research
∙
11/24/2022
Relation-based Motion Prediction using Traffic Scene Graphs
Representing relevant information of a traffic scene and understanding i...
share
research
∙
10/20/2022
Context-driven Visual Object Recognition based on Knowledge Graphs
Current deep learning methods for object recognition are purely data-dri...
research
∙
01/31/2022
Signing the Supermask: Keep, Hide, Invert
The exponential growth in numbers of parameters of neural networks over ...
research
∙
01/27/2022
A Survey on Visual Transfer Learning using Knowledge Graphs
Recent approaches of computer vision utilize deep learning methods as th...
research
∙
09/21/2021
InvBERT: Text Reconstruction from Contextualized Embeddings used for Derived Text Formats of Literary Works
Digital Humanities and Computational Literary Studies apply text mining ...
research
∙
02/17/2021
ConTraKG: Contrastive-based Transfer Learning for Visual Object Recognition using Knowledge Graphs
Deep learning techniques achieve high accuracy in computer vision tasks....
research
∙
10/18/2019
Towards Learning Cross-Modal Perception-Trace Models
Representation learning is a key element of state-of-the-art deep learni...
research
∙
09/28/2018
Which Knowledge Graph Is Best for Me?
In recent years, DBpedia, Freebase, OpenCyc, Wikidata, and YAGO have bee...
research
∙
10/25/2017
Linking Tweets with Monolingual and Cross-Lingual News using Transformed Word Embeddings
Social media platforms have grown into an important medium to spread inf...
research
∙
10/17/2017
Describing Natural Images Containing Novel Objects with Knowledge Guided Assitance
Images in the wild encapsulate rich knowledge about varied abstract conc...
research
∙
04/20/2017
