Learning to detect traffic signs: Comparative evaluation of synthetic and real-world datasets. - Andreas Møgelmose; Mohan M. Trivedi; Thomas B. Moeslund (ICPR, 2012)

Two-stage part-based pedestrian detection. - Andreas Møgelmose; Antonio Prioletti; Mohan M. Trivedi; Alberto Broggi; Thomas B. Moeslund (ITSC, 2012)

Traffic sign detection and analysis: Recent studies and emerging trends. - Andreas Møgelmose; Mohan M. Trivedi; Thomas B. Moeslund (ITSC, 2012)

Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey. - Andreas Møgelmose; Mohan M. Trivedi; Thomas B. Moeslund (IEEE Trans. Intell. Transp. Syst., 2012)

Tri-modal Person Re-identification with RGB, Depth and Thermal Features. - Andreas Møgelmose; Chris Bahnsen; Thomas B. Moeslund; Albert Clapés; Sergio Escalera (CVPR Workshops, 2013)

Multimodal person re-identification using RGB-D sensors and a transient identification database. - Andreas Møgelmose; Thomas B. Moeslund; Kamal Nasrollahi (IWBF, 2013)

Part-Based Pedestrian Detection and Feature-Based Tracking for Driver Assistance: Real-Time, Robust Algorithms, and Evaluation. - Antonio Prioletti; Andreas Møgelmose; Paolo Grisleri; Mohan M. Trivedi; Alberto Broggi; Thomas B. Moeslund (IEEE Trans. Intell. Transp. Syst., 2013)

Traffic sign detection for U.S. roads: Remaining challenges and a case for tracking. - Andreas Møgelmose; Dongran Liu; Mohan M. Trivedi (ITSC, 2014)

Attention estimation by simultaneous analysis of viewer and view. - Ashish Tawari; Andreas Møgelmose; Sujitha Martin; Thomas B. Moeslund; Mohan M. Trivedi (ITSC, 2014)

Ongoing work on traffic lights: Detection and evaluation. - Mark P. Philipsen; Morten B. Jensen; Mohan M. Trivedi; Andreas Møgelmose; Thomas B. Moeslund (AVSS, 2015)

Traffic Light Detection at Night: Comparison of a Learning-Based Detector and Three Model-Based Detectors. - Morten B. Jensen; Mark P. Philipsen; Chris Bahnsen; Andreas Møgelmose; Thomas B. Moeslund; Mohan M. Trivedi (ISVC (1), 2015)

Traffic Light Detection: A Learning Algorithm and Evaluations on Challenging Dataset. - Mark Philip Philipsen; Morten Borno Jensen; Andreas Møgelmose; Thomas B. Moeslund; Mohan M. Trivedi (ITSC, 2015)

Trajectory analysis and prediction for improved pedestrian safety: Integrated framework and evaluations. - Andreas Møgelmose; Mohan M. Trivedi; Thomas B. Moeslund (Intelligent Vehicles Symposium, 2015)

Day and night-time drive analysis using stereo vision for naturalistic driving studies. - Mark P. Philipsen; Morten B. Jensen; Ravi Kumar Satzoda; Mohan M. Trivedi; Andreas Møgelmose; Thomas B. Moeslund (Intelligent Vehicles Symposium, 2015)

Comparison of Multi-shot Models for Short-term Re-identification of People using RGB-D Sensors. - Andreas Møgelmose; Chris Bahnsen; Thomas B. Moeslund (VISAPP (2), 2015)

Detection of U.S. Traffic Signs. - Andreas Møgelmose; Dongran Liu; Mohan Manubhai Trivedi (IEEE Trans. Intell. Transp. Syst., 2015)

Towards Semantic Understanding of Surrounding Vehicular Maneuvers: A Panoramic Vision-Based Framework for Real-World Highway Studies. - Miklas S. Kristoffersen; Jacob V. Dueholm; Ravi Kumar Satzoda; Mohan M. Trivedi; Andreas Møgelmose; Thomas B. Moeslund (CVPR Workshops, 2016)

Analyzing Wheels of Vehicles in Motion Using Laser Scanning. - Andreas Møgelmose; Thomas B. Moeslund (CVPR Workshops, 2016)

Multi-modal RGB-Depth-Thermal Human Body Segmentation. - Cristina Palmero; Albert Clapés; Chris Bahnsen; Andreas Møgelmose; Thomas B. Moeslund; Sergio Escalera (Int. J. Comput. Vis., 2016)

Vision for Looking at Traffic Lights: Issues, Survey, and Perspectives. - Morten Borno Jensen; Mark Philip Philipsen; Andreas Møgelmose; Thomas Baltzer Moeslund; Mohan Manubhai Trivedi (IEEE Trans. Intell. Transp. Syst., 2016)

Pushing the "Speed Limit": High-Accuracy US Traffic Sign Recognition With Convolutional Neural Networks. - Yuan Li; Andreas Møgelmose; Mohan Manubhai Trivedi (IEEE Trans. Intell. Veh., 2016)

The AAU Multimodal Annotation Toolboxes: Annotating Objects in Images and Videos. - Chris H. Bahnsen; Andreas Møgelmose; Thomas B. Moeslund (CoRR, 2018)

Back-dropout transfer learning for action recognition. - Huamin Ren; Nattiya Kanhabua; Andreas Møgelmose; Weifeng Liu 002; Kaustubh Kulkarni; Sergio Escalera; Xavier Baró; Thomas B. Moeslund (IET Comput. Vis., 2018)

