Christian Scharfenberger

Affiliations:
  • University of Waterloo, Canada


According to our database1, Christian Scharfenberger authored at least 38 papers between 2009 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2021
Residual Error: a New Performance Measure for Adversarial Robustness.
CoRR, 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

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

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
Simultaneous Projector-Camera Self-Calibration for Three-Dimensional Reconstruction and Projection Mapping.
IEEE Trans. Computational Imaging, 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
NeRD: A Neural Response Divergence Approach to Visual Saliency Detection.
IEEE Signal Process. Lett., 2016

NeRD: a Neural Response Divergence Approach to Visual Salience Detection.
CoRR, 2016

Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images.
IEEE Access, 2016

Generic hypothesis generation for small and distant objects.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Spatio-temporal saliency detection using abstracted fully-connected graphical models.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Robust Non-saliency Guided Watermarking.
Proceedings of the 13th Conference on Computer and Robot Vision, 2016

2015
Structure-Guided Statistical Textural Distinctiveness for Salient Region Detection in Natural Images.
IEEE Trans. Image Process., 2015

Non-contact transmittance photoplethysmographic imaging (PPGI) for long-distance cardiovascular monitoring.
CoRR, 2015

Return of grid seams: A superpixel algorithm using discontinuous multi-functional energy seam carving.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

DESIRe: Discontinuous energy seam carving for image retargeting via structural and textural energy functionals.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015

Multi-polarimetric textural distinctiveness for outdoor robotic saliency detection.
Proceedings of the Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 2015

Simultaneous Scene Reconstruction and Auto-Calibration Using Constrained Iterative Closest Point for 3D Depth Sensor Array.
Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2014
Enhanced Decoupled Active Contour Using Structural and Textural Variation Energy Functionals.
IEEE Trans. Image Process., 2014

Multispectral Stereoscopic Imaging Device: Simultaneous Multiview Imaging From the Visible to the Near-Infrared.
IEEE Trans. Instrum. Meas., 2014

Mapping, Planning, and Sample Detection Strategies for Autonomous Exploration.
J. Field Robotics, 2014

Hybrid structural and texture distinctiveness vector field convolution for region segmentation.
Comput. Vis. Image Underst., 2014

Image saliency detection via multi-scale statistical non-redundancy modeling.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Semi-automatic Fisher-Tippett guided active contour for lumbar multifidus muscle segmentation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Statistical Textural Distinctiveness for Salient Region Detection in Natural Images.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Existence Detection of Objects in Images for Robot Vision Using Saliency Histogram Features.
Proceedings of the Tenth Conference on Computer and Robot Vision, 2013

2012
Robust image processing for an omnidirectional camera-based smart car door.
ACM Trans. Embed. Comput. Syst., 2012

Anti-trap protection for an intelligent smart car door system.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Motion stereo-based collision avoidance for an intelligent smart car door system.
Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems, 2012

Robust Body-Height Estimation for Applications in Automotive Industry.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012

2010
Driver Body-Height Prediction for an Ergonomically Optimized Ingress Using a Single Omnidirectional Camera.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Image Rectification - Evaluation of Various Projections for Omnidirectional Vision Sensors using the Pixel Density.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009


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