Michelle Karg

35 papers A* 2A 1B 6Journal 13Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Streamlining the Development of Active Learning Methods in Real-World Object Detection.
CoRR
Moussa Kassem Sbeyti, Nadja Klein, Michelle Karg, Christian Wirth, Sahin Albayrak
2024 A conf
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection.
UAI
Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak
2024 J jnl
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection.
CoRR
Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak
2024 J jnl
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift.
CoRR
Fabian Diet, Moussa Kassem Sbeyti, Michelle Karg
2023 J jnl
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration.
CoRR
Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak
2023 — conf
Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration.
ECML/PKDD (5)
Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak
2023 A* conf
Plausible Uncertainties for Human Pose Regression.
ICCV
Lennart Bramlage, Michelle Karg, Cristóbal Curio
2021 J jnl
Residual Error: a New Performance Measure for Adversarial Robustness.
CoRR
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2020 — ch.
Deep Learning-Based Pedestrian Detection for Automated Driving: Achievements and Future Challenges.
Development and Analysis of Deep Learning Architectures
Michelle Karg, Christian Scharfenberger
2020 A* conf
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness.
CVPR
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2020 J jnl
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness.
CoRR
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2020 — conf
Recognition System of Hand Signals of a Police Officer for Automated Driving.
ITSC
Shintaro Ono, Atsumu Kida, Yoshihiro Suda, Takanoshin Watanabe, Michelle Karg
2020 J jnl
Vulnerability Under Adversarial Machine Learning: Bias or Variance?
CoRR
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2019 — conf
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles.
CVPR Workshops
Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
2019 — conf
SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles.
CVPR Workshops
Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg
2019 J jnl
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks.
Neurocomputing
Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong
2018 — conf
Distant Vehicle Detection: How Well Can Region Proposal Networks Cope with Tiny Objects at Low Resolution?
ECCV Workshops (1)
Ann-Katrin Fattal, Michelle Karg, Christian Scharfenberger, Jürgen Adamy
2018 — conf
NightOwls: A Pedestrians at Night Dataset.
ACCV (1)
Lukás Neumann, Michelle Karg, Shanshan Zhang, Christian Scharfenberger, Eric Piegert, Sarah Mistr, Olga Prokofyeva, Robert Thiel, Andrea Vedaldi, Andrew Zisserman, Bernt Schiele
2018 J jnl
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks.
CoRR
Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong
2017 — conf
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks.
ICCV Workshops
M. J. Shafiee, Elnaz Barshan, Francis Li, Brendan Chwyl, Michelle Karg, Christian Scharfenberger, Alexander Wong
2017 — conf
Saliency-guided region proposal network for CNN based object detection.
ITSC
Ann-Katrin Fattal, Michelle Karg, Christian Scharfenberger, Jürgen Adamy
2016 — conf
Generic hypothesis generation for small and distant objects.
ITSC
Ann-Katrin Batzer, Christian Scharfenberger, Michelle Karg, Stefan Lueke, Jürgen Adamy
2016 J jnl
Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress.
IEEE Syst. J.
Roshanak Houmanfar, Michelle Karg, Dana Kulic
2016 J jnl
Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis.
IEEE Trans. Hum. Mach. Syst.
Jonathan Feng-Shun Lin, Michelle Karg, Dana Kulic
2015 — conf
Rhythmic EKF for pose estimation during gait.
Humanoids
Vladimir Joukov, Vincent Bonnet, Michelle Karg, Gentiane Venture, Dana Kulic
2014 — conf
Online tracking of the lower body joint angles using IMUs for gait rehabilitation.
EMBC
Vladimir Joukov, Michelle Karg, Dana Kulic
2013 J jnl
Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation.
IEEE Trans. Affect. Comput.
Michelle Karg, Ali-Akbar Samadani, Rob Gorbet, Kolja Kühnlenz, Jesse Hoey, Dana Kulic
2013 B conf
Human Movement Analysis: Extension of the F-Statistic to Time Series Using HMM.
SMC
Michelle Karg, Wolfgang Seiberl, Jesse Hoey, Dana Kulic
2013 B conf
IMU based single stride identification of humans.
RO-MAN
Tianxiang Zhang, Michelle Karg, Jonathan Feng-Shun Lin, Dana Kulic, Gentiane Venture
2010 J jnl
Recognition of Affect Based on Gait Patterns.
IEEE Trans. Syst. Man Cybern. Part B
Michelle Karg, Kolja Kühnlenz, Martin Buss
2010 B conf
Towards mapping emotive gait patterns from human to robot.
RO-MAN
Michelle Karg, Mathias Schwimmbeck, Kolja Kühnlenz, Martin Buss
2009 — conf
A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking.
MLDM Posters
Michelle Karg, Robert Jenke, Kolja Kühnlenz, Martin Buss
2009 B conf
A comparison of PCA, KPCA and LDA for feature extraction to recognize affect in gait kinematics.
ACII
Michelle Karg, Robert Jenke, Wolfgang Seiberl, K. Kuuhnlenz, A. Schwirtz, Martin Buss
2009 B conf
A dynamic model and system-theoretic analysis of affect based on a Piecewise Linear system.
RO-MAN
Michelle Karg, Stephan Haug, Kolja Kühnlenz, Martin Buss
2008 B conf
Physiology and HRI: Recognition of over- and underchallenge.
RO-MAN
Cornelia Wendt, Michael Popp, Michelle Karg, Kolja Kühnlenz