Phongtharin Vinayavekhin

According to our database, Phongtharin Vinayavekhin authored at least 18 papers between 2010 and 2024.

Collaborative distances:

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

2024

Identifying Relationships and Classifying Western-style Paintings: Machine Learning Approaches for Artworks by Western Artists and Meiji-era Japanese Artists.

Phongtharin Vinayavekhin, Banphatree Khomkham, Vorapong Suppakitpaisarn, Philippe Codognet, Torahiko Terada, Atsushi Miura

ACM Journal on Computing and Cultural Heritage, February, 2024

2022

Learning Similarity for Discovering Inspirations of Western Arts in Japanese Culture.

Phongtharin Vinayavekhin, Vorapong Suppakitpaisarn, Philippe Codognet, Torahiko Terada, Atsushi Miura

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021

Data-Efficient Framework for Real-World Multiple Sound Source 2d Localization.

Guillaume Le Moing, Phongtharin Vinayavekhin, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Ensemble of Discriminators for Domain Adaptation in Multiple Sound Source 2D Localization.

Guillaume Le Moing, Don Joven Agravante, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Phongtharin Vinayavekhin

CoRR, 2020

Detection of Anomalous Sounds for Machine Condition Monitoring using Classification Confidence.

Tadanobu Inoue, Phongtharin Vinayavekhin, Shu Morikuni, Shiqiang Wang, Tuan Hoang Trong, David Wood, Michiaki Tatsubori, Ryuki Tachibana

Proceedings of 5th the Workshop on Detection and Classification of Acoustic Scenes and Events 2020 (DCASE 2020), 2020

2019

Learning Multiple Sound Source 2D Localization.

Guillaume Le Moing, Phongtharin Vinayavekhin, Tadanobu Inoue, Jayakorn Vongkulbhisal, Asim Munawar, Ryuki Tachibana, Don Joven Agravante

Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Unsupervised Temporal Feature Aggregation for Event Detection in Unstructured Sports Videos.

Subhajit Chaudhury, Hiroki Ozaki, Daiki Kimura, Phongtharin Vinayavekhin, Asim Munawar, Ryuki Tachibana, Koji Ito, Yuki Inaba, Minoru Matsumoto, Shuji Kidokoro

Proceedings of the IEEE International Symposium on Multimedia, 2019

Shuffling and Mixing Data Augmentation for Environmental Sound Classification.

Tadanobu Inoue, Phongtharin Vinayavekhin, Shiqiang Wang, David Wood, Asim Munawar, Bong Jun Ko, Nancy Greco, Ryuki Tachibana

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events 2019 (DCASE 2019), 2019

Unifying Heterogeneous Classifiers With Distillation.

Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini Scarzanella

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Learning with Predictive Control for Human Motion Tracking.

Don Joven Agravante, Giovanni De Magistris, Asim Munawar, Phongtharin Vinayavekhin, Ryuki Tachibana

CoRR, 2018

Experimental Force-Torque Dataset for Robot Learning of Multi-Shape Insertion.

Giovanni De Magistris, Asim Munawar, Tu-Hoa Pham, Tadanobu Inoue, Phongtharin Vinayavekhin, Ryuki Tachibana

CoRR, 2018

Focusing on What is Relevant: Time-Series Learning and Understanding using Attention.

Phongtharin Vinayavekhin, Subhajit Chaudhury, Asim Munawar, Don Joven Agravante, Giovanni De Magistris, Daiki Kimura, Ryuki Tachibana

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Spatio-Temporal Anomaly Detection for Industrial Robots through Prediction in Unsupervised Feature Space.

Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Human-Like Hand Reaching by Motion Prediction Using Long Short-Term Memory.

Phongtharin Vinayavekhin, Michiaki Tatsubori, Daiki Kimura, Yifan Huang, Giovanni De Magistris, Asim Munawar, Ryuki Tachibana

Proceedings of the Social Robotics - 9th International Conference, 2017

Limiting the reconstruction capability of generative neural network using negative learning.

Asim Munawar, Phongtharin Vinayavekhin, Giovanni De Magistris

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2013

Representation and mapping of dexterous manipulation through task primitives.

Phongtharin Vinayavekhin, Shunsuke Kudoh, Jun Takamatsu, Yoshihiro Sato, Katsushi Ikeuchi

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2011

Towards an automatic robot regrasping movement based on human demonstration using tangle topology.

Phongtharin Vinayavekhin, Shunsuke Kudoh, Katsushi Ikeuchi

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010

Detecting dance motion structure using body components and turning motions.

Bjoern Rennhak, Takaaki Shiratori, Shunsuke Kudoh, Phongtharin Vinayavekhin, Katsushi Ikeuchi

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010