Mikael Nilsson
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- 2021
-
Mark
A deeply supervised convolutional neural network ensemble for multilabel segmentation of pelvic OARs
(2021) European Society Radiation Oncology 2021 In Radiotherapy and Oncology 161(Suppl 1). p.1417-1418
- Contribution to journal › Published meeting abstract
- 2020
-
Mark
Video analysis of pedestrian movement (VAPM) under different lighting conditions—method exploration
- Contribution to journal › Article
-
Mark
Multi target tracking from drones by learning from generalized graph differences
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2019
-
Mark
A Framework for Automated Traffic Safety Analysis from Video Using Modern Computer Vision
(2019)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
-
Mark
Convolutional neural network-based cow interaction watchdog
- Contribution to journal › Article
-
Mark
Improving a real-time object detector with compact temporal information
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Automatic estimation of a scale resolution in forensic images
- Contribution to journal › Article
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Mark
A search space strategy for pedestrian detection and localization in world coordinates
(2018) 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018 5. p.17-24
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Now you see me : Convolutional neural network based tracker for dairy cows
- Contribution to journal › Article
- 2017
-
Mark
Sparse coding with unity range codes and label consistent discriminative dictionary learning
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
