings{sakamoto_2024_IROS,
  title = {Map-based Modular Approach for Zero-shot Embodied Question Answering},
  author = {Sakamoto, Koya and Azuma, Daichi and Miyanishi, Taiki and Kurita, Shuhei and Kawanabe, Motoaki},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year = {2024},
}

3DV2024

Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans

Taiki Miyanishi, Daichi Azuma, Shuhei Kurita, and Motoaki Kawanabe

In The 10th International Conference on 3D Vision (3DV), 2024

arXiv Bib Code

@inproceedings{miyanishi_2024_3DV,
  title = {Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans},
  author = {Miyanishi, Taiki and Azuma, Daichi and Kurita, Shuhei and Kawanabe, Motoaki},
  booktitle = {The 10th International Conference on 3D Vision (3DV)},
  year = {2024},
}

CVPR2022/Oral

ScanQA: 3D Question Answering for Spatial Scene Understanding

Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, and Motoaki Kawanabe

In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

arXiv Bib PDF Code

@inproceedings{azuma_2022_CVPR,
  title = {ScanQA: 3D Question Answering for Spatial Scene Understanding},
  author = {Azuma, Daichi and Miyanishi, Taiki and Kurita, Shuhei and Kawanabe, Motoaki},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
  google_scholar_id = {u5HHmVD_uO8C},
}

achievements

International Conference

Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto and Motoaki Kawanabe, “Answerability Fields: Answerable Location Estimation via Diffusion Models”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2024), 2024.
Koya Sakamoto, Daichi Azuma, Taiki Miyanishi, Shuhei Kurita and Motoaki Kawanabe, “Map-based Modular Approach for Zero-shot Embodied Question Answering”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2024), 2024.
Taiki Miyanishi, Daichi Azuma, Shuhei Kurita and Motoaki Kawanabe, “Cross3DVG: Cross-Dataset 3D Visual Grounding on Different RGB-D Scans”, International Conference on 3D Vision 2024 (3DV2024), 2024.
Daichi Azuma*, Taiki Miyanishi*, Shuhei Kurita* and Motoaki Kawanabe, “ScanQA: 3D Question Answering for Spatial Scene Understanding”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2022), pages 19129-19139, New Orleans, 2022. *: Equally contributed.

Local Conference

基盤モデルと地図モジュールを用いたゼロショットロボット質問応答の実現, 第42回日本ロボット学会学術講演会　（RSJ2024）,大阪, 2024.9, 坂本滉也, 東大地, 宮西大樹, 栗田修平, 川鍋一晃
実世界質問応答のための拡散モデルを用いた回答可能位置の予測, 第27回画像の認識・理解シンポジウム（MIRU2024）,熊本, 2024.8, 東大地, 宮西大樹, 栗田修平, 坂本滉也, 川鍋一晃
異なるRGB-Dスキャンを用いたデータセット横断3D言語接地, 2023年度人工知能学会全国大会（第37回）,熊本, 2023.6 宮西大樹, 東大地, 栗田修平, 川鍋一晃
屋内環境の意味的理解に向けた3次元質問応答, 第25回画像の認識・理解シンポジウム（MIRU2022）,兵庫, 2022.7, 東大地, 宮西大樹, 栗田修平, 川鍋一晃

Invited Talks

ScanQA: 3D Question Answering for Spatial Scene Understanding. MIRU2022. Daichi Azuma, Taiki Miyanishi, Shuhei Kurita and Motoaki Kawanabe

Academic Services

IROS2024 Reviewer
ACL ARR Reviewer
ICCV Reviewer