1 citations · 1 across the 6 of their papers we have counts for
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Efficient Audio-Visual Fusion for Video Classification
Mahrukh Awan, Asmar Nadeem, Armin Mustafa
We present Attend-Fusion, a novel and efficient approach for audio-visual fusion in video classification tasks. Our method addresses the challenge of exploiting both audio and visu…
Attend-Fusion: Efficient Audio-Visual Fusion for Video Classification
Mahrukh Awan, Asmar Nadeem, Muhammad Junaid Awan +2
Exploiting both audio and visual modalities for video classification is a challenging task, as the existing methods require large model architectures, leading to high computational…
NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative
Asmar Nadeem, Faegheh Sardari, Robert Dawes +3
Existing video captioning benchmarks and models lack causal-temporal narrative, which is sequences of events linked through cause and effect, unfolding over time and driven by char…