1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
CAD -- Contextual Multi-modal Alignment for Dynamic AVQA
Asmar Nadeem, Adrian Hilton, Robert Dawes +2
In the context of Audio Visual Question Answering (AVQA) tasks, the audio visual modalities could be learnt on three levels: 1) Spatial, 2) Temporal, and 3) Semantic. Existing AVQA…
SEM-POS: Grammatically and Semantically Correct Video Captioning
Asmar Nadeem, Adrian Hilton, Robert Dawes +2
Generating grammatically and semantically correct captions in video captioning is a challenging task. The captions generated from the existing methods are either word-by-word that…