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Jan-Jakob Sonke

Constrained Empirical Risk Minimization: Theory and Practice

Feb 09, 2023
Eric Marcus, Ray Sheombarsing, Jan-Jakob Sonke, Jonas Teuwen

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* 50 pages, 12 figures, 2 tables

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On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction

Jan 23, 2023
George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

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* 25 pages, 13 figures, 5 tables

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Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network

Jan 09, 2023
Jie Liu, Yanqi Bao, Wenzhe Ying, Haochen Wang, Yang Gao, Jan-Jakob Sonke, Efstratios Gavves

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* Accepted in BMVC2022 as oral presentation

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Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation

Apr 22, 2022
Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves

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* Accepted in CVPR2022. Code will be available soon

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Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

Nov 18, 2021
George Yiasemis, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

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* 16 pages, 8 figures, 2 tables

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Subpixel object segmentation using wavelets and multi resolution analysis

Oct 28, 2021
Ray Sheombarsing, Nikita Moriakov, Jan-Jakob Sonke, Jonas Teuwen

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* 19 pages, 10 figures, 1 table

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Deep MRI Reconstruction with Radial Subsampling

Aug 20, 2021
George Yiasemis, Chaoping Zhang, Clara I. Sánchez, Jan-Jakob Sonke, Jonas Teuwen

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* 9 pages, 7 figures, 1 table

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