73 citations · 80 across the 4 of their papers we have counts for
9 papers · 1 filter
Learning with Capsules: A Survey
Fabio De Sousa Ribeiro, Kevin Duarte, Miles Everett +2
Capsule networks were proposed as an alternative approach to Convolutional Neural Networks (CNNs) for learning object-centric representations, which can be leveraged for improved g…
PLM: Partial Label Masking for Imbalanced Multi-label Classification
Kevin Duarte, Yogesh S. Rawat, Mubarak Shah
Neural networks trained on real-world datasets with long-tailed label distributions are biased towards frequent classes and perform poorly on infrequent classes. The imbalance in t…
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules
Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte +3
The problem of grounding VQA tasks has seen an increased attention in the research community recently, with most attempts usually focusing on solving this task by using pretrained…
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
Brian Chen, Andrew Rouditchenko, Kevin Duarte +10
Multimodal self-supervised learning is getting more and more attention as it allows not only to train large networks without human supervision but also to search and retrieve data…
Modeling Multi-Label Action Dependencies for Temporal Action Localization
Praveen Tirupattur, Kevin Duarte, Yogesh Rawat +1
Real-world videos contain many complex actions with inherent relationships between action classes. In this work, we propose an attention-based architecture that models these action…
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos
Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur +5
Activity detection in security videos is a difficult problem due to multiple factors such as large field of view, presence of multiple activities, varying scales and viewpoints, an…