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Tiantian Yuan

2 accepted papers

2024

CoSLR: Contrastive Chinese Sign Language Recognition with prior knowledge And Multi-Tasks Joint Learning

ICASSP 2024accepted

Perceiving by computer vision, Sign Language Recognition (SLR) obtains the advantage of transforming the posture video into a sentence, compared with the methods of sensors to collect signals. However, learning representative features from a multimodal perspective is challenging. To this end, this s…

Cited by 0SourceScholar
2023

Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition

CVPR 2023poster

Continuous sign language recognition (CSLR) aims to recognize glosses in a sign language video. State-of-the-art methods typically have two modules, a spatial perception module and a temporal aggregation module, which are jointly learned end-to-end. Existing results in [9,20,25,36] have indicated th…

Cited by 47SourcePDFScholar