24 citations · 39 across the 7 of their papers we have counts for
8 papers
MM-SFENet: Multi-scale Multi-task Localization and Classification of Bladder Cancer in MRI with Spatial Feature Encoder Network
Yu Ren, Guoli Wang, Pingping Wang +5
Background and Objective: Bladder cancer is a common malignant urinary carcinoma, with muscle-invasive and non-muscle-invasive as its two major subtypes. This paper aims to achieve…
BB-GCN: A Bi-modal Bridged Graph Convolutional Network for Multi-label Chest X-Ray Recognition
Guoli Wang, Pingping Wang, Jinyu Cong +2
Multi-label chest X-ray (CXR) recognition involves simultaneously diagnosing and identifying multiple labels for different pathologies. Since pathological labels have rich informat…
Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation
Huan Gao, Jichang Guo, Guoli Wang +1
The performance of nighttime semantic segmentation is restricted by the poor illumination and a lack of pixel-wise annotation, which severely limit its application in autonomous dr…
Learning Quality-aware Representation for Multi-person Pose Regression
Yabo Xiao, Dongdong Yu, Xiaojuan Wang +3
Off-the-shelf single-stage multi-person pose regression methods generally leverage the instance score (i.e., confidence of the instance localization) to indicate the pose quality f…
AdaptivePose: Human Parts as Adaptive Points
Yabo Xiao, Xiaojuan Wang, Dongdong Yu +3
Multi-person pose estimation methods generally follow top-down and bottom-up paradigms, both of which can be considered as two-stage approaches thus leading to the high computation…
Deep Momentum Uncertainty Hashing
Chaoyou Fu, Guoli Wang, Xiang Wu +2
Combinatorial optimization (CO) has been a hot research topic because of its theoretic and practical importance. As a classic CO problem, deep hashing aims to find an optimal code…
VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Recognition
Mengjia Yan, Mengao Zhao, Zining Xu +3
To improve the discriminative and generalization ability of lightweight network for face recognition, we propose an efficient variable group convolutional network called VarGFaceNe…
VarGNet: Variable Group Convolutional Neural Network for Efficient Embedded Computing
Qian Zhang, Jianjun Li, Meng Yao +6
In this paper, we propose a novel network design mechanism for efficient embedded computing. Inspired by the limited computing patterns, we propose to fix the number of channels in…