Mark P. Philipsen

Orcid: 0000-0002-9212-2544

According to our database1, Mark P. Philipsen authored at least 20 papers between 2014 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

2022
Anomaly Detection for Agricultural Vehicles Using Autoencoders.
Sensors, 2022

Detecting Anomalies Reliably in Long-term Surveillance Systems.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

2021
3D Sensors for Sewer Inspection: A Quantitative Review and Analysis.
Sensors, 2021

Supervised versus Self-supervised Assistant for Surveillance of Harbor Fronts.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Seasons in Drift: A Long Term Thermal Imaging Dataset for Studying Concept Drift.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Generalizing Floor Plans Using Graph Neural Networks.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Machine Vision for Aesthetic Quality Control of Reflective Surfaces.
Proceedings of the International Conference on Artificial Intelligence and Computer Vision, 2021

2020
Cutting Pose Prediction from Point Clouds.
Sensors, 2020

Prediction Confidence from Neighbors.
CoRR, 2020

Distance in Latent Space as Novelty Measure.
CoRR, 2020

2018
Organ Segmentation in Poultry Viscera Using RGB-D.
Sensors, 2018

2016
Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives.
IEEE Trans. Intell. Transp. Syst., 2016

Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights.
Proceedings of the Advances in Visual Computing - 12th International Symposium, 2016

RGB-D Segmentation of Poultry Entrails.
Proceedings of the Articulated Motion and Deformable Objects, 2016

2015
Day and night-time drive analysis using stereo vision for naturalistic driving studies.
Proceedings of the 2015 IEEE Intelligent Vehicles Symposium, 2015

Traffic Light Detection: A Learning Algorithm and Evaluations on Challenging Dataset.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Traffic Light Detection at Night: Comparison of a Learning-Based Detector and Three Model-Based Detectors.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Ongoing work on traffic lights: Detection and evaluation.
Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015

2014
Counting the Crowd at a Carnival.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014


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