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2025
Mark SONNET : Enhancing Time Delay Estimation by Leveraging Simulated Audio
Tegler, Erik ^LU ; Oskarsson, Magnus ^LU and Åström, Kalle ^LU (2025) 27th International Conference on Pattern Recognition, ICPR 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15320 LNCS. p.289-303
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Towards Zero Bottlenecks for Scaling Autonomous Driving
Tonderski, Adam ^LU (2025) In Doctoral Theses in Mathematical Sciences 2025(1).
- Thesis › Doctoral thesis (compilation)
Mark NeuroNCAP : Photorealistic Closed-Loop Safety Testing for Autonomous Driving
Ljungbergh, William ; Tonderski, Adam ^LU ; Johnander, Joakim ; Caesar, Holger ; Åström, Kalle ^LU ; Felsberg, Michael and Petersson, Christoffer (2025) 18th European Conference on Computer Vision, ECCV 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15088 LNCS. p.161-177
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Predicting intra-field yield variations for winter wheat using remote sensing and Graph Attention Networks
Åström, Oskar ^LU ; Månsson, Simon ; Lazar, Isac ^LU ; Nilsson, Magnus ^LU ; Ekelöf, Joakim ; Oxenstierna, Andreas and Sopasakis, Alexandros ^LU (2025) In Computers and Electronics in Agriculture 237.
- Contribution to journal › Article
2024
Mark The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization
Yaman, Ilayda ^LU ; Tian, Guoda ^LU ; Larsson, Martin ^LU ; Persson, Patrik ^LU ; Sandra, Michiel ^LU ; Dürr, Alexander ^LU ; Tegler, Erik ^LU ; Challa, Nikhil ; Garde, Henrik ^LU and Tufvesson, Fredrik ^LU , et al. (2024) 2024 IEEE International Conference on Robotics and Automation, ICRA 2024 p.11920-11926
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Fast Relative Pose Estimation using Relative Depth
Astermark, Jonathan ^LU ; Ding, Yaqing ^LU ; Larsson, Viktor ^LU and Heyden, Anders ^LU (2024) 11th International Conference on 3D Vision, 3DV 2024 In Proceedings - 2024 International Conference on 3D Vision, 3DV 2024 p.873-881
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Towards Federated Learning with on-device Training and Communication in 8-bit Floating Point
Wang, Bokun ; Berg, Axel ^LU ; Acar, Durmus Alp Emre and Zhou, Chuteng (2024) FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
- Contribution to conference › Paper, not in proceeding
Mark Deep Learning for Breast Cancer Detection in Ultrasound Imaging : Classification, Managing Data Scarcity and Detecting Out-of-Distribution Samples
Karlsson, Jennie ^LU (2024) In Licentiate theses in mathematical sciences 2024(2).
- Thesis › Licentiate thesis
Mark Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms
Arvidsson, Ida ^LU ; Strandberg, Olof ^LU ; Palmqvist, Sebastian ^LU ; Stomrud, Erik ^LU ; Cullen, Nicholas ^LU ; Janelidze, Shorena ^LU ; Tideman, Pontus ^LU ; Heyden, Anders ^LU ; Åström, Karl ^LU and Hansson, Oskar ^LU , et al. (2024) In Alzheimer's Research and Therapy 16(1).
- Contribution to journal › Article
Mark LuViRA Dataset Validation and Discussion: Comparing Vision, Radio, and Audio Sensors for Indoor Localization
Yaman, Ilayda ^LU ; Tian, Guoda ^LU ; Tegler, Erik ^LU ; Gulin, Jens ^LU ; Challa, Nikhil ; Tufvesson, Fredrik ^LU ; Edfors, Ove ^LU ; Åström, Kalle ^LU ; Malkowsky, Steffen ^LU and Liu, Liang ^LU (2024) In IEEE Journal of Indoor and Seamless Positioning and Navigation p.240-250
- Contribution to journal › Article

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