Takeru Oba

According to our database, Takeru Oba authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

Robot Motion Planning using One-Step Diffusion with Noise-Optimized Approximate Motions.

Tomoharu Aizu, Takeru Oba, Yuki Kondo, Norimichi Ukita

CoRR, April, 2025

R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction.

Takeru Oba, Norimichi Ukita

Neurocomputing, 2025

Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment.

Hiromu Taketsugu, Takeru Oba, Takahiro Maeda, Shohei Nobuhara, Norimichi Ukita

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Efficient Burst Super-Resolution with One-step Diffusion.

Kento Kawai, Takeru Oba, Kyotaro Tokoro, Kazutoshi Akita, Norimichi Ukita

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Depth Estimation fusing Image and Radar Measurements with Uncertain Directions.

Masaya Kotani, Takeru Oba, Norimichi Ukita

Proceedings of the International Joint Conference on Neural Networks, 2024

READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning.

Takeru Oba, Matthew R. Walter, Norimichi Ukita

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Future-guided offline imitation learning for long action sequences via video interpolation and future-trajectory prediction.

Takeru Oba, Norimichi Ukita

Neurocomputing, August, 2023

Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding.

Takeru Oba, Norimichi Ukita

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Efficient Reinforcement Learning Using State-Action Uncertainty with Multiple Heads.

Tomoharu Aizu, Takeru Oba, Norimichi Ukita

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Cold Diffusion on the Replay Buffer: Learning to Plan from Known Good States.

Zidan Wang, Takeru Oba, Takuma Yoneda, Rui Shen, Matthew R. Walter, Bradly C. Stadie

Proceedings of the Conference on Robot Learning, 2023

2021

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results.

Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li, Shuaicheng Liu, Ziluan Liu, Ziwei Luo, Takahiro Maeda, Julien Mairal, Christian Micheloni, Xuan Mo, Takeru Oba, Pavel Ostyakov, Jean Ponce, Sanghyeok Son, Jian Sun, Norimichi Ukita, Rao Muhammad Umer, Youliang Yan, Lei Yu, Magauiya Zhussip, Xueyi Zou

CoRR, 2021

2020

Instance Segmentation by Semi-Supervised Learning and Image Synthesis.

Takeru Oba, Norimichi Ukita

IEICE Trans. Inf. Syst., 2020