Physiology and HRI: Recognition of over- and underchallenge. - Cornelia Wendt; Michael Popp; Michelle Karg; Kolja Kühnlenz (RO-MAN, 2008)

A comparison of PCA, KPCA and LDA for feature extraction to recognize affect in gait kinematics. - Michelle Karg; Robert Jenke; Wolfgang Seiberl; K. Kuuhnlenz; A. Schwirtz; Martin Buss (ACII, 2009)

A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking. - Michelle Karg; Robert Jenke; Kolja Kühnlenz; Martin Buss (MLDM Posters, 2009)

A dynamic model and system-theoretic analysis of affect based on a Piecewise Linear system. - Michelle Karg; Stephan Haug; Kolja Kühnlenz; Martin Buss (RO-MAN, 2009)

Towards mapping emotive gait patterns from human to robot. - Michelle Karg; Mathias Schwimmbeck; Kolja Kühnlenz; Martin Buss (RO-MAN, 2010)

Recognition of Affect Based on Gait Patterns. - Michelle Karg; Kolja Kühnlenz; Martin Buss (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Towards the detection of unusual temporal events during activities using HMMs. - Shehroz S. Khan; Michelle E. Karg; Jesse Hoey; Dana Kulic (UbiComp, 2012)

Pattern recognition algorithms for gait analysis with application to affective computing. - Michelle E. Karg (2012)

IMU based single stride identification of humans. - Tianxiang Zhang; Michelle Karg; Jonathan Feng-Shun Lin; Dana Kulic; Gentiane Venture (RO-MAN, 2013)

Human Movement Analysis: Extension of the F-Statistic to Time Series Using HMM. - Michelle Karg; Wolfgang Seiberl; Jesse Hoey; Dana Kulic (SMC, 2013)

Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation. - Michelle Karg; Ali-Akbar Samadani; Rob Gorbet; Kolja Kühnlenz; Jesse Hoey; Dana Kulic (IEEE Trans. Affect. Comput., 2013)

Online tracking of the lower body joint angles using IMUs for gait rehabilitation. - Vladimir Joukov; Michelle Karg; Dana Kulic (EMBC, 2014)

X-Factor HMMs for Detecting Falls in the Absence of Fall-Specific Training Data. - Shehroz S. Khan; Michelle E. Karg; Dana Kulic; Jesse Hoey (IWAAL, 2014)

Rhythmic EKF for pose estimation during gait. - Vladimir Joukov; Vincent Bonnet; Michelle Karg; Gentiane Venture; Dana Kulic (Humanoids, 2015)

Detecting falls with X-Factor HMMs when the training data for falls is not available. - Shehroz S. Khan; Michelle E. Karg; Dana Kulic; Jesse Hoey (CoRR, 2015)

Generic hypothesis generation for small and distant objects. - Ann-Katrin Batzer; Christian Scharfenberger; Michelle Karg; Stefan Lueke; Jürgen Adamy (ITSC, 2016)

Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress. - Roshanak Houmanfar; Michelle Karg; Dana Kulic (IEEE Syst. J., 2016)

Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis. - Jonathan Feng-Shun Lin; Michelle Karg; Dana Kulic (IEEE Trans. Hum. Mach. Syst., 2016)

Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks. - M. J. Shafiee; Elnaz Barshan; Francis Li; Brendan Chwyl; Michelle Karg; Christian Scharfenberger; Alexander Wong (ICCV Workshops, 2017)

Saliency-guided region proposal network for CNN based object detection. - Ann-Katrin Fattal; Michelle Karg; Christian Scharfenberger; Jürgen Adamy (ITSC, 2017)

Detecting falls with X-Factor Hidden Markov Models. - Shehroz S. Khan; Michelle E. Karg; Dana Kulic; Jesse Hoey (Appl. Soft Comput., 2017)

NightOwls: A Pedestrians at Night Dataset. - Lukás Neumann; Michelle Karg; Shanshan Zhang 001; Christian Scharfenberger; Eric Piegert; Sarah Mistr; Olga Prokofyeva; Robert Thiel; Andrea Vedaldi; Andrew Zisserman; Bernt Schiele (ACCV (1), 2018)

Distant Vehicle Detection: How Well Can Region Proposal Networks Cope with Tiny Objects at Low Resolution? - Ann-Katrin Fattal; Michelle Karg; Christian Scharfenberger; Jürgen Adamy (ECCV Workshops (1), 2018)

SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles. - Ibrahim Ben Daya; Mohammad Javad Shafiee; Michelle Karg (CVPR Workshops, 2019)

SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles. - Ibrahim Ben Daya; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CVPR Workshops, 2019)

StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks. - Mohammad Javad Shafiee; Brendan Chwyl; Francis Li; Rongyan Chen; Michelle Karg; Christian Scharfenberger; Alexander Wong (Neurocomputing, 2019)

Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness. - Ahmadreza Jeddi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CVPR, 2020)

Recognition System of Hand Signals of a Police Officer for Automated Driving. - Shintaro Ono; Atsumu Kida; Yoshihiro Suda; Takanoshin Watanabe; Michelle Karg (ITSC, 2020)

Vulnerability Under Adversarial Machine Learning: Bias or Variance? - Hossein Aboutalebi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CoRR, 2020)

Deep Learning-Based Pedestrian Detection for Automated Driving: Achievements and Future Challenges. - Michelle Karg; Christian Scharfenberger (Development and Analysis of Deep Learning Architectures, 2020)

Residual Error: a New Performance Measure for Adversarial Robustness. - Hossein Aboutalebi; Mohammad Javad Shafiee; Michelle Karg; Christian Scharfenberger; Alexander Wong (CoRR, 2021)

Plausible Uncertainties for Human Pose Regression. - Lennart Bramlage; Michelle Karg; Cristóbal Curio (ICCV, 2023)

Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration. - Moussa Kassem Sbeyti; Michelle Karg; Christian Wirth 001; Azarm Nowzad; Sahin Albayrak (ECML/PKDD (5), 2023)

Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration. - Moussa Kassem Sbeyti; Michelle Karg; Christian Wirth 001; Azarm Nowzad; Sahin Albayrak (CoRR, 2023)

Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. - Moussa Kassem Sbeyti; Michelle Karg; Christian Wirth 001; Nadja Klein; Sahin Albayrak (UAI, 2024)

Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift. - Fabian Diet; Moussa Kassem Sbeyti; Michelle Karg (CoRR, 2024)