Search Results for author: Sina Moayed Baharlou

Found 4 papers, 2 papers with code

MemeGraphs: Linking Memes to Knowledge Graphs

1 code implementation28 May 2023 Vasiliki Kougia, Simon Fetzel, Thomas Kirchmair, Erion Çano, Sina Moayed Baharlou, Sahand Sharifzadeh, Benjamin Roth

In this work, we propose to use scene graphs, that express images in terms of objects and their visual relations, and knowledge graphs as structured representations for meme classification with a Transformer-based architecture.

Entity Linking Knowledge Graphs +1

Improving Scene Graph Classification by Exploiting Knowledge from Texts

no code implementations9 Feb 2021 Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp

We show that by fine-tuning the classification pipeline with the extracted knowledge from texts, we can achieve ~8x more accurate results in scene graph classification, ~3x in object classification, and ~1. 5x in predicate classification, compared to the supervised baselines with only 1% of the annotated images.

General Classification Graph Classification +7

Classification by Attention: Scene Graph Classification with Prior Knowledge

no code implementations19 Nov 2020 Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp

A major challenge in scene graph classification is that the appearance of objects and relations can be significantly different from one image to another.

General Classification Graph Classification +5

Improving Visual Relation Detection using Depth Maps

1 code implementation2 May 2019 Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp

We argue that depth maps can additionally provide valuable information on object relations, e. g. helping to detect not only spatial relations, such as standing behind, but also non-spatial relations, such as holding.

Object Relation +2

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