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Naeha Sharif

2 accepted papers

2026

SkeletonContext: Skeleton-side Context Prompt Learning for Zero-Shot Skeleton-based Action Recognition

CVPR 2026

Zero-shot skeleton-based action recognition aims to recognize unseen actions by transferring knowledge from seen categories through semantic descriptions. Most existing methods typically align skeleton features with textual embeddings within a shared latent space. However, the absence of contextual

Cited by 0SourcecodeScholar
2018

NNEval: Neural Network based Evaluation Metric for Image Captioning

ECCV 2018poster

The automatic evaluation of image descriptions is an intricate task, and it is highly important in the development and fine-grained analysis of captioning systems. Existing metrics to automatically evaluate image captioning systems fail to achieve a satisfactory level of correlation with human judge…

Cited by 26SourcePDFScholar