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cs.CV2026

Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness

Xin Hu, Haomiao Ni, Yunbei Zhang +3

Vision language models (VLMs) have achieved remarkable success in broad visual understanding, yet they remain challenged by object-centric reasoning on rare objects due to the scar…

cs.CV2025

SLRTP2025 Sign Language Production Challenge: Methodology, Results, and Future Work

Harry Walsh, Ed Fish, Ozge Mercanoglu Sincan +19

Sign Language Production (SLP) is the task of generating sign language video from spoken language inputs. The field has seen a range of innovations over the last few years, with th…

cs.CV2025

Cross-Modal Consistency Learning for Sign Language Recognition

Kepeng Wu, Zecheng Li, Hezhen Hu +2

Pre-training has been proven to be effective in boosting the performance of Isolated Sign Language Recognition (ISLR). Existing pre-training methods solely focus on the compact pos…

cs.CV2025

Uni-Sign: Toward Unified Sign Language Understanding at Scale

Zecheng Li, Wengang Zhou, Weichao Zhao +3

Sign language pre-training has gained increasing attention for its ability to enhance performance across various sign language understanding (SLU) tasks. However, existing methods…

cs.CV2024

Scaling up Multimodal Pre-training for Sign Language Understanding

Wengang Zhou, Weichao Zhao, Hezhen Hu +2

Sign language serves as the primary meaning of communication for the deaf-mute community. Different from spoken language, it commonly conveys information by the collaboration of ma…

cs.CV2024

SEDS: Semantically Enhanced Dual-Stream Encoder for Sign Language Retrieval

Longtao Jiang, Min Wang, Zecheng Li +3

Different from traditional video retrieval, sign language retrieval is more biased towards understanding the semantic information of human actions contained in video clips. Previou…