66 citations · 81 across the 5 of their papers we have counts for
5 papers
FoodX-251: A Dataset for Fine-grained Food Classification
Parneet Kaur, Karan Sikka, Weijun Wang +2
Food classification is a challenging problem due to the large number of categories, high visual similarity between different foods, as well as the lack of datasets for training sta…
Deep Unified Multimodal Embeddings for Understanding both Content and Users in Social Media Networks
Karan Sikka, Lucas Van Bramer, Ajay Divakaran
There has been an explosion of multimodal content generated on social media networks in the last few years, which has necessitated a deeper understanding of social media content an…
Data-Efficient Mutual Information Neural Estimator
Xiao Lin, Indranil Sur, Samuel A. Nastase +3
Measuring Mutual Information (MI) between high-dimensional, continuous, random variables from observed samples has wide theoretical and practical applications. Recent work, MINE (B…
Combining Weakly and Webly Supervised Learning for Classifying Food Images
Parneet Kaur, Karan Sikka, Ajay Divakaran
Food classification from images is a fine-grained classification problem. Manual curation of food images is cost, time and scalability prohibitive. On the other hand, web data is a…
Human Social Interaction Modeling Using Temporal Deep Networks
Mohamed R. Amer, Behjat Siddiquie, Amir Tamrakar +4
We present a novel approach to computational modeling of social interactions based on modeling of essential social interaction predicates (ESIPs) such as joint attention and entrai…