25 citations · 47 across the 14 of their papers we have counts for
18 papers · 1 filter
SignMatch: Matching Dictionary Signs to Continuous Sign Language Video
Ryan Wong, Youngjoon Jang, Liliane Momeni +2
The objective of this paper is to match dictionary sign videos to corresponding signs in continuous signing videos, where a match is defined by the visual similarity alone - the ha…
Lost in Translation, Found in Embeddings: Sign Language Translation and Alignment
Youngjoon Jang, Liliane Momeni, Zifan Jiang +3
Our aim is to develop a unified model for sign language understanding, that performs sign language translation (SLT) and sign-subtitle alignment (SSA). Together, these two tasks en…
More than a Moment: Towards Coherent Sequences of Audio Descriptions
Eshika Khandelwal, Junyu Xie, Tengda Han +5
Audio Descriptions (ADs) convey essential on-screen information, allowing visually impaired audiences to follow videos. To be effective, ADs must form a coherent sequence that help…
Shot-by-Shot: Film-Grammar-Aware Training-Free Audio Description Generation
Junyu Xie, Tengda Han, Max Bain +5
Our objective is the automatic generation of Audio Descriptions (ADs) for edited video material, such as movies and TV series. To achieve this, we propose a two-stage framework tha…
Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues
Youngjoon Jang, Haran Raajesh, Liliane Momeni +2
Our objective is to translate continuous sign language into spoken language text. Inspired by the way human interpreters rely on context for accurate translation, we incorporate ad…
AutoAD-Zero: A Training-Free Framework for Zero-Shot Audio Description
Junyu Xie, Tengda Han, Max Bain +4
Our objective is to generate Audio Descriptions (ADs) for both movies and TV series in a training-free manner. We use the power of off-the-shelf Visual-Language Models (VLMs) and L…