651 citations
- Bielefeld UniversityDE49 papers
- Hochschule OsnabrückDE31 papers
- Forschungszentrum JülichDE29 papers
- Charles UniversityCZ25 papers
- Iowa State UniversityUS20 papers
- Ames National LaboratoryUS18 papers
- Technische Universität BraunschweigDE17 papers
- University of StuttgartDE17 papers
- M.N. Mikheev Institute of Metal PhysicsRU16 papers
- University of GroningenNL16 papers
- Otto-von-Guericke-Universität MagdeburgDE15 papers
- RWTH Aachen UniversityDE14 papers
707 papers
Zero-Shot Object Removal via Attention Masking, Latent Anchoring, and Refinement
Arman Taghizadeh, Ulf Krumnack, Kai-Uwe Kühnberger
Removing an object from a real image requires more than synthesizing plausible content within a mask: the method must suppress residual object features, preserve the unedited scene…
Active Visual Semantics: A large-scale MEG and eye-tracking dataset for understanding visual intelligence in action
Philip Sulewski, Carmen Amme, Peter König +2
Here we present the Active Visual Semantics (AVS) dataset, a large-scale collection of magnetoencephalography (MEG) and eye-tracking data recorded while five participants freely ex…
On monoids up to symmetry
Dinh Van Le, Tim Römer, Nguyen Thi Vien
We study monoids in an infinite-dimensional setting that are invariant under the action of the infinite symmetric group Sym. Our main result establishes a local--global principle c…
Theory for the mixed alkali effect in glasses
Justus Leiber, Quinn Emilia Fischer, Sven Lohmann +1
The mixed alkali or mixed mobile ion effect in glasses manifests itself by strong nonlinear variations of ionic transport properties upon mixing of different types of mobile ions.…
LIEREx: Language-Image Embeddings for Robotic Exploration
Felix Igelbrink, Lennart Niecksch, Marian Renz +2
Semantic maps allow a robot to reason about its surroundings to fulfill tasks such as navigating known environments, finding specific objects, and exploring unmapped areas. Traditi…
ExPrIS: Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data
Marian Renz, Martin Günther, Felix Igelbrink +2
While deep learning has significantly advanced robotic object recognition, purely data-driven approaches often lack semantic consistency and fail to leverage valuable, pre-existing…