Search Results for author:
Found 8 papers, 1 papers with code
Unpaired MRI Super Resolution with Contrastive Learning
To this end, we propose an unpaired MRI SR approach that employs contrastive learning to enhance SR performance with limited HR training data.
Implicit Neural Representation for MRI Parallel Imaging Reconstruction
Our approach represents reconstructed fully-sampled images as functions of voxel coordinates and prior feature vectors from undersampled images, addressing the generalization challenges of INR.
UNAEN: Unsupervised Abnormality Extraction Network for MRI Motion Artifact Reduction
Our results substantiate the potential of UNAEN as a promising solution applicable in real-world clinical environments, with the capability to enhance diagnostic accuracy and facilitate image-guided therapies.
A real-time and high-precision method for small traffic-signs recognition
However, in real applications, small traffic-signs recognition is still challenging.
Ranked #1 on
Traffic Sign Recognition
on Tsinghua-Tencent 100K
Learn to Model Motion from Blurry Footages
It is difficult to recover the motion field from a real-world footage given a mixture of camera shake and other photometric effects.
Nonrigid Optical Flow Ground Truth for Real-World Scenes with Time-Varying Shading Effects
In this paper we present a dense ground truth dataset of nonrigidly deforming real-world scenes.
Preprint ARPPS Augmented Reality Pipeline Prospect System
This is the preprint version of our paper on ICONIP.
Preprint Extending Touch-less Interaction on Vision Based Wearable Device
This is the preprint version of our paper on IEEE Virtual Reality Conference 2015.
