Daniel Schmidt

Understanding Knowledge Gaps in Visual Question Answering: Implications for Gap Identification and Testing

Pranav Maneriker, Srinivasan Parthasarathy, Bortik Bandyopadhyay, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Characterization of Industry 4.0 Lean Management Problem-Solving Behavioral Patterns Using EEG Sensors and Deep Learning

Javier Villalba-Diez, Martin Molina, Daniel Schmidt, 2019, Sensors.

Validation of Automated Driving Functions Using Vehicle and Infrastructure Data

Stefan Bernsteiner, Peter Hrassnig, Christian Payerl, 2019 .

{CREA -- A} Climbing Robot with Eleven Vacuum Adhesion Chambers

Karsten Berns, Daniel Schmidt, Steffen Schütz, 2014 .

Friction Optimized Adhesion Control of a Wheel-Driven Wall-Climbing Robot

Karsten Berns, Daniel Schmidt, Steffen Schütz, 2014 .

Deep Learning for Industrial Computer Vision Quality Control in the Printing Industry 4.0

Javier Villalba-Diez, Joaquín B. Ordieres Meré, Roman Gevers, 2019, Sensors.

Exploring Data Quantity Requirements for Domain Adaptation in the Classification of Satellite Image Time Series

Geoffrey I. Webb, Jordi Inglada, Daniel Schmidt, 2019, 2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp).