activity
20222024
most citedCross-modality Data Augmentation for End-to-End Sign Language Translation

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Improving Gloss-free Sign Language Translation by Reducing Representation Density

Jinhui Ye, Xing Wang, Wenxiang Jiao +2

Gloss-free sign language translation (SLT) aims to develop well-performing SLT systems with no requirement for the costly gloss annotations, but currently still lags behind gloss-b…

cs.CV2023★ 1 cited

GeoDeformer: Geometric Deformable Transformer for Action Recognition

Jinhui Ye, Jiaming Zhou, Hui Xiong +1

Vision transformers have recently emerged as an effective alternative to convolutional networks for action recognition. However, vision transformers still struggle with geometric v…

cs.CV2023

Spatial-Temporal Alignment Network for Action Recognition

Jinhui Ye, Junwei Liang

This paper studies introducing viewpoint invariant feature representations in existing action recognition architecture. Despite significant progress in action recognition, efficien…

cs.CL2023★ 2 cited

Cross-modality Data Augmentation for End-to-End Sign Language Translation

Jinhui Ye, Wenxiang Jiao, Xing Wang +2

End-to-end sign language translation (SLT) aims to convert sign language videos into spoken language texts directly without intermediate representations. It has been a challenging…

cs.CL2022★ 1 cited

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation

Jinhui Ye, Wenxiang Jiao, Xing Wang +1

Sign language gloss translation aims to translate the sign glosses into spoken language texts, which is challenging due to the scarcity of labeled gloss-text parallel data. Back tr…