activity
20232025
most citedCMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction

15 citations · 21 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

HQC-NBV: A Hybrid Quantum-Classical View Planning Approach

Xiaotong Yu, Chang Wen Chen

Efficient view planning is a fundamental challenge in computer vision and robotic perception, critical for tasks ranging from search and rescue operations to autonomous navigation.…

cs.CV2024

Semantic-aware Next-Best-View for Multi-DoFs Mobile System in Search-and-Acquisition based Visual Perception

Xiaotong Yu, Chang-Wen Chen

Efficient visual perception using mobile systems is crucial, particularly in unknown environments such as search and rescue operations, where swift and comprehensive perception of…

cs.CV2024

CSDNet: Detect Salient Object in Depth-Thermal via A Lightweight Cross Shallow and Deep Perception Network

Xiaotong Yu, Ruihan Xie, Zhihe Zhao +1

While we enjoy the richness and informativeness of multimodal data, it also introduces interference and redundancy of information. To achieve optimal domain interpretation with lim…

cs.CV2023★ 15 cited

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction

Chengyan Wang, Jun Lyu, Shuo Wang +25

Cardiac magnetic resonance imaging (CMR) has emerged as a valuable diagnostic tool for cardiac diseases. However, a limitation of CMR is its slow imaging speed, which causes patien…

eess.IV2023★ 6 cited

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

Zi Wang, Xiaotong Yu, Chengyan Wang +25

Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses.…

cs.LG2023

Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding

Chunyan Xiong, Mengli Lu, Xiaotong Yu +4

Soft-thresholding has been widely used in neural networks. Its basic network structure is a two-layer convolution neural network with soft-thresholding. Due to the network's nature…