Michelle Karg
According to our database1,
Michelle Karg
authored at least 34 papers
between 2008 and 2023.
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Bibliography
2023
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration.
CoRR, 2023
Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2021
2020
Deep Learning-Based Pedestrian Detection for Automated Driving: Achievements and Future Challenges.
Proceedings of the Development and Analysis of Deep Learning Architectures, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
StressedNets: Efficient feature representations via stress-induced evolutionary synthesis of deep neural networks.
Neurocomputing, 2019
SANE: Exploring Adversarial Robustness With Stochastically Activated Network Ensembles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
SANE: Towards Improved Prediction Robustness via Stochastically Activated Network Ensembles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019
2018
Distant Vehicle Detection: How Well Can Region Proposal Networks Cope with Tiny Objects at Low Resolution?
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017
Learning Efficient Deep Feature Representations via Transgenerational Genetic Transmission of Environmental Information During Evolutionary Synthesis of Deep Neural Networks.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017
2016
IEEE Trans. Hum. Mach. Syst., 2016
Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress.
IEEE Syst. J., 2016
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016
2015
Detecting falls with X-Factor HMMs when the training data for falls is not available.
CoRR, 2015
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015
2014
Proceedings of the Ambient Assisted Living and Daily Activities, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Body Movements for Affective Expression: A Survey of Automatic Recognition and Generation.
IEEE Trans. Affect. Comput., 2013
Proceedings of the IEEE International Conference on Systems, 2013
Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication, 2013
2012
Pattern recognition algorithms for gait analysis with application to affective computing.
PhD thesis, 2012
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012
2010
IEEE Trans. Syst. Man Cybern. Part B, 2010
Proceedings of the 19th IEEE International Conference on Robot and Human Interactive Communication, 2010
2009
A dynamic model and system-theoretic analysis of affect based on a Piecewise Linear system.
Proceedings of the 18th IEEE International Symposium on Robot and Human Interactive Communication, 2009
A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009
A comparison of PCA, KPCA and LDA for feature extraction to recognize affect in gait kinematics.
Proceedings of the Affective Computing and Intelligent Interaction, 2009
2008
Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, 2008