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20142024
most citedAdversarial Text-to-Image Synthesis: A Review

207 citations · 1.4k across the 102 of their papers we have counts for

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Showing 2018Show all

14 papers · 1 filter

cs.CL2018★ 3 cited

Inflection-Tolerant Ontology-Based Named Entity Recognition for Real-Time Applications

Christian Jilek, Markus Schröder, Rudolf Novik +3

A growing number of applications users daily interact with have to operate in (near) real-time: chatbots, digital companions, knowledge work support systems -- just to name a few.…

cs.CY2018

Advanced Memory Buoyancy for Forgetful Information Systems

Christian Jilek, Jessica Chwalek, Sven Schwarz +3

Knowledge workers face an ever increasing flood of information in their daily lives. To counter this and provide better support for information management and knowledge work in gen…

cs.CY2018★ 11 cited

Managed Forgetting to Support Information Management and Knowledge Work

Christian Jilek, Yannick Runge, Claudia Niederée +4

Trends like digital transformation even intensify the already overwhelming mass of information knowledge workers face in their daily life. To counter this, we have been investigati…

cs.CV2018

The Focus-Aspect-Polarity Model for Predicting Subjective Noun Attributes in Images

Tushar Karayil, Philipp Blandfort, Jörn Hees +1

Subjective visual interpretation is a challenging yet important topic in computer vision. Many approaches reduce this problem to the prediction of adjective- or attribute-labels fr…

cs.CV2018★ 1 cited

The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA

Shailza Jolly, Sandro Pezzelle, Tassilo Klein +2

We introduce MASSES, a simple evaluation metric for the task of Visual Question Answering (VQA). In its standard form, the VQA task is operationalized as follows: Given an image an…

cs.CV2018★ 1 cited

Overcoming Missing and Incomplete Modalities with Generative Adversarial Networks for Building Footprint Segmentation

Benjamin Bischke, Patrick Helber, Florian König +2

The integration of information acquired with different modalities, spatial resolution and spectral bands has shown to improve predictive accuracies. Data fusion is therefore one of…