activity
20182023
most citedRA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans

473 citations · 677 across the 9 of their papers we have counts for

collaborators

9 papers

eess.SP2023

Track-before-detect Algorithm based on Cost-reference Particle Filter Bank for Weak Target Detection

Jin Lu, Guojie Peng, Weichuan Zhang +1

Detecting weak target is an important and challenging problem in many applications such as radar, sonar etc. However, conventional detection methods are often ineffective in this c…

eess.IV2021★ 62 cited

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

Qiangguo Jin, Hui Cui, Changming Sun +3

The capability of generalization to unseen domains is crucial for deep learning models when considering real-world scenarios. However, current available medical image datasets, suc…

cs.CV2020★ 11 cited

Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy

Miaohua Zhang, Yongsheng Gao, Changming Sun +1

Traditional tensor decomposition methods, e.g., two dimensional principal component analysis and two dimensional singular value decomposition, that minimize mean square errors, are…

cs.CV2020

A Robust Matching Pursuit Algorithm Using Information Theoretic Learning

Miaohua Zhang, Yongsheng Gao, Changming Sun +1

Current orthogonal matching pursuit (OMP) algorithms calculate the correlation between two vectors using the inner product operation and minimize the mean square error, which are b…

cs.CV2020★ 34 cited

DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data

Wei Yin, Xinlong Wang, Chunhua Shen +5

We present a method for depth estimation with monocular images, which can predict high-quality depth on diverse scenes up to an affine transformation, thus preserving accurate shap…

cs.CV2019★ 46 cited

Deep Learning based HEp-2 Image Classification: A Comprehensive Review

Saimunur Rahman, Lei Wang, Changming Sun +1

Classification of HEp-2 cell patterns plays a significant role in the indirect immunofluorescence test for identifying autoimmune diseases in the human body. Many automatic HEp-2 c…