research
∙
07/05/2023
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters
Multimodal demand forecasting aims at predicting product demand utilizin...
share
research
∙
08/30/2022
PanorAMS: Automatic Annotation for Detecting Objects in Urban Context
Large collections of geo-referenced panoramic images are freely availabl...
research
∙
05/17/2021
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
We propose ArtSAGENet, a novel multimodal architecture that integrates G...
research
∙
01/30/2020
Echo Chambers Exist! (But They're Full of Opposing Views)
The theory of echo chambers, which suggests that online political discus...
research
∙
09/19/2019
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities
Multimodal datasets contain an enormous amount of relational information...
research
∙
05/07/2019
Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings
In this paper we present a novel interactive multimodal learning system,...
research
∙
04/30/2019
Multimodal Classification of Urban Micro-Events
In this paper we seek methods to effectively detect urban micro-events. ...
research
∙
04/18/2019