Counting the Crowd at a Carnival. - Jesper B. Pedersen; J. B. Markussen; Mark P. Philipsen; Morten B. Jensen; Thomas B. Moeslund (ISVC (2), 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)

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)

RGB-D Segmentation of Poultry Entrails. - Mark Philip Philipsen; Anders Jørgensen; Sergio Escalera; Thomas B. Moeslund (AMDO, 2016)

Comprehensive Parameter Sweep for Learning-Based Detector on Traffic Lights. - Morten B. Jensen; Mark P. Philipsen; Thomas B. Moeslund; Mohan M. Trivedi (ISVC (2), 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)

Organ Segmentation in Poultry Viscera Using RGB-D. - Mark Philip Philipsen; Jacob Velling Dueholm; Anders Jørgensen; Sergio Escalera; Thomas Baltzer Moeslund (Sensors, 2018)

Distance in Latent Space as Novelty Measure. - Mark Philip Philipsen; Thomas Baltzer Moeslund (CoRR, 2020)

Prediction Confidence from Neighbors. - Mark Philip Philipsen; Thomas Baltzer Moeslund (CoRR, 2020)

Cutting Pose Prediction from Point Clouds. - Mark P. Philipsen; Thomas B. Moeslund (Sensors, 2020)

Machine Vision for Aesthetic Quality Control of Reflective Surfaces. - Anne Juhler Hansen; Mark P. Philipsen; Hendrik Knoche; Thomas B. Moeslund (AICV, 2021)

Generalizing Floor Plans Using Graph Neural Networks. - Christoffer P. Simonsen; Frederik M. Thiesson; Mark P. Philipsen; Thomas B. Moeslund (ICIP, 2021)

Seasons in Drift: A Long Term Thermal Imaging Dataset for Studying Concept Drift. - Ivan A. Nikolov; Mark Philip Philipsen; Jinsong Liu; Jacob V. Dueholm; Anders Skaarup Johansen; Kamal Nasrollahi; Thomas B. Moeslund (NeurIPS Datasets and Benchmarks, 2021)

Supervised versus Self-supervised Assistant for Surveillance of Harbor Fronts. - Jinsong Liu; Mark P. Philipsen; Thomas B. Moeslund (VISIGRAPP (5: VISAPP), 2021)

3D Sensors for Sewer Inspection: A Quantitative Review and Analysis. - Chris H. Bahnsen; Anders Skaarup Johansen; Mark P. Philipsen; Jesper W. Henriksen; Kamal Nasrollahi; Thomas B. Moeslund (Sensors, 2021)

Detecting Anomalies Reliably in Long-term Surveillance Systems. - Jinsong Liu; Ivan A. Nikolov; Mark P. Philipsen; Thomas B. Moeslund (VISIGRAPP (4: VISAPP), 2022)

Anomaly Detection for Agricultural Vehicles Using Autoencoders. - Esma Mujkic; Mark P. Philipsen; Thomas B. Moeslund; Martin P. Christiansen; Ole Ravn (Sensors, 2022)

ThermalSynth: A Novel Approach for Generating Synthetic Thermal Human Scenarios. - 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 (WACV (Workshops), 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)