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Jiarui Sun

3 accepted papers

2021

Elastica: A Compliant Mechanics Environment for Soft Robotic Control

Noel M. Naughton, Jiarui Sun, Arman Tekinalp, Tejaswin Parthasarathy, Girish Chowdhary, Mattia Gazzola
RA-L 2021

Soft robots are notoriously hard to control. This is partly due to the scarcity of models and simulators able to capture their complex continuum mechanics, resulting in a lack of control methodologies that take full advantage of body compliance. Currently available methods are either too computation

Cited by 122Source ↗code ↗Scholar ↗
2020

Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution

Yu Zhao, Fan Yang, Yuqi Fang, Hailing Liu, Niyun Zhou, Jun Zhang +5
CVPR 2020poster

Multiple instance learning (MIL) is a typical weakly-supervised learning method where the label is associated with a bag of instances instead of a single instance. Despite extensive research over past years, effectively deploying MIL remains an open and challenging problem, especially when the commo…

Cited by 215PDF ↗Scholar ↗
2018

Depth Super-Resolution Using Joint Adaptive Weighted Least Squares And Patching Gradient

Yuyuan Li, Jiarui Sun, Bingshu Wang, Yong Zhao
ICASSP 2018accepted

This paper presents a flexible framework for the challenging task of color-guided depth upsampling. Some state-of-the-art approaches apply an aligned RGB image for depth recovery. Unfortunately, these kinds of methods may result in texture copying artifacts and edge blurring artifacts. To address th…

Cited by 0Source ↗Scholar ↗