Yusuke Goutsu

Tetsunari Inamura

Proceedings of the 30th ACM Symposium on Virtual Reality Software and Technology, 2024

2023

Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Instant Difficulty Adjustment: Predicting Success Rate of VR Kendama when Changing the Difficulty Level.

[BibT_eX]

[DOI]

Tetsunari Inamura

Proceedings of the Augmented Humans International Conference 2023, 2023

2022

Precise Affordance Annotation for Egocentric Action Video Datasets.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Linguistic Descriptions of Human Motion with Generative Adversarial Seq2Seq Learning.

[BibT_eX]

[DOI]

Tetsunari Inamura

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2018

Classification of Multi-class Daily Human Motion using Discriminative Body Parts and Sentence Descriptions.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2018

Region-Object Relevance-Guided Visual Relationship Detection.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2018, 2018

2015

Gesture recognition using hybrid generative-discriminative approach with Fisher Vector.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Motion Recognition Employing Multiple Kernel Learning of Fisher Vectors Using Local Skeleton Features.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2013

Generating sentence from motion by using large-scale and high-order N-grams.

[BibT_eX]

[DOI]