3 citations · 12 across the 14 of their papers we have counts for
7 papers · 1 filter
Towards Child-Inclusive Clinical Video Understanding for Autism Spectrum Disorder
Aditya Kommineni, Digbalay Bose, Tiantian Feng +6
Clinical videos in the context of Autism Spectrum Disorder are often long-form interactions between children and caregivers/clinical professionals, encompassing complex verbal and…
Can Text-to-image Model Assist Multi-modal Learning for Visual Recognition with Visual Modality Missing?
Tiantian Feng, Daniel Yang, Digbalay Bose +1
Multi-modal learning has emerged as an increasingly promising avenue in vision recognition, driving innovations across diverse domains ranging from media and education to healthcar…
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…
Understanding of Emotion Perception from Art
Digbalay Bose, Krishna Somandepalli, Souvik Kundu +3
Computational modeling of the emotions evoked by art in humans is a challenging problem because of the subjective and nuanced nature of art and affective signals. In this paper, we…
Clustering using Vector Membership: An Extension of the Fuzzy C-Means Algorithm
Srinjoy Ganguly, Digbalay Bose, Amit Konar
Clustering is an important facet of explorative data mining and finds extensive use in several fields. In this paper, we propose an extension of the classical Fuzzy C-Means cluster…