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06/06/2022
Learning with Capsules: A Survey
Capsule networks were proposed as an alternative approach to Convolution...
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12/01/2021
Routing with Self-Attention for Multimodal Capsule Networks
The task of multimodal learning has seen a growing interest recently as ...
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05/22/2021
PLM: Partial Label Masking for Imbalanced Multi-label Classification
Neural networks trained on real-world datasets with long-tailed label di...
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05/11/2021
Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules
The problem of grounding VQA tasks has seen an increased attention in th...
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04/26/2021
Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos
Multimodal self-supervised learning is getting more and more attention a...
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03/04/2021
Modeling Multi-Label Action Dependencies for Temporal Action Localization
Real-world videos contain many complex actions with inherent relationshi...
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01/15/2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
The recent research in semi-supervised learning (SSL) is mostly dominate...
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04/23/2020
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos
Activity detection in surveillance videos is a difficult problem due to ...
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09/30/2019
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing
In this work we propose a capsule-based approach for semi-supervised vid...
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12/02/2018
Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries
In this paper, we propose an end-to-end capsule network for pixel level ...
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05/21/2018