Sumit joined Adobe Research Labs India as a Research Scientist in August 2014. He completed his doctoral studies at University of Maryland under Prof. Rama Chellappa. Previously, he received B. Tech. in Electrical Engineering from IIT Bombay. His research interests are in computer vision and machine learning. At Adobe, he is a part of Document Intelligence group, working on topics like document structural analysis and question/answering. He has also explored video content analysis and AR/VR interfaces during his work at Adobe.
Show and Recall @ MediaEval 2018 ViMemNet: Predicting Video Memorability
Show and Recall: Learning What Makes Videos Memorable
Experience Individualization on Online TV Platforms through Persona-based Account Decomposition
Similarity Learning for Product Recommendation using Multi-Channel Data
Coupled projections for adaptation of dictionaries
Class Consistent Multi-Modal Fusion With Binary Features
Domain adaptive sparse representation-based classification
Parametric Dictionaries and Feature Augmentation for Continuous Domain Adaptation
Analysis sparse coding models for image-based classification
Unsupervised domain adaptation using parallel transport on Grassmann manifold