no code implementations • 8 Sep 2023 • Siyuan Dong, Henk M. De Feyter, Monique A. Thomas, Robin A. de Graaf, James S. Duncan
The proposed processing method, PReserved Edge ConvolutIonal neural network for Sensitivity Enhanced DMI (PRECISE-DMI), was applied to simulation studies and in vivo experiments to evaluate the anticipated improvements in SNR and investigate the potential for inaccuracies.
1 code implementation • 17 Oct 2022 • Carolina Higuera, Siyuan Dong, Byron Boots, Mustafa Mukadam
In experiments, we find that Neural Contact Fields are able to localize multiple contact patches without making any assumptions about the geometry of the contact, and capture contact/no-contact transitions for known categories of objects with unseen shapes in unseen environment configurations.
1 code implementation • 20 Jul 2022 • Siyuan Dong, Gilbert Hangel, Eric Z. Chen, Shanhui Sun, Wolfgang Bogner, Georg Widhalm, Chenyu You, John A. Onofrey, Robin de Graaf, James S. Duncan
Specifically, we propose a flow-based enhancer network to improve the visual quality of super-resolution MRSI.
no code implementations • 17 Jun 2022 • Siyuan Dong, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Karl Rössler, Siegfried Trattnig, Chenyu You, Robin de Graaf, John Onofrey, James Duncan
Magnetic Resonance Spectroscopic Imaging (MRSI) is a valuable tool for studying metabolic activities in the human body, but the current applications are limited to low spatial resolutions.
no code implementations • 6 Jun 2022 • Siyuan Dong, Eric Z. Chen, Lin Zhao, Xiao Chen, Yikang Liu, Terrence Chen, Shanhui Sun
During inference, the learned blurring transform can be inverted to a sharpening transform leveraging the network's invertibility.
no code implementations • 3 Jun 2022 • Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John Onofrey, Lawrence Staib, James S. Duncan
Many medical datasets have recently been created for medical image segmentation tasks, and it is natural to question whether we can use them to sequentially train a single model that (1) performs better on all these datasets, and (2) generalizes well and transfers better to the unknown target site domain.
no code implementations • 31 Mar 2022 • Leszek Pecyna, Siyuan Dong, Shan Luo
It will be problematic to use a single sensory input to track the behaviour of such objects: vision can be subjected to occlusions, whereas tactile inputs cannot capture the global information that is useful for the task.
no code implementations • 26 Jan 2022 • Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence Staib, James S. Duncan
In this work, we present CASTformer, a novel type of adversarial transformers, for 2D medical image segmentation.
no code implementations • 8 Feb 2020 • Francois R. Hogan, Jose Ballester, Siyuan Dong, Alberto Rodriguez
This paper develops closed-loop tactile controllers for dexterous manipulation with dual-arm robotic palms.
Robotics Systems and Control Systems and Control
1 code implementation • 31 Oct 2018 • Siyuan Dong, Daolin Ma, Elliott Donlon, Alberto Rodriguez
The output is a dense slip field which we use to detect when small areas of the contact patch start to slip (incipient slip).
Robotics
2 code implementations • 27 Feb 2018 • Jianhua Li, Siyuan Dong, Edward Adelson
Slip detection plays a vital role in robotic manipulation and it has long been a challenging problem in the robotic community.
Robotics
1 code implementation • CVPR 2017 • Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong, Edward Adelson
A thin flexible fabric, when draped, tends to look different from a heavy stiff fabric.