Daiki Kimura

According to our database, Daiki Kimura authored at least 37 papers between 2013 and 2024.

Collaborative distances:

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

2024

Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation.

Michal Muszynski, Levente J. Klein, Ademir Ferreira da Silva, Anjani Prasad Atluri, Carlos Gomes, Daniela Szwarcman, Gurkanwar Singh, Kewen Gu, Maciel Zortea, Naomi Simumba, Paolo Fraccaro, Shraddha Singh, Steve Meliksetian, Campbell D. Watson, Daiki Kimura, Harini Srinivasan

CoRR, 2024

Towards Efficient Satellite Data Representation Learning with Consistency Loss.

Naomi Simumba, Daiki Kimura, Michiaki Tatsubori

Proceedings of the IGARSS 2024, 2024

Geospatial Sampling by Maximizing Information Entropy.

Daiki Kimura, Naomi Simumba, Marcus Freitag, Johannes Schmude, Michiaki Tatsubori

Proceedings of the IGARSS 2024, 2024

SAR2NDVI: Pre-Training for SAR-to-NDVI Image Translation.

Daiki Kimura, Tatsuya Ishikawa, Masanori Mitsugi, Yasunori Kitakoshi, Takahiro Tanaka, Naomi Simumba, Kentaro Tanaka, Hiroaki Wakabayashi, Masato Sampei, Michiaki Tatsubori

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Foundation Models for Generalist Geospatial Artificial Intelligence.

Johannes Jakubik, Sujit Roy, C. E. Phillips, Paolo Fraccaro, Denys Godwin, Bianca Zadrozny, Daniela Szwarcman, Carlos Gomes, Gabby Nyirjesy, Blair Edwards, Daiki Kimura, Naomi Simumba, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran

CoRR, 2023

TensorBank: Tensor Lakehouse for Foundation Model Training.

Romeo Kienzler, Johannes Schmude, Naomi Simumba, Benedikt Blumenstiel, Marcus Freitag, Daiki Kimura, Zoltan Arnold Nagy, Michael Behrendt, Hendrik F. Hamann, S. Karthik Mukkavilli, Daniel Salles Civitarese

Proceedings of the IEEE International Conference on Big Data, 2023

Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning.

Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura, Prithviraj Sen, Keerthiram Murugesan, Rosario Uceda-Sosa, Michiaki Tatsubori, Achille Fokoue, Pavan Kapanipathi, Asim Munawar, Alexander Gray

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning Neuro-Symbolic World Models with Conversational Proprioception.

Don Joven Agravante, Daiki Kimura, Michiaki Tatsubori, Asim Munawar, Alexander Gray

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis.

Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

DiffG-RL: Leveraging Difference between State and Common Sense.

Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori

CoRR, 2022

Commonsense Knowledge from Scene Graphs for Textual Environments.

Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori

CoRR, 2022

DiffG-RL: Leveraging Difference between Environment State and Common Sense.

Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization.

Subhajit Chaudhury, Sarathkrishna Swaminathan, R. Chulaka Gunasekara, Maxwell Crouse, Srinivas Ravishankar, Daiki Kimura, Keerthiram Murugesan, Ramón Fernandez Astudillo, Tahira Naseem, Pavan Kapanipathi, Alexander Gray

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Reinforcement Learning with External Knowledge by using Logical Neural Networks.

Daiki Kimura, Subhajit Chaudhury, Akifumi Wachi, Ryosuke Kohita, Asim Munawar, Michiaki Tatsubori, Alexander Gray

CoRR, 2021

A Study for Detecting Mild Cognitive Impairment by Analyzing Conversations with Humanoid Robots.

Kenta Yoshii, Masafumi Nishimura, Daiki Kimura, Akihiro Kosugi, Kaoru Shinkawa, Toshiro Takase, Masatomo Kobayashi, Yasunori Yamada, Miyuki Nemoto, Ryohei Watanabe, Eriko Tsukada, Miho Ota, Kiyotaka Nemoto, Tetsuaki Arai, Shinji Higashi

Proceedings of the 3rd IEEE Global Conference on Life Sciences and Technologies, 2021

Neuro-Symbolic Reinforcement Learning with First-Order Logic.

