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1

Nearest neighbor future captioning: generating descriptions..:

Komatsu, Takumi ; Kambara, Motonari ; Hatanaka, Shumpei...
Advanced Robotics. , 2024

Link: https://doi.org/10.1080/..

2

Learning-To-Rank Approach for Identifying Everyday Objects ..:

Kaneda, Kanta ; Nagashima, Shunya ; Korekata, Ryosuke..
IEEE Robotics and Automation Letters. 9 (2024) 3 - p. 2088-2095 , 2024

Link: https://doi.org/10.1109/..

3

Switching Head-Tail Funnel UNITER for Dual Referring Expres..:

, In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),

Korekata, Ryosuke ; Kambara, Motonari ; Yoshida, Yu... - p. 3865-3872 , 2023

Link: https://doi.org/10.1109/..

4

Relational Future Captioning Model for Explaining Likely Co..:

, In: 2022 IEEE International Conference on Image Processing (ICIP),

Kambara, Motonari ; Sugiura, Komei - p. 2601-2605 , 2022

Link: https://doi.org/10.1109/..

5

Fully Automated Task Management for Generation, Execution, ..:

Kambara, Motonari ; Sugiura, Komei
http://arxiv.org/abs/2311.04260. , 2023

Link: http://arxiv.org/abs/231..

6

Switching Head-Tail Funnel UNITER for Dual Referring Expres..:

Korekata, Ryosuke ; Kambara, Motonari ; Yoshida, Yu...
http://arxiv.org/abs/2307.07166. , 2023

Link: http://arxiv.org/abs/230..

7

DialMAT: Dialogue-Enabled Transformer with Moment-Based Adv..:

Kaneda, Kanta ; Korekata, Ryosuke ; Wada, Yuiga...
http://arxiv.org/abs/2311.06855. , 2023

Link: http://arxiv.org/abs/231..

8

Learning-To-Rank Approach for Identifying Everyday Objects ..:

Kaneda, Kanta ; Nagashima, Shunya ; Korekata, Ryosuke..
http://arxiv.org/abs/2312.15844. , 2023

Link: http://arxiv.org/abs/231..

9

Relational Future Captioning Model for Explaining Likely Co..:

Kambara, Motonari ; Sugiura, Komei
http://arxiv.org/abs/2207.09083. , 2022

Link: http://arxiv.org/abs/220..

10

Case Relation Transformer: A Crossmodal Language Generation..:

Kambara, Motonari ; Sugiura, Komei
http://arxiv.org/abs/2107.00789. , 2021

Link: http://arxiv.org/abs/210..

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