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Lars Lowe Sjösund
Lars Lowe Sjösund
AI Research Engineer, Google DeepMind
在 google.com 的电子邮件经过验证 - 首页
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Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
23412023
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
7862024
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
7812024
Gemma 2: Improving open language models at a practical size
G Team, M Riviere, S Pathak, PG Sessa, C Hardin, S Bhupatiraju, ...
arXiv preprint arXiv:2408.00118, 2024
2302024
Sinet: Extreme lightweight portrait segmentation networks with spatial squeeze module and information blocking decoder
H Park, L Sjosund, YJ Yoo, N Monet, J Bang, N Kwak
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
392020
Extremec3net: Extreme lightweight portrait segmentation networks using advanced c3-modules
H Park, LL Sjösund, YJ Yoo, J Bang, N Kwak
arXiv preprint arXiv:1908.03093, 2019
332019
Extremec3net: Extreme lightweight portrait segmentation networks using advanced c3-modules. arXiv 2019
H Park, LL Sjösund, Y Yoo, J Bang, N Kwak
arXiv preprint arXiv:1908.03093, 1908
71908
Automatic Localization of Bounding Boxes forSubcortical Structures in MR Images UsingRegression Forests
LL Sjösund
2013
Computer Simulation of Actin Polymerization in Cellular Protrusion
E Hallström, LL Sjösund, D Strömsten
2011
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