3 papers
cs.CV2025
Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition
Sarah Alyami, Hamzah Luqman, Sadam Al-Azani +3
Current benchmarks for sign language recognition (SLR) focus mainly on isolated SLR, while there are limited datasets for continuous SLR (CSLR), which recognizes sequences of signs…
cs.CV2025
SSLR: A Semi-Supervised Learning Method for Isolated Sign Language Recognition
Hasan Algafri, Hamzah Luqman, Sarah Alyami +1
Sign language is the primary communication language for people with disabling hearing loss. Sign language recognition (SLR) systems aim to recognize sign gestures and translate the…
cs.CV2025
CLIP-SLA: Parameter-Efficient CLIP Adaptation for Continuous Sign Language Recognition
Sarah Alyami, Hamzah Luqman
Continuous sign language recognition (CSLR) focuses on interpreting and transcribing sequences of sign language gestures in videos. In this work, we propose CLIP sign language adap…