Handling incomplete matrix data via continuous-valued infinite relational model. - Tomohiko Suzuki; Takuma Nakamura; Yasutoshi Ida; Takashi Matsumoto 001 (ICASSP, 2012)

HDP-MRF: A hierarchical Nonparametric model for image segmentation. - Takuma Nakamura; Tatsuhiro Harada; Tomohiko Suzuki; Takashi Matsumoto 001 (ICPR, 2012)

Label-Related/Unrelated Topic Switching Model: A Partially Labeled Topic Model Handling Infinite Label-Unrelated Topics. - Yasutoshi Ida; Takuma Nakamura; Takashi Matsumoto 001 (ACPR, 2013)

Domain-dependent/independent topic switching model for online reviews with numerical ratings. - Yasutoshi Ida; Takuma Nakamura; Takashi Matsumoto 001 (CIKM, 2013)

Volcanic ash observation in active volcano areas using teleoperated mobile robots - Introduction to our robotic-volcano-observation project and field experiments. - Keiji Nagatani; Ken Akiyama; Genki Yamauchi; Hikaru Otsuka; Takuma Nakamura; Seiga Kiribayashi; Kazuya Yoshida; Yasushi Hada; Shin'ichi Yuta; Kenichi Fujino; Tomoyuki Izu; Randy Mackay (SSRR, 2013)

Feedforward tracking control for lower-limb robot with antagonistic driven mechanism. - Tomohiro Komatsu; Atsushi Okuyama; Takuma Nakamura (AMC, 2014)

N value estimation method for hydraulic excavator in real time by using logistic regression model. - Hirotaka Tani; Soichiro Hayakawa; Ryojun Ikeura; Takeshi Ooi; Takuma Nakamura (ROBIO, 2017)

Outfit Generation and Style Extraction via Bidirectional LSTM and Autoencoder. - Takuma Nakamura; Ryosuke Goto (CoRR, 2018)

Deep Set-to-Set Matching and Learning. - Yuki Saito 002; Takuma Nakamura; Hirotaka Hachiya; Kenji Fukumizu (CoRR, 2019)

Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning. - Yuki Saito 002; Takuma Nakamura; Hirotaka Hachiya; Kenji Fukumizu (ECCV (17), 2020)

Multiple-hypothesis vision-based landing autonomy. - Takuma Nakamura (2020)

Multiple-Hypothesis Vision-Based Landing Autonomy. - Takuma Nakamura; Eric N. Johnson (J. Aerosp. Inf. Syst., 2020)

SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts. - Masanari Kimura; Takuma Nakamura; Yuki Saito (CoRR, 2021)

Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning. - Ryotaro Shimizu; Takuma Nakamura; Masayuki Goto (CoRR, 2022)

SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts. - Masanari Kimura; Takuma Nakamura; Yuki Saito 002 (CVPR Workshops, 2023)

Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding. - Ryotaro Shimizu; Takuma Nakamura; Masayuki Goto (CVPR Workshops, 2023)

Outfit Completion via Conditional Set Transformation. - Takuma Nakamura; Yuki Saito 002; Ryosuke Goto (CoRR, 2023)

Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning. - Ryotaro Shimizu; Takuma Nakamura; Masayuki Goto (Knowl. Based Syst., 2023)

Temperature Effect on the Correlation Between Cores in a 7-Core Fiber. - Yifan Liu; Mikael Mazur; Lauren Dallachiesa; Nazanin Hoghooghi; Takuma Nakamura; Franklyn Quinlan; Nicolas K. Fontaine (OFC, 2025)