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Michelle Karg
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2020 – today
- 2024
- [i8]Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth, Nadja Klein, Sahin Albayrak:
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection. CoRR abs/2404.17427 (2024) - [i7]Fabian Diet, Moussa Kassem Sbeyti, Michelle Karg:
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift. CoRR abs/2409.03543 (2024) - 2023
- [c22]Lennart Bramlage, Michelle Karg, Cristóbal Curio:
Plausible Uncertainties for Human Pose Regression. ICCV 2023: 15087-15096 - [c21]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: 52-68 - [i6]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 abs/2306.08981 (2023) - 2021
- [i5]Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Residual Error: a New Performance Measure for Adversarial Robustness. CoRR abs/2106.10212 (2021) - 2020
- [c20]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: 1238-1247 - [c19]Shintaro Ono, Atsumu Kida, Yoshihiro Suda, Takanoshin Watanabe, Michelle Karg:
Recognition System of Hand Signals of a Police Officer for Automated Driving. ITSC 2020: 1-6 - [p1]Michelle Karg, Christian Scharfenberger:
Deep Learning-Based Pedestrian Detection for Automated Driving: Achievements and Future Challenges. Development and Analysis of Deep Learning Architectures 2020: 117-143 - [i4]Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness. CoRR abs/2003.01090 (2020) - [i3]Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
Vulnerability Under Adversarial Machine Learning: Bias or Variance? CoRR abs/2008.00138 (2020)
2010 – 2019
- 2019
- [j6]Mohammad Javad Shafiee
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks. Neurocomputing 352: 93-105 (2019) - [c18]Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong:
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles. CVPR Workshops 2019: 95-98 - [c17]Ibrahim Ben Daya, Mohammad Javad Shafiee, Michelle Karg:
SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles. CVPR Workshops 2019: 103-111 - 2018
- [c16]Lukás Neumann
NightOwls: A Pedestrians at Night Dataset. ACCV (1) 2018: 691-705 - [c15]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: 289-304 - [i2]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 abs/1801.05387 (2018) - 2017
- [j5]Shehroz S. Khan
Detecting falls with X-Factor Hidden Markov Models. Appl. Soft Comput. 55: 168-177 (2017) - [c14]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: 979-986 - [c13]Ann-Katrin Fattal, Michelle Karg, Christian Scharfenberger, Jürgen Adamy:
Saliency-guided region proposal network for CNN based object detection. ITSC 2017: 1-8 - 2016
- [j4]Roshanak Houmanfar, Michelle Karg, Dana Kulic
Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress. IEEE Syst. J. 10(3): 1014-1025 (2016) - [j3]Jonathan Feng-Shun Lin
Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis. IEEE Trans. Hum. Mach. Syst. 46(3): 325-339 (2016) - [c12]Ann-Katrin Batzer, Christian Scharfenberger, Michelle Karg, Stefan Lueke, Jürgen Adamy:
Generic hypothesis generation for small and distant objects. ITSC 2016: 2171-2178 - 2015
- [c11]Vladimir Joukov, Vincent Bonnet, Michelle Karg, Gentiane Venture
Rhythmic EKF for pose estimation during gait. Humanoids 2015: 1167-1172 - [i1]Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey:
Detecting falls with X-Factor HMMs when the training data for falls is not available. CoRR abs/1504.02141 (2015) - 2014
- [c10]Vladimir Joukov, Michelle Karg, Dana Kulic
Online tracking of the lower body joint angles using IMUs for gait rehabilitation. EMBC 2014: 2310-2313 - [c9]Shehroz S. Khan, Michelle E. Karg, Dana Kulic, Jesse Hoey:
X-Factor HMMs for Detecting Falls in the Absence of Fall-Specific Training Data. IWAAL 2014: 1-9 - 2013
- [j2]Michelle Karg, Ali-Akbar Samadani, Rob Gorbet
Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation. IEEE Trans. Affect. Comput. 4(4): 341-359 (2013) - [c8]Tianxiang Zhang, Michelle Karg, Jonathan Feng-Shun Lin
IMU based single stride identification of humans. RO-MAN 2013: 220-225 - [c7]Michelle Karg, Wolfgang Seiberl
Human Movement Analysis: Extension of the F-Statistic to Time Series Using HMM. SMC 2013: 3870-3875 - 2012
- [b1]Michelle E. Karg:
Pattern recognition algorithms for gait analysis with application to affective computing. Technical University Munich, 2012, pp. 1-155 - [c6]Shehroz S. Khan, Michelle E. Karg, Jesse Hoey, Dana Kulic:
Towards the detection of unusual temporal events during activities using HMMs. UbiComp 2012: 1075-1084 - 2010
- [j1]Michelle Karg, Kolja Kühnlenz, Martin Buss:
Recognition of Affect Based on Gait Patterns. IEEE Trans. Syst. Man Cybern. Part B 40(4): 1050-1061 (2010) - [c5]Michelle Karg, Mathias Schwimmbeck, Kolja Kühnlenz, Martin Buss:
Towards mapping emotive gait patterns from human to robot. RO-MAN 2010: 258-263
2000 – 2009
- 2009
- [c4]Michelle Karg, Robert Jenke, Wolfgang Seiberl
A comparison of PCA, KPCA and LDA for feature extraction to recognize affect in gait kinematics. ACII 2009: 1-6 - [c3]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: 51-61 - [c2]Michelle Karg, Stephan Haug
A dynamic model and system-theoretic analysis of affect based on a Piecewise Linear system. RO-MAN 2009: 238-244 - 2008
- [c1]Cornelia Wendt, Michael Popp, Michelle Karg, Kolja Kühnlenz:
Physiology and HRI: Recognition of over- and underchallenge. RO-MAN 2008: 448-452
Coauthor Index
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last updated on 2024-10-30 21:35 CET by the dblp team
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