David Nilsson

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Cristian SminchisescuScientist at Google DeepMind; Professor, Lund UniversityVerified email at math.lth.se
Aleksis PirinenRISE Research Institutes of SwedenVerified email at ri.se
Erik GärtnerResearch Scientist @ RADiCAL | Ph.D. in Computer Vision and Machine LearningVerified email at radicalmotion.com
Josef BengtsonPhD student, Chalmers University of TechnologyVerified email at chalmers.se
Marcel BüschingPhD Student at KTH Royal Institute of TechnologyVerified email at kth.se
Fredrik KahlProfessor, Chalmers University of TechnologyVerified email at chalmers.se

David Nilsson

Verified email at chalmers.se - Homepage


Title Sort by citations Sort by year Sort by 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	263	2018
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	33	2021
Flowibr: Leveraging pre-training for efficient neural image-based rendering of dynamic scenes M Büsching, J Bengtson, D Nilsson, M Björkman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	6	2024
Embodied learning for lifelong visual perception D Nilsson, A Pirinen, E Gärtner, C Sminchisescu arXiv preprint arXiv:2112.14084, 2021	3	2021
Data-Efficient Learning of Semantic Segmentation D Nilsson	1	2022
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
Image Segmentation with Joint Regularization and Histogram Separation D Nilsson Master’s Theses in Mathematical Sciences, 2015		2015

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