Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 11 Sustainable Cities and Communities -
SDG 13 Climate Action -
SDG 15 Life on Land
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Collaborations and top research areas from the last five years
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RP-SLAM: Real-Time Photorealistic SLAM With Efficient 3D Gaussian Splatting
Bai, L., Tian, C., Yang, J., Zhang, S., Suganuma, M. & Okatani, T., 2026, In: IEEE Transactions on Visualization and Computer Graphics. 32, 2, p. 1452-1466 15 p.Research output: Contribution to journal › Article › peer-review
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Visual Measurement and Uncertainty Prediction of Insulator Thickness in Insulated Rail Joints
Kasai, R. & Okatani, T., 2026, In: IEEE Transactions on Intelligent Transportation Systems. 27, 1, p. 375-386 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Action-Agnostic Point-Level Supervision for Temporal Action Detection
Yoshida, S. M., Shibata, T., Terao, M., Okatani, T. & Sugiyama, M., 2025 Apr 11, In: Proceedings of the AAAI Conference on Artificial Intelligence. 39, 9, p. 9571-9579 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access2 Citations (Scopus) -
Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction
Charoenpitaks, K., Nguyen, V. Q., Suganuma, M., Takahashi, M., Niihara, R. & Okatani, T., 2025, In: IEEE Transactions on Intelligent Vehicles. 10, 1, p. 709-719 11 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Inverting the Generation Process of Denoising Diffusion Implicit Models: Empirical Evaluation and a Novel Method
Zeng, Y., Suganuma, M. & Okatani, T., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. Institute of Electrical and Electronics Engineers Inc., p. 4616-4624 9 p. (Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus)
Press/Media
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Researchers Develop Deep Learning Model for Eye Disorder Screening
Sharma, P., Nakazawa, T. & Okatani, T.
22/8/9
1 item of Media coverage
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Automated screening of common eye disorders helped by novel deep learning model
Sharma, P., Nakazawa, T. & Okatani, T.
22/7/6
1 item of Media coverage
Press/Media
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New Resource-Light Model Can Identify Many Common Eye Diseases
Sharma, P., Nakazawa, T. & Okatani, T.
22/7/5
1 item of Media coverage
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New deep learning model helps the automated screening of common eye disorders
Sharma, P., Nakazawa, T. & Okatani, T.
22/7/2
1 item of Media coverage
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New Deep Learning Model Helps The Automated Screening of Common Eye Disorders
Sharma, P., Nakazawa, T. & Okatani, T.
22/6/29
1 item of Media coverage
Press/Media