384 citations · 389 across the 6 of their papers we have counts for
6 papers
ARSAR-Net: Adaptively Regularized SAR Imaging Network with Efficient Unfolding
Shiping Fu, Yufan Chen, Zhe Zhang +1
Developed from sparse reconstruction approaches, deep unfolding networks (DUNs) have constituted an emerging method for synthetic aperture radar (SAR) imaging, offering fast conver…
Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments
Ruiping Liu, Jiaming Zhang, Kunyu Peng +5
Grounded Situation Recognition (GSR) is capable of recognizing and interpreting visual scenes in a contextually intuitive way, yielding salient activities (verbs) and the involved…
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Yi Lin, Dong Zhang, Xiao Fang +3
Medical image segmentation is a fundamental task in the community of medical image analysis. In this paper, a novel network architecture, referred to as Convolution, Transformer, a…
Few Shot Medical Image Segmentation with Cross Attention Transformer
Yi Lin, Yufan Chen, Kwang-Ting Cheng +1
Medical image segmentation has made significant progress in recent years. Deep learning-based methods are recognized as data-hungry techniques, requiring large amounts of data with…
Neural Inertial Localization
Sachini Herath, David Caruso, Chen Liu +2
This paper proposes the inertial localization problem, the task of estimating the absolute location from a sequence of inertial sensor measurements. This is an exciting and unexplo…
The Replica Dataset: A Digital Replica of Indoor Spaces
Julian Straub, Thomas Whelan, Lingni Ma +27
We introduce Replica, a dataset of 18 highly photo-realistic 3D indoor scene reconstructions at room and building scale. Each scene consists of a dense mesh, high-resolution high-d…