Michelle Karg

According to our database1, Michelle Karg authored at least 29 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Deep Learning-Based Pedestrian Detection for Automated Driving: Achievements and Future Challenges.
Proceedings of the Development and Analysis of Deep Learning Architectures, 2020

Vulnerability Under Adversarial Machine Learning: Bias or Variance?
CoRR, 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

NightOwls: A Pedestrians at Night Dataset.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Detecting falls with X-Factor Hidden Markov Models.
Appl. Soft Comput., 2017

Saliency-guided region proposal network for CNN based object detection.
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
Movement Primitive Segmentation for Human Motion Modeling: A Framework for Analysis.
IEEE Trans. Hum. Mach. Syst., 2016

Movement Analysis of Rehabilitation Exercises: Distance Metrics for Measuring Patient Progress.
IEEE Syst. J., 2016

Generic hypothesis generation for small and distant objects.
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

Rhythmic EKF for pose estimation during gait.
Proceedings of the 15th IEEE-RAS International Conference on Humanoid Robots, 2015

2014
X-Factor HMMs for Detecting Falls in the Absence of Fall-Specific Training Data.
Proceedings of the Ambient Assisted Living and Daily Activities, 2014

Online tracking of the lower body joint angles using IMUs for gait rehabilitation.
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

Human Movement Analysis: Extension of the F-Statistic to Time Series Using HMM.
Proceedings of the IEEE International Conference on Systems, 2013

IMU based single stride identification of humans.
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

Towards the detection of unusual temporal events during activities using HMMs.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2010
Recognition of Affect Based on Gait Patterns.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Towards mapping emotive gait patterns from human to robot.
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
Physiology and HRI: Recognition of over- and underchallenge.
Proceedings of the 17th IEEE International Symposium on Robot and Human Interactive Communication, 2008


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