1 citations · 1 across the 2 of their papers we have counts for
3 papers
Improving Lip-synchrony in Direct Audio-Visual Speech-to-Speech Translation
Lucas Goncalves, Prashant Mathur, Xing Niu +5
Audio-Visual Speech-to-Speech Translation typically prioritizes improving translation quality and naturalness. However, an equally critical aspect in audio-visual content is lip-sy…
PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores
Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania +3
Recent advancements in audio-visual generative modeling have been propelled by progress in deep learning and the availability of data-rich benchmarks. However, the growth is not at…
Deep Submodular Networks for Extractive Data Summarization
Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania +1
Deep Models are increasingly becoming prevalent in summarization problems (e.g. document, video and images) due to their ability to learn complex feature interactions and represent…