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About Me😆

I'm Kento Doi, a PhD student at the University of Tokyo, RA at AIST. I'm interested in computer vision and machine learning.

  • 👁‍🗨 I'm currently working on change detection/captioning projects
  • 💻 Python / git / Vim / LaTex / Markdown
  • ⌨️ I'm enjoying AtCoder
  • 🤸‍♂️ I was a gymnast when I was an undergraduate

Publications

Conference Papers

  • Kento Doi, Ken Sakurada, Masaki Onishi, and Akira Iwasaki. "GAN-Based SAR-to-Optical Image Translation with Region Information", in Proc. of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 2069-2072, Sept. 2020.

Journal Papers

  • Kento Doi, Ryuhei Hamaguchi, Yusuke Iwasawa, Masaki Onishi, Yutaka Matsuo, and Ken Sakurada, "Detecting Object-Level Scene Changes with Viewpoint Difference using Graph Matching", Remote Sensing, 14(17):4225, 2022.
  • Zhaoxiang Zhang, Kento Doi, Akira Iwasaki, and Guodong Xu, "Unsupervised Domain Adaptation of High-Resolution Aerial Images via Correlation Alignment and Self Training", IEEE Geoscience and Remote Sensing Letters, Apr. 2020.
  • Shota Iino, Riho Ito, Kento Doi, Tomoyuki Imaizumi, and Syuhei Hikosaka, "CNN-based generation of high-accuracy urban distribution maps utilising SAR satellite imagery for short-term change monitoring", International Journal of Image and Data Fusion, Vol. 9, No. 4, pp. 302-318, Jul. 2018.

Awards/Grants

  • MIRU Excellent Paper Award, The 25th Meeting on Image Recognition and Understanding (MIRU2022), 28 July 2022.
  • Toyota/Dwango Scholarship for Advanced Artificial Intelligence Researcher, Apr. 2020 - Mar. 2021.

Stats

Anurag's GitHub stats

Kento Doi's Projects

imagecaptioning.pytorch icon imagecaptioning.pytorch

Image captioning codebase in pytorch(self-critical training and more advanced features are under my self-critical.pytorch repository (worth checking).)

mccformers.pytorch icon mccformers.pytorch

Unofficial implementation of MCCFormers proposed in the paper: escribing and Localizing Multiple Changes with Transformers.

object_level_cd icon object_level_cd

Source code for the project page of our object-level change detection method.

pca-gm icon pca-gm

Code for ICCV 2019 oral paper: Learning Combinatorial Embedding Networks for Deep Graph Matching

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sat_gan icon sat_gan

The repository for unsupervised learning of SAT dataset

socd_tools icon socd_tools

Tools for Synthesized Object-Level Change Detection dataset.

stnbhwd icon stnbhwd

Modules for spatial transformer networks (BHWD layout)

svox2 icon svox2

Plenoxels: Radiance Fields without Neural Networks

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