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David Nilsson
David Nilsson
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Title
Cited by
Cited by
Year
Semantic video segmentation by gated recurrent flow propagation
D Nilsson, C Sminchisescu
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2352018
Embodied visual active learning for semantic segmentation
D Nilsson, A Pirinen, E Gärtner, C Sminchisescu
Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2373-2383, 2021
242021
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes
M Büsching, J Bengtson, D Nilsson, M Björkman
arXiv preprint arXiv:2309.05418, 2023
12023
Embodied Learning for Lifelong Visual Perception
D Nilsson, A Pirinen, E Gärtner, C Sminchisescu
arXiv preprint arXiv:2112.14084, 2021
12021
Adjustable Visual Appearance for Generalizable Novel View Synthesis
J Bengtson, D Nilsson, CT Lin, M Büsching, F Kahl
arXiv preprint arXiv:2306.01344, 2023
2023
Data-Efficient Learning of Semantic Segmentation
D Nilsson
Lund University, Faculty of Science, Centre for Mathematical Sciences …, 2022
2022
Image Segmentation with Joint Regularization and Histogram Separation
D Nilsson
Master’s Theses in Mathematical Sciences, 2015
2015
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