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Introducing Edge-Wise Graph Signal Processing: Application to Connectome Fingerprinting
Thomas A. W. Bolton;Mikkel Schöttner;Jagruti Patel;Patric Hagmann
2024 IEEE International Symposium on Biomedical Imaging (ISBI)
Year: 2024 | Conference Paper |
Graph signal processing (GSP) enables the principled study of signals that live on an underlying graph. In magnetic resonance imaging, this graph classically describes structural connectivity between brain regions, while the signals of interest are regional time courses of functional activity. Here, we propose to translate the GSP concepts applied to regional brain data to the edge-centric domain....Show More
Task Switching Network for Multi-task Learning
Guolei Sun;Thomas Probst;Danda Pani Paudel;Nikola Popović;Menelaos Kanakis;Jagruti Patel;Dengxin Dai;Luc Van Gool
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2021 | Conference Paper |
Cited by: Papers (21)
We introduce Task Switching Networks (TSNs), a task-conditioned architecture with a single unified encoder/decoder for efficient multi-task learning. Multiple tasks are performed by switching between them, performing one task at a time. TSNs have a constant number of parameters irrespective of the number of tasks. This scalable yet conceptually simple approach circumvents the overhead and intricac...Show More
Rendering Natural Camera Bokeh Effect with Deep Learning
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2020 | Conference Paper |
Cited by: Papers (56)
Bokeh is an important artistic effect used to highlight the main object of interest on the photo by blurring all out-of-focus areas. While DSLR and system camera lenses can render this effect naturally, mobile cameras are unable to produce shallow depth-of-field photos due to a very small aperture diameter of their optics. Unlike the current solutions simulating bokeh by applying Gaussian blur to ...Show More
AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results
Andrey Ignatov;Jagruti Patel;Radu Timofte;Bolun Zheng;Xin Ye;Li Huang;Xiang Tian;Saikat Dutta;Kuldeep Purohit;Praveen Kandula;Maitreya Suin;A. N. Rajagopalan;Zhiwei Xiong;Jie Huang;Guanting Dong;Mingde Yao;Dong Liu;Ming Hong;Wenying Lin;Yanyun Qu;Jae-Seok Choi;Woonsung Park;Munchurl Kim;Rui Liu;Xiangyu Mao;Chengxi Yang;Qiong Yan;Wenxiu Sun;Junkai Fang;Meimei Shang;Fei Gao;Sujoy Ghosh;Prasen Kumar Sharma;Arijit Sur;Wenjin Yang
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
Year: 2019 | Conference Paper |
Cited by: Papers (30)
This paper reviews the first AIM challenge on bokeh effect synthesis with the focus on proposed solutions and results. The participating teams were solving a real-world image-to-image mapping problem, where the goal was to map standard narrow-aperture photos to the same photos captured with a shallow depth-of-field by the Canon 70D DSLR camera. In this task, the participants had to restore bokeh e...Show More
AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results
Andrey Ignatov;Jagruti Patel;Radu Timofte;Bolun Zheng;Xin Ye;Li Huang;Xiang Tian;Saikat Dutta;Kuldeep Purohit;Praveen Kandula;Maitreya Suin;A. N. Rajagopalan;Zhiwei Xiong;Jie Huang;Guanting Dong;Mingde Yao;Dong Liu;Ming Hong;Wenying Lin;Yanyun Qu;Jae-Seok Choi;Woonsung Park;Munchurl Kim;Rui Liu;Xiangyu Mao;Chengxi Yang;Qiong Yan;Wenxiu Sun;Junkai Fang;Meimei Shang;Fei Gao;Sujoy Ghosh;Prasen Kumar Sharma;Arijit Sur;Wenjin Yang
Year: 2019 | Conference Paper |
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