2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Human Part-wise 3D Motion Context Learning for Sign Language Recognition
Taeryung Lee, Yeonguk Oh, Kyoung Mu Lee
In this paper, we propose P3D, the human part-wise motion context learning framework for sign language recognition. Our main contributions lie in two dimensions: learning the part-…
cs.CV2023★ 2 cited
Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction
Hyeongjin Nam, Daniel Sungho Jung, Yeonguk Oh +1
Despite recent advances in 3D human mesh reconstruction, domain gap between training and test data is still a major challenge. Several prior works tackle the domain gap problem via…
cs.CV2023
Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding
Yeonguk Oh, JoonKyu Park, Jaeha Kim +2
Hands, one of the most dynamic parts of our body, suffer from blur due to their active movements. However, previous 3D hand mesh recovery methods have mainly focused on sharp hand…