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Andreas Møgelmose
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2020 – today
- 2024
- [c25]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 - [c24]Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi:
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. IV 2024: 104-109 - [c23]Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer, Ross Greer, Christian Creß, Andreas Møgelmose, Mohan M. Trivedi, Alois C. Knoll:
ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. IV 2024: 1699-1706 - [c22]Rasmus Munksø, Mathias Viborg Andersen, Lau Nørgaard, Andreas Møgelmose
, Thomas B. Moeslund
Enabling RAW Image Classification Using Existing RGB Classifiers. VISIGRAPP (2): VISAPP 2024: 123-129 - [i10]Ross Greer, Bjørk Antoniussen, Mathias V. Andersen, Andreas Møgelmose, Mohan M. Trivedi:
The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration. CoRR abs/2401.16634 (2024) - [i9]Ahmed Ghita, Bjørk Antoniussen, Walter Zimmer
ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. CoRR abs/2402.03235 (2024) - [i8]Mathias Viborg Andersen, Ross Greer, Andreas Møgelmose, Mohan M. Trivedi:
Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. CoRR abs/2403.00196 (2024) - [i7]Christos Kantas, Bjørk Antoniussen, Mathias V. Andersen, Rasmus Munksø, Shobhit Kotnala, Simon Buus Jensen, Andreas Møgelmose, Lau Nørgaard, Thomas B. Moeslund:
Raw Instinct: Trust Your Classifiers and Skip the Conversion. CoRR abs/2403.14439 (2024) - [i6]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) - [i5]Ross Greer, Bjørk Antoniussen, Andreas Møgelmose, Mohan M. Trivedi:
Language-Driven Active Learning for Diverse Open-Set 3D Object Detection. CoRR abs/2404.12856 (2024) - [i4]Ross Greer, Mathias Viborg Andersen, Andreas Møgelmose, Mohan M. Trivedi:
Driver Activity Classification Using Generalizable Representations from Vision-Language Models. CoRR abs/2404.14906 (2024) - [i3]Neelu Madan, Andreas Møgelmose, Rajat Modi, Yogesh S. Rawat, Thomas B. Moeslund:
Foundation Models for Video Understanding: A Survey. CoRR abs/2405.03770 (2024) - 2023
- [j8]Galadrielle Humblot-Renaux
From CAD Models to Soft Point Cloud Labels: An Automatic Annotation Pipeline for Cheaply Supervised 3D Semantic Segmentation. Remote. Sens. 15(14): 3578 (2023) - [c21]Jesper Kjærgaard Mortensen, Vinicius Soares Matthiesen, Jacobo González de Frutos, Kata Bujdosó, Jesper Thøger Christensen, Andreas Møgelmose
Semantic Segmentation of Golf Courses for Course Rating Assistance. ICME Workshops 2023: 254-259 - [c20]Benjamin J. Høj, Andreas Møgelmose
Synthesizing Hard Training Data from Latent Hierarchical Representations. SCIA (2) 2023: 49-58 - [i2]Galadrielle Humblot-Renaux, Simon Buus Jensen, Andreas Møgelmose:
From CAD models to soft point cloud labels: An automatic annotation pipeline for cheaply supervised 3D semantic segmentation. CoRR abs/2302.03114 (2023) - 2021
- [c19]Thor Andre Sorensen, Natalie Mark, Andreas Møgelmose
A RANSAC Based CAD Mesh Reconstruction Method Using Point Clustering for Mesh Connectivity. ICMVA 2021: 61-65 - [c18]Mathias Gudiksen, Sebastian Falk, Lasse Nymark Hansen, Frederik Brønnum Jensen, Andreas Møgelmose
Facial Exposure Quality Estimation for Aesthetic Evaluation. VISIGRAPP (5: VISAPP) 2021: 247-255 - [c17]Guillaume Pascal, Andreas Møgelmose
Evaluation of Knee Implant Alignment using Radon Transformation. VISIGRAPP (4: VISAPP) 2021: 587-594 - 2020
- [c16]Morten B. Jensen, Andreas Møgelmose
Presenting the Multi-view Traffic Intersection Dataset (MTID): A Detailed Traffic-Surveillance Dataset. ITSC 2020: 1-6
