Instance Segmentation by Semi-Supervised Learning and Image Synthesis. - Takeru Oba; Norimichi Ukita (IEICE Trans. Inf. Syst., 2020)

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; et al. (CoRR, 2021)

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 (CoRL, 2023)

Efficient Reinforcement Learning Using State-Action Uncertainty with Multiple Heads. - Tomoharu Aizu; Takeru Oba; Norimichi Ukita (ICANN (8), 2023)

Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding. - Takeru Oba; Norimichi Ukita (ICRA, 2023)

Future-guided offline imitation learning for long action sequences via video interpolation and future-trajectory prediction. - Takeru Oba; Norimichi Ukita (Neurocomputing, 2023)

READ: Retrieval-Enhanced Asymmetric Diffusion for Motion Planning. - Takeru Oba; Matthew R. Walter; Norimichi Ukita (CVPR, 2024)

Depth Estimation fusing Image and Radar Measurements with Uncertain Directions. - Masaya Kotani; Takeru Oba; Norimichi Ukita (IJCNN, 2024)

Efficient Burst Super-Resolution with One-step Diffusion. - Kento Kawai; Takeru Oba; Kyotaro Tokoro; Kazutoshi Akita; Norimichi Ukita (CVPR Workshops, 2025)

Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment. - Hiromu Taketsugu; Takeru Oba; Takahiro Maeda 001; Shohei Nobuhara; Norimichi Ukita (CVPR, 2025)

R2-Diff: Denoising by diffusion as a refinement of retrieved motion for image-based motion prediction. - Takeru Oba; Norimichi Ukita (Neurocomputing, 2025)

Robot Motion Planning using One-Step Diffusion with Noise-Optimized Approximate Motions. - Tomoharu Aizu; Takeru Oba; Yuki Kondo; Norimichi Ukita (CoRR, 2025)