Michelle Karg

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 20

Top Topics

Feature Representations

Object Detection

Top Venues

Publications

Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. CoRR (2024)
Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak
Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration. ECML/PKDD (5) (2023)
Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Azarm Nowzad, Sahin Albayrak
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration. CoRR (2023)
Lennart Bramlage, Michelle Karg, Cristóbal Curio
Plausible Uncertainties for Human Pose Regression. ICCV (2023)
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Residual Error: a New Performance Measure for Adversarial Robustness. CoRR (2021)
Shintaro Ono, Atsumu Kida, Yoshihiro Suda, Takanoshin Watanabe, Michelle Karg
Recognition System of Hand Signals of a Police Officer for Automated Driving. ITSC (2020)
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness. CVPR (2020)
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Vulnerability Under Adversarial Machine Learning: Bias or Variance? CoRR (2020)
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness. CoRR (2020)
Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles. CVPR Workshops (2019)
Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks. Neurocomputing 352 (2019)
Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg
SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles. CVPR Workshops (2019)
Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks. CoRR (2018)
Ann-Katrin Fattal, Michelle Karg, Christian Scharfenberger, Jürgen Adamy
Distant Vehicle Detection: How Well Can Region Proposal Networks Cope with Tiny Objects at Low Resolution? ECCV Workshops (1) (2018)
Lukás Neumann, Michelle Karg, Shanshan Zhang, Christian Scharfenberger, Eric Piegert, Sarah Mistr, Olga Prokofyeva, Robert Thiel, Andrea Vedaldi, Andrew Zisserman, Bernt Schiele
NightOwls: A Pedestrians at Night Dataset. ACCV (1) (2018)
Ann-Katrin Fattal, Michelle Karg, Christian Scharfenberger, Jürgen Adamy
Saliency-guided region proposal network for CNN based object detection. ITSC (2017)
M. J. Shafiee, Elnaz Barshan, Francis Li, Brendan Chwyl, Michelle Karg, Christian Scharfenberger, Alexander Wong
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks. ICCV Workshops (2017)
Jonathan Feng-Shun Lin, Michelle Karg, Dana Kulic
Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis. IEEE Trans. Hum. Mach. Syst. 46 (3) (2016)
Roshanak Houmanfar, Michelle Karg, Dana Kulic
Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress. IEEE Syst. J. 10 (3) (2016)
Ann-Katrin Batzer, Christian Scharfenberger, Michelle Karg, Stefan Lueke, Jürgen Adamy
Generic hypothesis generation for small and distant objects. ITSC (2016)
Vladimir Joukov, Vincent Bonnet, Michelle Karg, Gentiane Venture, Dana Kulic
Rhythmic EKF for pose estimation during gait. Humanoids (2015)
Vladimir Joukov, Michelle Karg, Dana Kulic
Online tracking of the lower body joint angles using IMUs for gait rehabilitation. EMBC (2014)
Tianxiang Zhang, Michelle Karg, Jonathan Feng-Shun Lin, Dana Kulic, Gentiane Venture
IMU based single stride identification of humans. RO-MAN (2013)
Michelle Karg, Wolfgang Seiberl, Jesse Hoey, Dana Kulic
Human Movement Analysis: Extension of the F-Statistic to Time Series Using HMM. SMC (2013)
Michelle Karg, Ali-Akbar Samadani, Rob Gorbet, Kolja Kühnlenz, Jesse Hoey, Dana Kulic
Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation. IEEE Trans. Affect. Comput. 4 (4) (2013)
Michelle Karg, Mathias Schwimmbeck, Kolja Kühnlenz, Martin Buss
Towards mapping emotive gait patterns from human to robot. RO-MAN (2010)
Michelle Karg, Kolja Kühnlenz, Martin Buss
Recognition of Affect Based on Gait Patterns. IEEE Trans. Syst. Man Cybern. Part B 40 (4) (2010)
Michelle Karg, Robert Jenke, Kolja Kühnlenz, Martin Buss
A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking. MLDM Posters (2009)
Michelle Karg, Stephan Haug, Kolja Kühnlenz, Martin Buss
A dynamic model and system-theoretic analysis of affect based on a Piecewise Linear system. RO-MAN (2009)
Michelle Karg, Robert Jenke, Wolfgang Seiberl, K. Kuuhnlenz, A. Schwirtz, Martin Buss
A comparison of PCA, KPCA and LDA for feature extraction to recognize affect in gait kinematics. ACII (2009)
Cornelia Wendt, Michael Popp, Michelle Karg, Kolja Kühnlenz
Physiology and HRI: Recognition of over- and underchallenge. RO-MAN (2008)