In this paper, we propose a deep relational network which exploits multi-scale information of
facial images for kinship verification. Unlike most existing deep learning based facial …

Background Early enteral nutrition is crucial for preventing malnutrition and improving
outcomes in patients with severe stroke, but previous trials have provided conflicting results …

In this paper, we propose a KinMix method to generate positive samples in the feature space
for facial kinship verification. Unlike most existing data augmentation methods, we generate …

Background Malnutrition is one of the crucial factors associated with poor prognosis in
critical ill patients, yet a significant evidence gap surrounds the management of initial enteral …

In this paper, we propose a lightweight backbone network called Transformer-Convolutional
Networks (TC-Net) for ef-ficient road segmentation. Conventional road segmentation …

Aiming at the problems such as shallow drilling depth of gas drainage holes and low drilling
efficiency caused by soft and broken seams, small capacity and low degree of automation of …

… Cui-Lan Song , Cui-Lan Song … Chen Qian, Jin-Quan Wang, Cui-Lan Song, Li-Li Wang,
Liang-Nian Ji, Hui Chao, The induction of mitochondria-mediated apoptosis in cancer cells by …

Synergistic photodynamic therapy (PDT) that combines photosensitizers (PSs) to attack
different key sites in cancer cells is very attractive. However, the use of multiple PSs may …

Heart failure is a clinical syndrome caused by ventricular insufficiency, which results in
decreased activity tolerance and repeated hospitalization, seriously affecting quality of life, and it …

In this paper, we propose a semantic three-stream network (STN) for social relation recognition,
which learns discriminative features from facial images directly by exploiting semantic …