2010 – 2019
- 2018
- [j7]Huamin Ren
Back-dropout transfer learning for action recognition. IET Comput. Vis. 12(4): 484-491 (2018) - [i1]Chris H. Bahnsen, Andreas Møgelmose, Thomas B. Moeslund:
The AAU Multimodal Annotation Toolboxes: Annotating Objects in Images and Videos. CoRR abs/1809.03171 (2018) - 2016
- [j6]Cristina Palmero
Multi-modal RGB-Depth-Thermal Human Body Segmentation. Int. J. Comput. Vis. 118(2): 217-239 (2016) - [j5]Morten Borno Jensen, Mark Philip Philipsen, Andreas Møgelmose
Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives. IEEE Trans. Intell. Transp. Syst. 17(7): 1800-1815 (2016) - [j4]Yuan Li, Andreas Møgelmose
Pushing the "Speed Limit": High-Accuracy US Traffic Sign Recognition With Convolutional Neural Networks. IEEE Trans. Intell. Veh. 1(2): 167-176 (2016) - [c15]Miklas S. Kristoffersen
Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies. CVPR Workshops 2016: 1584-1591 - [c14]Andreas Møgelmose
Analyzing Wheels of Vehicles in Motion Using Laser Scanning. CVPR Workshops 2016: 1601-1608 - 2015
- [j3]Andreas Møgelmose
Detection of U.S. Traffic Signs. IEEE Trans. Intell. Transp. Syst. 16(6): 3116-3125 (2015) - [c13]Mark P. Philipsen, Morten B. Jensen, Mohan M. Trivedi, Andreas Møgelmose
Ongoing work on traffic lights: Detection and evaluation. AVSS 2015: 1-6 - [c12]Morten B. Jensen, Mark P. Philipsen, Chris Bahnsen
Traffic Light Detection at Night: Comparison of a Learning-Based Detector and Three Model-Based Detectors. ISVC (1) 2015: 774-783 - [c11]Mark Philip Philipsen, Morten Borno Jensen, Andreas Møgelmose
Traffic Light Detection: A Learning Algorithm and Evaluations on Challenging Dataset. ITSC 2015: 2341-2345 - [c10]Andreas Møgelmose
Trajectory analysis and prediction for improved pedestrian safety: Integrated framework and evaluations. Intelligent Vehicles Symposium 2015: 330-335 - [c9]Mark P. Philipsen, Morten B. Jensen, Ravi Kumar Satzoda, Mohan M. Trivedi, Andreas Møgelmose
Day and night-time drive analysis using stereo vision for naturalistic driving studies. Intelligent Vehicles Symposium 2015: 1226-1231 - [c8]Andreas Møgelmose
Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors. VISAPP (2) 2015: 244-251 - 2014
- [c7]Ashish Tawari, Andreas Møgelmose
Attention estimation by simultaneous analysis of viewer and view. ITSC 2014: 1381-1387 - [c6]Andreas Møgelmose
Traffic sign detection for U.S. roads: Remaining challenges and a case for tracking. ITSC 2014: 1394-1399 - 2013
- [j2]Antonio Prioletti, Andreas Møgelmose
Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation. IEEE Trans. Intell. Transp. Syst. 14(3): 1346-1359 (2013) - [c5]Andreas Møgelmose
Tri-modal Person Re-identification with RGB, Depth and Thermal Features. CVPR Workshops 2013: 301-307 - [c4]Andreas Møgelmose
Multimodal person re-identification using RGB-D sensors and a transient identification database. IWBF 2013: 1-4 - 2012
- [j1]Andreas Møgelmose
Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey. IEEE Trans. Intell. Transp. Syst. 13(4): 1484-1497 (2012) - [c3]Andreas Møgelmose, Mohan M. Trivedi, Thomas B. Moeslund:
Learning to detect traffic signs: Comparative evaluation of synthetic and real-world datasets. ICPR 2012: 3452-3455 - [c2]Andreas Møgelmose
Two-stage part-based pedestrian detection. ITSC 2012: 73-77 - [c1]Andreas Møgelmose
Traffic sign detection and analysis: Recent studies and emerging trends. ITSC 2012: 1310-1314
Coauthor Index
aka: Thomas Baltzer Moeslund
aka: Mohan Manubhai Trivedi
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