Recent advances in sign language understanding have achieved impressive success on short, single-sentence videos, yet their performance drops sharply when applied to long, continuous sign language videos. To bridge this gap, we focus on a challenging and realistic setting: Visual-only Sentence-level Sign Language Segme...
Bo-Wen Guo, Shi-Wei Gan, Ya-Feng Yin et al.· 0 citations
Recent advances in sign language (SL) research have shown a trend toward unifying multiple sign language understanding (SLU) subtasks, such as isolated sign language recognition (ISLR), continuous sign language recognition (CSLR), and sign language translation (SLT), within a single framework, leading to substantial pr...
Xiao Liu, Shi-Wei Gan, Ya-Feng Yin et al.· 0 citations
A new task, Sign Language Question Answering (SLQA), which evaluates SL understanding by requiring models to answer arbitrary natural language questions about SL videos, and a simple yet effective baseline model equipped with a Question-Conditioned Modulated Temporal Downsampling module and an in-domain knowledge trans...
Shi-Wei Gan, Li-Chen Wang, Xiao Liu et al.· arXiv.org· 2 citations