Daiki Kimura, Masaki Ono, Subhajit Chaudhury, Ryosuke Kohita, Akifumi Wachi, Don Joven Agravante, Michiaki Tatsubori, Asim Munawar, Alexander Gray

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Neuro-Symbolic Approaches for Text-Based Policy Learning.

Subhajit Chaudhury, Prithviraj Sen, Masaki Ono, Daiki Kimura, Michiaki Tatsubori, Asim Munawar

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Language-based General Action Template for Reinforcement Learning Agents.

Ryosuke Kohita, Akifumi Wachi, Daiki Kimura, Subhajit Chaudhury, Michiaki Tatsubori, Asim Munawar

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

LOA: Logical Optimal Actions for Text-based Interaction Games.

Daiki Kimura, Subhajit Chaudhury, Masaki Ono, Michiaki Tatsubori, Don Joven Agravante, Asim Munawar, Akifumi Wachi, Ryosuke Kohita, Alexander Gray

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Adversarial Discriminative Attention for Robust Anomaly Detection.

Daiki Kimura, Subhajit Chaudhury, Minori Narita, Asim Munawar, Ryuki Tachibana

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Automatic Detection of Stationary Waves in the Venus Atmosphere Using Deep Generative Models.

Minori Narita, Daiki Kimura, Takeshi Imamura

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games.

Subhajit Chaudhury, Daiki Kimura, Kartik Talamadupula, Michiaki Tatsubori, Asim Munawar, Ryuki Tachibana

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Spatially-weighted Anomaly Detection with Regression Model.

Daiki Kimura, Minori Narita, Asim Munawar, Ryuki Tachibana

CoRR, 2019

Injective State-Image Mapping facilitates Visual Adversarial Imitation Learning.

Subhajit Chaudhury, Daiki Kimura, Asim Munawar, Ryuki Tachibana

Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos.

Subhajit Chaudhury, Hiroki Ozaki, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro

Proceedings of the IEEE International Symposium on Multimedia, 2019

2018

Spatially-weighted Anomaly Detection.

Minori Narita, Daiki Kimura, Ryuki Tachibana

CoRR, 2018

Video Imitation GAN: Learning control policies by imitating raw videos using generative adversarial reward estimation.

Subhajit Chaudhury, Daiki Kimura, Tu-Hoa Pham, Asim Munawar, Ryuki Tachibana

CoRR, 2018

Internal Model from Observations for Reward Shaping.

Daiki Kimura, Subhajit Chaudhury, Ryuki Tachibana, Sakyasingha Dasgupta

CoRR, 2018

DAQN: Deep Auto-encoder and Q-Network.

Daiki Kimura

CoRR, 2018

MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning.

Asim Munawar, Giovanni De Magistris, Tu-Hoa Pham, Daiki Kimura, Michiaki Tatsubori, Takao Moriyama, Ryuki Tachibana, Grady Booch

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention.

Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory.

Phongtharin Vinayavekhin, Michiaki Tatsubori, Daiki Kimura, Yifan Huang, Giovanni De Magistris, Asim Munawar, Ryuki Tachibana

Proceedings of the Social Robotics - 9th International Conference, 2017

2016

High dynamic range imaging based on camera response estimation and multi-gradients fusion.

Daiki Kimura, Akira Kondo, Taichi Yoshida, Masahiro Iwahashi

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

2015

Estimating multimodal attributes for unknown objects.

Daiki Kimura, Osamu Hasegawa

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Hybrid method for multi-exposure image fusion based on weighted mean and sparse representation.

Takao Sakai, Daiki Kimura, Taichi Yoshida, Masahiro Iwahashi

Proceedings of the 23rd European Signal Processing Conference, 2015

2013

Ultra-fast multimodal and online transfer learning on humanoid robots.

Daiki Kimura, Ryutaro Nishimura, Akihiro Oguro, Osamu Hasegawa

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2013

Home Robots, Learn by Themselves.

Osamu Hasegawa, Daiki Kimura

Proceedings of the Universal Access in Human-Computer Interaction. Applications and Services for Quality of Life, 2013