662 citations
- ETH ZurichCH37 papers
- IBM (United States)US14 papers
- École Polytechnique Fédérale de LausanneCH9 papers
- University of BaselCH7 papers
- IBM Research - Thomas J. Watson Research CenterUS6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Universidade de Santiago de CompostelaES5 papers
- University of ZurichCH5 papers
- Center for Research in Molecular Medicine and Chronic DiseasesES4 papers
- Chalmers University of TechnologySE4 papers
- Forschungszentrum JülichDE4 papers
- Paul Scherrer InstituteCH4 papers
5 papers · 1 filter
SubGrapher: Visual Fingerprinting of Chemical Structures
Lucas Morin, Gerhard Ingmar Meijer, Valéry Weber +2
Automatic extraction of chemical structures from scientific literature plays a crucial role in accelerating research across fields ranging from drug discovery to materials science.…
Wandering around: A bioinspired approach to visual attention through object motion sensitivity
Giulia D'Angelo, Victoria Clerico, Chiara Bartolozzi +3
Active vision enables dynamic visual perception, offering an alternative to static feedforward architectures in computer vision, which rely on large datasets and high computational…
AB2CD: AI for Building Climate Damage Classification and Detection
Maximilian Nitsche, S. Karthik Mukkavilli, Niklas Kühl +1
We explore the implementation of deep learning techniques for precise building damage assessment in the context of natural hazards, utilizing remote sensing data. The xBD dataset,…
Mitosis Detection Under Limited Annotation: A Joint Learning Approach
Pushpak Pati, Antonio Foncubierta-Rodriguez, Orcun Goksel +1
Mitotic counting is a vital prognostic marker of tumor proliferation in breast cancer. Deep learning-based mitotic detection is on par with pathologists, but it requires large labe…
Learned Multi-View Texture Super-Resolution
Audrey Richard, Ian Cherabier, Martin R. Oswald +3
We present a super-resolution method capable of creating a high-resolution texture map for a virtual 3D object from a set of lower-resolution images of that object. Our architectur…