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Found 4 papers, 2 papers with code
AVLnet: Learning Audio-Visual Language Representations from Instructional Videos
Further, we propose a tri-modal model that jointly processes raw audio, video, and text captions from videos to learn a multi-modal semantic embedding space useful for text-video retrieval.
Affective Computing for Large-Scale Heterogeneous Multimedia Data: A Survey
Affective computing (AC) of these data can help to understand human behaviors and enable wide applications.
Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection
Fine-grained action detection is an important task with numerous applications in robotics and human-computer interaction.
Automatic Curation of Golf Highlights using Multimodal Excitement Features
The production of sports highlight packages summarizing a game's most exciting moments is an essential task for broadcast media.
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