David Nilsson

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Cristian SminchisescuProfessor, Lund University; Scientist at Google ResearchVerified 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
Marcel BüschingPhD Student at KTH Royal Institute of TechnologyVerified email at kth.se
Fredrik KahlProfessor, Chalmers University of TechnologyVerified email at chalmers.se
Josef BengtsonPhD student, 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	208	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	20	2021
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		2023
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
Embodied Learning for Lifelong Visual Perception D Nilsson, A Pirinen, E Gärtner, C Sminchisescu arXiv preprint arXiv:2112.14084, 2021		2021
Image Segmentation with Joint Regularization and Histogram Separation D Nilsson Master’s Theses in Mathematical Sciences, 2015		2015

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