34 citations · 64 across the 13 of their papers we have counts for
4 papers · 1 filter
MM-AU:Towards Multimodal Understanding of Advertisement Videos
Digbalay Bose, Rajat Hebbar, Tiantian Feng +3
Advertisement videos (ads) play an integral part in the domain of Internet e-commerce as they amplify the reach of particular products to a broad audience or can serve as a medium…
Contextually-rich human affect perception using multimodal scene information
Digbalay Bose, Rajat Hebbar, Krishna Somandepalli +1
The process of human affect understanding involves the ability to infer person specific emotional states from various sources including images, speech, and language. Affect percept…
MovieCLIP: Visual Scene Recognition in Movies
Digbalay Bose, Rajat Hebbar, Krishna Somandepalli +5
Longform media such as movies have complex narrative structures, with events spanning a rich variety of ambient visual scenes. Domain specific challenges associated with visual sce…
Robust Character Labeling in Movie Videos: Data Resources and Self-supervised Feature Adaptation
Krishna Somandepalli, Rajat Hebbar, Shrikanth Narayanan
Robust face clustering is a vital step in enabling computational understanding of visual character portrayal in media. Face clustering for long-form content is challenging because…