Presenting the Multi-view Traffic Intersection Dataset (MTID): A Detailed Traffic-Surveillance Dataset. - Morten B. Jensen; Andreas Møgelmose; Thomas B. Moeslund (ITSC, 2020)

A RANSAC Based CAD Mesh Reconstruction Method Using Point Clustering for Mesh Connectivity. - Thor Andre Sorensen; Natalie Mark; Andreas Møgelmose (ICMVA, 2021)

Facial Exposure Quality Estimation for Aesthetic Evaluation. - Mathias Gudiksen; Sebastian Falk; Lasse Nymark Hansen; Frederik Brønnum Jensen; Andreas Møgelmose (VISIGRAPP (5: VISAPP), 2021)

Evaluation of Knee Implant Alignment using Radon Transformation. - Guillaume Pascal; Andreas Møgelmose; Andreas Kappel (VISIGRAPP (4: VISAPP), 2021)

Semantic Segmentation of Golf Courses for Course Rating Assistance. - Jesper Kjærgaard Mortensen; Vinicius Soares Matthiesen; Jacobo González de Frutos; Kata Bujdosó; Jesper Thøger Christensen; Andreas Møgelmose (ICME Workshops, 2023)

Synthesizing Hard Training Data from Latent Hierarchical Representations. - Benjamin J. Høj; Andreas Møgelmose (SCIA (2), 2023)

From CAD Models to Soft Point Cloud Labels: An Automatic Annotation Pipeline for Cheaply Supervised 3D Semantic Segmentation. - Galadrielle Humblot-Renaux; Simon Buus Jensen; Andreas Møgelmose (Remote. Sens., 2023)

OpenTrench3D: A Photogrammetric 3D Point Cloud Dataset for Semantic Segmentation of Underground Utilities. - Lasse H. Hansen; Simon Buus Jensen; Mark P. Philipsen; Andreas Møgelmose; Lars Bodum; Thomas B. Moeslund (CVPR Workshops, 2024)

Learning to Find Missing Video Frames with Synthetic Data Augmentation: A General Framework and Application in Generating Thermal Images Using RGB Cameras. - Mathias Viborg Andersen; Ross Greer; Andreas Møgelmose; Mohan M. Trivedi (IV, 2024)

ActiveAnno3D - An Active Learning Framework for Multi-Modal 3D Object Detection. - Ahmed Alaaeldin Ghita; Bjørk Antoniussen; Walter Zimmer; Ross Greer; Christian Creß; Andreas Møgelmose; Mohan M. Trivedi; Alois C. Knoll (IV, 2024)

Enabling RAW Image Classification Using Existing RGB Classifiers. - Rasmus Munksø; Mathias Viborg Andersen; Lau Nørgaard; Andreas Møgelmose; Thomas B. Moeslund (VISIGRAPP (2): VISAPP, 2024)

The Why, When, and How to Use Active Learning in Large-Data-Driven 3D Object Detection for Safe Autonomous Driving: An Empirical Exploration. - Ross Greer; Bjørk Antoniussen; Mathias V. Andersen; Andreas Møgelmose; Mohan M. Trivedi (CoRR, 2024)

Raw Instinct: Trust Your Classifiers and Skip the Conversion. - Christos Kantas; Bjørk Antoniussen; Mathias V. Andersen; Rasmus Munksø; Shobhit Kotnala; Simon Buus Jensen; Andreas Møgelmose; Lau Nørgaard; Thomas B. Moeslund (CoRR, 2024)

Driver Activity Classification Using Generalizable Representations from Vision-Language Models. - Ross Greer; Mathias Viborg Andersen; Andreas Møgelmose; Mohan M. Trivedi (CoRR, 2024)

Foundation Models for Video Understanding: A Survey. - Neelu Madan; Andreas Møgelmose; Rajat Modi; Yogesh S. Rawat; Thomas B. Moeslund (CoRR, 2024)

Can Vision-Language Models Understand and Interpret Dynamic Gestures from Pedestrians? Pilot Datasets and Exploration Towards Instructive Nonverbal Commands for Cooperative Autonomous Vehicles. - Tonko E. W. Bossen; Andreas Møgelmose; Ross Greer (CVPR Workshops, 2025)

Automated Performance Metrics for Objective Surgical Skill Assessment in Laparoscopic Training. - Asaf Arad; Julia Leyva I. Torres; Kristian Nyborg Jespersen; Nicolaj Boelt Pedersen; Pablo Rey Valiente; Alaa El-Hussuna; Andreas Møgelmose (VISIGRAPP (3): VISAPP, 2025)

Language-Driven Active Learning for Diverse Open-Set 3D Object Detection. - Ross Greer; Bjørk Antoniussen; Andreas Møgelmose; Mohan M. Trivedi (WACV (Workshops), 2025)

Multi-modal classification of forest biodiversity potential from 2D orthophotos and 3D airborne laser scanning point clouds. - Simon Buus Jensen; Stefan Oehmcke; Andreas Møgelmose; Meysam Madadi; Christian Igel; Sergio Escalera; Thomas B. Moeslund (CoRR, 2025)

Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving Safety. - Shashank Shriram; Srinivasa Perisetla; Aryan Keskar; Harsha Krishnaswamy; Tonko Emil Westerhof Bossen; Andreas Møgelmose; Ross Greer (CoRR, 2025)