163 citations · 234 across the 5 of their papers we have counts for
7 papers
Temporal Self-Ensembling Teacher for Semi-Supervised Object Detection
Cong Chen, Shouyang Dong, Ye Tian +3
This paper focuses on Semi-Supervised Object Detection (SSOD). Knowledge Distillation (KD) has been widely used for semi-supervised image classification. However, adapting these me…
DeepCenterline: a Multi-task Fully Convolutional Network for Centerline Extraction
Zhihui Guo, Junjie Bai, Yi Lu +5
A novel centerline extraction framework is reported which combines an end-to-end trainable multi-task fully convolutional network (FCN) with a minimal path extractor. The FCN simul…
Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding
Bin Kong, Xin Wang, Junjie Bai +7
Modeling the sequential information of image sequences has been a vital step of various vision tasks and convolutional long short-term memory (ConvLSTM) has demonstrated its superb…
Residual Attention based Network for Hand Bone Age Assessment
Eric Wu, Bin Kong, Xin Wang +8
Computerized automatic methods have been employed to boost the productivity as well as objectiveness of hand bone age assessment. These approaches make predictions according to the…
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning
Sarfaraz Hussein, Kunlin Cao, Qi Song +1
Risk stratification of lung nodules is a task of primary importance in lung cancer diagnosis. Any improvement in robust and accurate nodule characterization can assist in identifyi…
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process
Sarfaraz Hussein, Robert Gillies, Kunlin Cao +2
Characterization of lung nodules as benign or malignant is one of the most important tasks in lung cancer diagnosis, staging and treatment planning. While the variation in the appe…