| Emilie Maria Nybo Arendttorp | Understanding Color Perception Boundaries |
| Magnus Kaufmann Gjerde | Enhancing Robustness and Adaptability in Visual-Inertial SLAM for Diverse and Dynamic Environments |
| Christos Kantas | Delving Deeper into the Quality Inspection of Textile Yarns and Sheet Metal Parts |
| Filip Slezák | Environmental awareness for agricultural vehicles using Scene Flow |
| Galadrielle Humblot-Renaux | “Are you sure?” Towards trustworthy computer vision |
| Natasha Lee Sørensen | Artificial Intelligence in General Practice |
| Mia Siemon | Unsupervised Context-Aware Learning, Reasoning and Visualization of Incidents (RAVI) |
| Simon Buus Jensen | Deep Learning and Computer Vision for Business Optimization of Danish SMEs |
| Jacob Velling Dueholm | Milestone Research Programme @ AAU: Anomaly Detection |
| Anne Juhler Hansen | Aesthetic Quality Control |
Past projects
| Neelu Madan | Milestone Research Programme @ AAU: Tracking, 2023. |
| Anders Skaarup Johansen | Milestone Research Programme @ AAU: Object Detection, 2023. |
| Andreas Aakerberg | Reveal More Details: Spatiotemporal RGB-D-T Super-Resolution of Facial Images, 2023. |
| Malte Pedersen | Marine Analytics Using Computer Vision, 2023. |
| Marike Koch van den Broek | Proactive Human-Robot Interaction (4×4 PhD) |
| Jinsong Liu | Thermal Adaptive Architecture, 2022. |
| Bolette Dybkjær Hansen | Machine learning for value creation in the utility sector (Industrial PhD with Envidan), 2022. |
| Joakim Bruslund Haurum | Autonomous Sewer Inspection Robot, 2023. |
| Kasper Skou Ladefoged | Reflective Reconstruction and Estimation |
| Stefan Hein Bengtson | Computer Vision for Robotic Welfare Technology, 2023. |
| Noor Ul Huda | Computer Vision in Sports, 2023. |
| Christoffer Bøgelund Rasmussen | Automatic Harvest Quality Monitoring (Industrial PhD with CLAAS E-Systems), 2022. |
| Chaudhary Muhammad Aqdus Ilyas | Computer Vision Techniques for Social Robot Interaction for the Citizens with Traumatic Brain Injury, 2021. |
| Ivan Adriyanov Nikolov | Wind Turbine Blade Leading Edge Roughness Inspection, 2021. |
| Jeppe Veirum Larsen | Musical Motivated Movement, 2021. |
| Aske Rasch Lejbølle | Queue estimation by vision-based re-identification, 2020. |
| Mark Philip Philipsen | Applications of Vision and Robotics in Meat Production, 2020. |
| Morten Bornø Jensen | Automatic Analysis of Vulnerable Road Users using Multi-Modal and View Traffic Data, 2019. Link |
| Chris Bahnsen | Robust and Multi-Modal Analysis of Traffic and People, 2019. Link |
| Anders Jørgensen | Automatic veterinary inspection of chicken (Industrial PhD with IHFood), 2018. Link |
| Ramin Irani | Computer Vision Based Methods for Detection and Measurement of Psychophysiological Indicators, 2017. Link |
| Mohammad Ahsanul Haque | Signal Processing Methods for Automatic In-Home Medical Diagnosis and Monitoring, 2016. Link |
| Rasmus Skovgaard Andersen | Human-Assisted Computer Vision Methods for Industrial Mobile Robots, 2016. Link |
| Huamin Ren | Computer Vision Methods for Abnormality Detection in Video Data, 2016 |
| Andreas Møgelmose | Computer Vision Methods for Detection and Re-identification of People, 2015. Link |
| Martin Sandau Christiansen | Markerless Motion Capture, 2015 |
| Rikke Gade | Taking the temperature of sports arenas – Automatic analysis of people, 2015. Link |
| Michael B. Holte | Vision-Based 2D and 3D Human Activity Recognition, 2012. Link (Best Nordic PhD Thesis Award in Field of Image Analysis and Pattern Recognition 2011-2012) |
| Preben Fihl | Automatic Video-based Analysis of Human Motion, 2011. Link |
| Kamal Nasrollahi | A Computer Vision Story on Video Sequences: From Face Detection to Face Super- Resolution using Face Quality Assessment, 2011. Link |
Master theses
Link
