Korbinian Hagn

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Object Detection

Background Subtraction

Top Venues

ECCV Workshops (5)

Publications

Syed Sha Qutub, Michael Paulitsch, Korbinian Hagn, Neslihan Köse Cihangir, Kay-Ulrich Scholl, Fabian Oboril, Gereon Hinz, Alois Knoll
Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection. CoRR (2024)
Syed Sha Qutub, Michael Paulitsch, Karthik Pattabiraman, Korbinian Hagn, Fabian Oboril, Cornelius Bürkle, Kay-Ulrich Scholl, Gereon Hinz, Alois Knoll
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models. CoRR (2024)
Oliver Grau, Korbinian Hagn
VALERIE22 - A photorealistic, richly metadata annotated dataset of urban environments. CSCS (2023)
Qutub Syed Sha, Neslihan Kose, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois Knoll
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. CoRR (2023)
Oliver Grau, Korbinian Hagn
VALERIE22 - A photorealistic, richly metadata annotated dataset of urban environments. CoRR (2023)
Syed Qutub, Neslihan Köse Cihangir, Rafael Rosales, Michael Paulitsch, Korbinian Hagn, Florian Geissler, Yang Peng, Gereon Hinz, Alois C. Knoll
BEA: Revisiting anchor-based object detection DNN using Budding Ensemble Architecture. BMVC (2023)
Thomas Stauner, Frédérik Blank, Michael Fürst, Johannes Günther, Korbinian Hagn, Philipp Heidenreich, Markus Huber, Bastian Knerr, Thomas Schulik, Karl-Ferdinand Leiß
SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes. CSCS (2022)
Korbinian Hagn, Oliver Grau
Validation of Pedestrian Detectors by Classification of Visual Detection Impairing Factors. ECCV Workshops (5) (2022)
Korbinian Hagn, Oliver Grau
Increasing pedestrian detection performance through weighting of detection impairing factors. CSCS (2022)
Korbinian Hagn, Oliver Grau
Improved Sensor Model for Realistic Synthetic Data Generation. CSCS (2021)
Qutub Syed Sha, Oliver Grau, Korbinian Hagn
DNN Analysis through Synthetic Data Variation. CSCS (2020)
Christian Sieber, Korbinian Hagn, Christian Moldovan, Tobias Hoßfeld, Wolfgang Kellerer
Towards Machine Learning-Based Optimal HAS. CoRR (2018)
Christian Moldovan, Korbinian Hagn, Christian Sieber, Wolfgang Kellerer, Tobias Hoßfeld
Keep Calm and Don't Switch: About the Relationship Between Switches and Quality in HAS. ITC PhD Workshop (2017)