Search Results for author: Chandrashekhar Lavania

Found 3 papers, 1 papers with code

PEAVS: Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers' Opinion Scores

1 code implementation10 Apr 2024 Lucas Goncalves, Prashant Mathur, Chandrashekhar Lavania, Metehan Cekic, Marcello Federico, Kyu J. Han

Recent advancements in audio-visual generative modeling have been propelled by progress in deep learning and the availability of data-rich benchmarks.

Audio-Visual Synchronization

Deep Submodular Networks for Extractive Data Summarization

no code implementations16 Oct 2020 Suraj Kothawade, Jiten Girdhar, Chandrashekhar Lavania, Rishabh Iyer

Unfortunately, these models only learn the relative importance of the different submodular functions (such as diversity, representation or importance), but cannot learn more complex feature representations, which are often required for state-of-the-art performance.

Data Summarization

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