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20062025
most citedThe Gaia mission

7.1k citations

Showing 2021Show all

14 papers · 1 filter

cs.CV202154 cited

Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision

Alexander Kugele, Thomas Pfeil, Michael Pfeiffer +1

Event-based vision sensors encode local pixel-wise brightness changes in streams of events rather than image frames and yield sparse, energy-efficient encodings of scenes, in addit…

cs.CL202117 cited

CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain

Lukas Lange, Heike Adel, Jannik Strötgen +1

The field of natural language processing (NLP) has recently seen a large change towards using pre-trained language models for solving almost any task. Despite showing great improve…

stat.ML20219 cited

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification

Maximilian Stadler, Bertrand Charpentier, Simon Geisler +2

The interdependence between nodes in graphs is key to improve class predictions on nodes and utilized in approaches like Label Propagation (LP) or in Graph Neural Networks (GNN). N…

cs.SE20218 cited

Reverse Engineering Variability in an Industrial Product Line: Observations and Lessons Learned

Sascha El-Sharkawy, Dhar Saura Jyoti, Adam Krafczyk +3

Ideally, a variability model is a correct and complete representation of product line features and constraints among them. Together with a mapping between features and code, this e…

cond-mat.mtrl-sci202116 cited

Mechanical characterization and failure modes in the peeling of adhesively bonded strips from a plastic substrate

Hamed Zarei, Maria Rosaria Marulli, Marco Paggi +3

With the aim of understanding failure modes in the peeling of silicone-based adhesive joints and, in particular, the occurrence of adhesive or cohesive failure, an experimental cam…

cs.CV2021

Long Short View Feature Decomposition via Contrastive Video Representation Learning

Nadine Behrmann, Mohsen Fayyaz, Juergen Gall +1

Self-supervised video representation methods typically focus on the representation of temporal attributes in videos. However, the role of stationary versus non-stationary attribute…