Papers by Kavu Maithri Rao
Sign Language Video Segmentation Using Temporal Boundary Identification (2025.acl-srw)
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| Challenge: | Sign language segmentation focuses on identifying temporal boundaries within video . previous methods have relied on frame-level and phrase-level segmentation. |
| Approach: | They propose to use synchronized subtitle data to facilitate temporal boundary recognition by a sequence-to-sequence model with and without attention for subtitle boundary identification. |
| Outcome: | The proposed model outperforms baseline models on optical flow data and aligned subtitles from BOBSL and YouTube-ASL. |