Research

P1 Publications

  • Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (2022)

    Detecting Anomalies Reliably in Long-term Surveillance Systems

    Jinsong Liu, Ivan Nikolov, Mark P. Philipsen, Thomas B. Moeslund

  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

    Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding

    Joachim Nyborg, Charlotte Pelletier, Ira Assent

  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

    Multi-Task Classification og Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder

    Joakim B. Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund

  • CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

    OVRlap: Perceiving Multiple Locations Simultaneously to Improve Interaction in VR

    Jonas Schjerlund, Kasper Hornbæk, Joanna Bergström

  • Proceedings SPIE

    Exploring loss functions for optimising the accuracy of Siamese neural networks in re-identification applications

    Jonathan E. Schmidt, Oscar E. Mäkinen, Simon G. F. Nielsen, Anders S. Johansen, Kamal Nasrollahi, Thomas B. Moeslund

  • Association for Computational Linguistics

    Stop Measuring Calibration When Humans Disagree

    Joris Baan, Wilker Aziz, Barbara Plank, Raquel Fernandez

  • Association for Computational Linguistics

    Fine-tuning vs From Scratch: Do Vision & Language Models Have Similar Capabilities on Out-of-Distribution Visual Question Answering?

    Kristian N. Jensen, Barbara Plank

  • 2022 IEEE International Conference on Image Processing (ICIP)

    FewGAN: Generating from the Joint Distribution of a Few Images

    Lior Ben-Moshe, Sagie Benaim, Lior Wolf

  • Computer Vision – ECCV 2022 (ECCV 2022)

    MOTCOM: The Multi-Object Tracking Dataset Complexity Metric

    Malte Pedersen, Joakim B. Haurum, Patrick Dendorfer, Thomas B. Moeslund

  • Proceedings of the Northern Lights Deep Learning Workshop

    Re-Identification of Giant Sunfish using Keypoint Matching

    Malte Pedersen, Joakim B. Haurum, Thomas B. Moeslund, Marianne Nyegaard

  • Computer Vision – ECCV 2022 (ECCV 2022)

    DiffConv: Analyzing Irregular Point Clouds with an Irregular View

    Manxi Lin, Aasa Feragen

  • Proceedings SPIE

    Autonomous monitoring of finishing pigs using side-view cameras and deep learning

    Mathias S. Lynge, Kasper S. Henriksen, Thomas B. Moeslund

  • Patterns

    The path toward equal performance in medical machine learning

    Eike Petersen, Sune H. Holm, Melanie Ganz-Benjaminsen, Aasa Feragen

  • Association for Computational Linguistics

    Probing for Labeled Dependency Trees

    Max Müller-Eberstein, Rob van der Goot, Barbara Plank

  • Association for Computational Linguistics

    Sort by Structure: Language Model Ranking as Dependency Probing

    Max Müller-Eberstein, Rob van der Goot, Barbara Plank

  • Association for Computational Linguistics

    Spectral Probing

    Max Müller-Eberstein, Rob van der Goot, Barbara Plank

  • Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning (ICML)

    Assessing Bias in Medical AI

    Melanie Ganz, Sune H. Holm, Aasa Feragen

  • Computer Vision – ECCV 2022 (ECCV 2022)

    Visual Prompt Tuning

    Menglin Jia, Luming Tang, Bor-Chun Chen, Claire Cardie, Serge Belongie, Bharath Hariharan, Ser-Nam Lim

  • Association for Computational Linguistics

    SkillSpan: Hard and Soft Skill Extraction from English Job Postings

    Mike Zhang, Kristian Jensen, Sif Sonniks, Barbara Plank

  • Association for Computational Linguistics

    Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning

    Mike Zhang, Kristian N. Jensen, Barbara Plank

  • Advances in Visual Computing (ISVC 2021)

    Real-World Thermal Image Super-Resolution

    Moaaz M. J. Allahham, Andreas Aakerberg, Kamal Nasrollahi, Thomas B. Moeslund

  • Intelligent Systems and Applications (IntelliSys 2021)

    Attention-Enabled Object Detection to Improve One-Stage Tracker

    Neelu Madan, Kamal Nasrollahi, Thomas B. Moeslund

  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

    Nicolae-Cătălin Ristea, Neelu Madan, Radu T. Ionescu, Kamal Nasrollahi, Fahad S. Khan, Thomas B. Moeslund, Mubarak Shah

  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    Text2Mesh: Text-Driven Neural Stylization for Meshes

    Oscar Michel, Roi Bar-On, Richard Liu, Sagie Beniam, Rana Hanocka

  • Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (MICCAI 2022)

    Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification

    Pengfei Diao, Akshay Pai, Christian Igel, Christian H. Krag