Papers by Andrew Zisserman
Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing (2026.acl-long)
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| Challenge: | Existing approaches for aligning spoken language text to sign language videos rely on end-to-end training tied to a specific language or dataset. |
| Approach: | They propose a universal approach for aligning spoken language text with corresponding timestamps to sign language videos using a lightweight dynamic programming procedure. |
| Outcome: | The proposed method can be used on four sign language datasets and is highly efficient on CPU. |