Ekkasit Pinyoanuntapong (เอกสิทธิ์)

I am a Ph.D. student in the WiNS Lab at the University of North Carolina at Charlotte, advised by Prof. Pu Wang. My research interests focus on the generation and understanding of 3D human bodies utilizing domain adaptation, self-supervised learning, and multimodal approaches. In my previous experience, I have worked on augmented reality, physics engine, motion detection and various animation software programs.

Selected Publications

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MMM: Generative Masked Motion Model

Ekkasit Pinyoanuntapong, Pu Wang, Minwoo Lee, Chen Chen

ArXiv, 2023.

Arxiv Webpage Github

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GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer

Ekkasit Pinyoanuntapong, Ayman Ali, Pu Wang, Minwoo Lee, Chen Chen

ICASSP, 2023.

Arxiv Github

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GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition

Ekkasit Pinyoanuntapong, Ayman Ali, Kalvik Jakkala, Pu Wang, Minwoo Lee, Qucheng Peng, Chen Chen, Zhi Sun

IEEE MASS, 2023.

Arxiv Webpage Github

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Skeleton-based Human Action Recognition via Convolutional Neural Networks

Ayman Ali, Ekkasit Pinyoanuntapong, Pu Wang, Mohsen Dorodchi

Arxiv, 2023.

Arxiv