activity
20202024
most citedGraph Contrastive Learning for Skeleton-based Action Recognition

13 citations · 28 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Semi-Supervised Spoken Language Glossification

Huijie Yao, Wengang Zhou, Hao Zhou +1

Spoken language glossification (SLG) aims to translate the spoken language text into the sign language gloss, i.e., a written record of sign language. In this work, we present a fr…

cs.CV2023★ 2 cited

Sign Language Translation with Iterative Prototype

Huijie Yao, Wengang Zhou, Hao Feng +3

This paper presents IP-SLT, a simple yet effective framework for sign language translation (SLT). Our IP-SLT adopts a recurrent structure and enhances the semantic representation (…

cs.CV2023★ 13 cited

Graph Contrastive Learning for Skeleton-based Action Recognition

Xiaohu Huang, Hao Zhou, Jian Wang +7

In the field of skeleton-based action recognition, current top-performing graph convolutional networks (GCNs) exploit intra-sequence context to construct adaptive graphs for featur…

cs.CV2021★ 11 cited

Improving Sign Language Translation with Monolingual Data by Sign Back-Translation

Hao Zhou, Wengang Zhou, Weizhen Qi +2

Despite existing pioneering works on sign language translation (SLT), there is a non-trivial obstacle, i.e., the limited quantity of parallel sign-text data. To tackle this paralle…

cs.CV2020★ 2 cited

Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition

Hao Zhou, Wengang Zhou, Yun Zhou +1

Despite the recent success of deep learning in continuous sign language recognition (CSLR), deep models typically focus on the most discriminative features, ignoring other potentia…