3 citations · 14 across the 17 of their papers we have counts for
6 papers · 1 filter
LightVessel: Exploring Lightweight Coronary Artery Vessel Segmentation via Similarity Knowledge Distillation
Hao Dang, Yuekai Zhang, Xingqun Qi +2
In recent years, deep convolution neural networks (DCNNs) have achieved great prospects in coronary artery vessel segmentation. However, it is difficult to deploy complicated model…
Exploring Generalizable Distillation for Efficient Medical Image Segmentation
Xingqun Qi, Zhuojie Wu, Min Ren +3
Efficient medical image segmentation aims to provide accurate pixel-wise predictions for medical images with a lightweight implementation framework. However, lightweight frameworks…
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks
Zhuojie Wu, Xingqun Qi, Zijian Wang +4
Face inpainting aims to complete the corrupted regions of the face images, which requires coordination between the completed areas and the non-corrupted areas. Recently, memory-ori…
Graph Flow: Cross-layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation
Wenxuan Zou, Muyi Sun
With the development of deep convolutional neural networks, medical image segmentation has achieved a series of breakthroughs in recent years. However, the high-performance convolu…
MOST-Net: A Memory Oriented Style Transfer Network for Face Sketch Synthesis
Fan Ji, Muyi Sun, Xingqun Qi +2
Face sketch synthesis has been widely used in multi-media entertainment and law enforcement. Despite the recent developments in deep neural networks, accurate and realistic face sk…
Biphasic Face Photo-Sketch Synthesis via Semantic-Driven Generative Adversarial Network with Graph Representation Learning
Xingqun Qi, Muyi Sun, Zijian Wang +5
Biphasic face photo-sketch synthesis has significant practical value in wide-ranging fields such as digital entertainment and law enforcement. Previous approaches directly generate…