Daichi Azuma

According to our database, Daichi Azuma authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Answerability Fields: Answerable Location Estimation via Diffusion Models.

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

CoRR, 2024

CityNav: Language-Goal Aerial Navigation Dataset with Geographic Information.

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

CoRR, 2024

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

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

CoRR, 2024

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

Taiki Miyanishi, Daichi Azuma, Shuhei Kurita, Motoaki Kawanabe

Proceedings of the International Conference on 3D Vision, 2024

2023

Cross3DVG: Baseline and Dataset for Cross-Dataset 3D Visual Grounding on Different RGB-D Scans.

Taiki Miyanishi, Daichi Azuma, Shuhei Kurita, Motoaki Kawanabe

CoRR, 2023

2022

ScanQA: 3D Question Answering for Spatial Scene Understanding.

Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020

Dependable Parallel Multi-population Global-best Brain Storm Optimization with Differential Evolution strategies for Distribution System State Estimation using Just-in-time Modeling and Correntropy in Power Systems.

Daichi Azuma, Yoshikazu Fukuyama, Akihiro Oi, Toru Jintsugawa, Hisashi Fujimoto

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Parallel Multi-population Improved Brain Storm Optimization with Differential Evolution strategies for State Estimation in Distribution Systems using Just in Time Modeling and Correntropy.

Daichi Azuma, Yoshikazu Fukuyama, Akihiro Oi, Toru Jintsugawa, Hisashi Fujimoto

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

2018

Modified Brain Storm Optimization for Load Adjustment Distribution State Estimation Using Correntropy.

Daichi Azuma, Yoshikazu Fukuyama, Toru Jintsugawa, Hisashi Fujimoto, Tetsuro Matusi

Proceedings of the TENCON 2018, 2018