In this work, we focus on photorealistic sign avatar modeling, which is crucial for effective communication with the Deaf community and is characterized by complex hand gestures and nuanced facial expressions. To this end, we introduce MVSign, the first multi-view Chinese sign language dataset co-designed with Deaf exp...
Hao-Dong Wang, He-Zhen Hu, Wen-Gang Zhou et al.· 0 citations
Long-video understanding places substantial demands on memory, as answering questions often requires retrieving information distributed across extended temporal spans. Existing approaches broadly follow two paradigms: query-driven exploration, which is sensitive to localization errors, and query-independent memory cons...
Yu-Cheng Liu, Yu-Fei Yin, Ming-Xiao Feng et al.· 0 citations
HIEVI-RAG is introduced, a hierarchical, evidence-driven multimodal RAG framework for closed-domain document understanding that significantly outperforms existing open-source baselines and exceeds the strongest reported baseline by an average of 8.05% in accuracy.
Junyu Xiong, Yonghui Wang, Rongjian Gu et al.· 1 citation
HierDoc, a hierarchical evidence-routing framework that formulates long-document evidence acquisition as two-stage set prediction from pages to regions, achieves state-of-the-art or competitive performance among open-weight systems, improving LongDocURL by 16.87% relative to the strongest reported open-weight baseline.
Experiments across various datasets indicate that the proposed method achieves superior reasoning accuracy without compromising, and even facilitating, the overall accuracy, and ablation studies show that the proposed mechanisms can provide flexible control interfaces for the tradeoff between the reasoning accuracy and...
Yufeng Shi, Weilin Luo, Yuxiang Zhang et al.· Annual Meeting of the Associ...· 0 citations
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