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Journal Articles
- 2022
[j5]Esma Mujkic
, Mark P. Philipsen, Thomas B. Moeslund, Martin P. Christiansen, Ole Ravn:
Anomaly Detection for Agricultural Vehicles Using Autoencoders. Sensors 22(10): 3608 (2022)- 2021
- [j4]Chris H. Bahnsen, Anders Skaarup Johansen, Mark P. Philipsen, Jesper W. Henriksen, Kamal Nasrollahi, Thomas B. Moeslund:
3D Sensors for Sewer Inspection: A Quantitative Review and Analysis. Sensors 21(7): 2553 (2021) - 2020
- [j3]Mark P. Philipsen, Thomas B. Moeslund:
Cutting Pose Prediction from Point Clouds. Sensors 20(6): 1563 (2020) - 2018
- [j2]Mark Philip Philipsen, Jacob Velling Dueholm, Anders Jørgensen, Sergio Escalera, Thomas Baltzer Moeslund:
Organ Segmentation in Poultry Viscera Using RGB-D. Sensors 18(1): 117 (2018) - 2016
- [j1]Morten Borno Jensen, Mark Philip Philipsen, Andreas Møgelmose, Thomas Baltzer Moeslund, Mohan Manubhai Trivedi:
Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives. IEEE Trans. Intell. Transp. Syst. 17(7): 1800-1815 (2016)
Conference and Workshop Papers
- 2024
- [c14]Lasse H. Hansen, Simon Buus Jensen, Mark P. Philipsen, Andreas Møgelmose, Lars Bodum, Thomas B. Moeslund:
OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities. CVPR Workshops 2024: 7646-7655 - 2023
- [c13]Neelu Madan, Mia Sandra Nicole Siemon, Magnus Kaufmann Gjerde, Bastian Starup Petersson, Arijus Grotuzas, Malthe Aaholm Esbensen, Ivan Adriyanov Nikolov, Mark Philip Philipsen, Kamal Nasrollahi, Thomas B. Moeslund:
ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios. WACV (Workshops) 2023: 130-139 - 2022
- [c12]Jinsong Liu, Ivan A. Nikolov, Mark P. Philipsen, Thomas B. Moeslund:
Detecting Anomalies Reliably in Long-term Surveillance Systems. VISIGRAPP (4: VISAPP) 2022: 999-1009 - 2021
- [c11]Anne Juhler Hansen, Mark P. Philipsen, Hendrik Knoche, Thomas B. Moeslund:
Machine Vision for Aesthetic Quality Control of Reflective Surfaces. AICV 2021: 389-401 - [c10]Christoffer P. Simonsen, Frederik M. Thiesson, Mark P. Philipsen, Thomas B. Moeslund:
Generalizing Floor Plans Using Graph Neural Networks. ICIP 2021: 654-658 - [c9]Ivan A. Nikolov, Mark Philip Philipsen, Jinsong Liu, Jacob V. Dueholm, Anders Skaarup Johansen, Kamal Nasrollahi, Thomas B. Moeslund:
Seasons in Drift: A Long Term Thermal Imaging Dataset for Studying Concept Drift. NeurIPS Datasets and Benchmarks 2021 - [c8]Jinsong Liu, Mark P. Philipsen, Thomas B. Moeslund:
Supervised versus Self-supervised Assistant for Surveillance of Harbor Fronts. VISIGRAPP (5: VISAPP) 2021: 610-617 - 2016
- [c7]Mark Philip Philipsen, Anders Jørgensen, Sergio Escalera, Thomas B. Moeslund:
RGB-D Segmentation of Poultry Entrails. AMDO 2016: 168-174 - [c6]Morten B. Jensen, Mark P. Philipsen, Thomas B. Moeslund, Mohan M. Trivedi:
Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights. ISVC (2) 2016: 92-100 - 2015
- [c5]Mark P. Philipsen, Morten B. Jensen, Mohan M. Trivedi, Andreas Møgelmose, Thomas B. Moeslund:
Ongoing work on traffic lights: Detection and evaluation. AVSS 2015: 1-6 - [c4]Morten B. Jensen, Mark P. Philipsen, Chris Bahnsen, Andreas Møgelmose, Thomas B. Moeslund, Mohan M. Trivedi:
Traffic Light Detection at Night: Comparison of a Learning-Based Detector and Three Model-Based Detectors. ISVC (1) 2015: 774-783 - [c3]Mark Philip Philipsen, Morten Borno Jensen, Andreas Møgelmose, Thomas B. Moeslund, Mohan M. Trivedi:
Traffic Light Detection: A Learning Algorithm and Evaluations on Challenging Dataset. ITSC 2015: 2341-2345 - [c2]Mark P. Philipsen, Morten B. Jensen, Ravi Kumar Satzoda, Mohan M. Trivedi, Andreas Møgelmose, Thomas B. Moeslund:
Day and night-time drive analysis using stereo vision for naturalistic driving studies. Intelligent Vehicles Symposium 2015: 1226-1231 - 2014
- [c1]Jesper B. Pedersen, J. B. Markussen, Mark P. Philipsen, Morten B. Jensen, Thomas B. Moeslund:
Counting the Crowd at a Carnival. ISVC (2) 2014: 706-715
Informal and Other Publications
- 2024
- [i3]Lasse H. Hansen, Simon Buus Jensen, Mark P. Philipsen, Andreas Møgelmose, Lars Bodum, Thomas B. Moeslund:
OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities. CoRR abs/2404.07711 (2024) - 2020
- [i2]Mark Philip Philipsen, Thomas Baltzer Moeslund:
Distance in Latent Space as Novelty Measure. CoRR abs/2003.14043 (2020) - [i1]Mark Philip Philipsen, Thomas Baltzer Moeslund:
Prediction Confidence from Neighbors. CoRR abs/2003.14047 (2020)
Coauthor Index
aka: Thomas Baltzer Moeslund
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