17 Result(s)
-
Chapter and Conference Paper
You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray
Chest X-ray (CXR) anatomical abnormality detection aims at localizing and characterising cardiopulmonary radiological findings in the radiographs, which can expedite clinical workflow and reduce observational ...
-
Chapter and Conference Paper
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images
The recent success of deep learning relies heavily on the large amount of labeled data. However, acquiring manually annotated symptomatic medical images is notoriously time-consuming and laborious, especially ...
-
Chapter and Conference Paper
Trailer Tag Hitch: An Automatic Reverse Hanging System Using Fiducial Markers
Unmanned tractor-trailer vehicles are widely used in factory transportation scenarios. However, the trailer hitching process is still manually operated. The automatic trailer hitching is the precondition of fu...
-
Chapter and Conference Paper
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data
Segmenting prostate from MRI is crucial for diagnosis and treatment planning of prostate cancer. Given the scarcity of labeled data in medical imaging, semi-supervised learning (SSL) presents an attractive opt...
-
Chapter and Conference Paper
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels
Deep learning-based medical image segmentation usually requires abundant high-quality labeled data from experts, yet, it is often infeasible in clinical practice. Without sufficient expert-examined labels, the...
-
Chapter and Conference Paper
A Depth-Guided Attention Strategy for Crowd Counting
Crowd counting, an essential technology with numerous applications, often encounters challenges due to non-uniform crowd distributions and noisy backgrounds in congested scenes. To address these issues, this p...
-
Chapter and Conference Paper
Towards Interactive Facial Image Inpainting by Text or Exemplar Image
Facial image inpainting aims to fill visually realistic and semantically new pixels for masked or missing pixels in a face image. Although current methods have made progress in achieving high visual quality, t...
-
Chapter and Conference Paper
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data
Recently, unsupervised domain adaptation (UDA) has been actively explored for multi-site fundus image segmentation with domain discrepancy. Despite relaxing the requirement of target labels, typical UDA still ...
-
Chapter and Conference Paper
Composition Based Semantic Scene Retrieval for Ancient Murals
Retrieval of similar scenes in ancient murals research is an important but time-consuming job for researchers. However, content-based image retrieval (CBIR) systems cannot fully deal with such issues since the...
-
Chapter and Conference Paper
Photo Vignetting and Camera Orientation Correction for High Precision Acquisition
Currently, there are two types of scanner in digitizing ancient paintings and calligraphy, linear CCD based table scanner and photographing based scanner. The previous work shows the latter is more suitable fo...
-
Chapter and Conference Paper
An Ultrasonic Signal Processing Technique for Extraction of Arrival Time from Lamb Waveforms
Travel time Lamb wave tomography has been shown to be an effective nondestructive evaluation (NDE) technique for plate-like structures. The methods used previously to extract the arrival times of the fastest o...
-
Chapter and Conference Paper
Multi-projector Calibration and Alignment Using Flatness Analysis for Irregular-Shape Surfaces
A multi-projector calibration and alignment method, which has no assumptions on projection surfaces’ shape, is presented. Based on surface flatness analysis, the method will automatically partition the project...
-
Chapter and Conference Paper
Knowledge Based Lacunas Detection and Segmentation for Ancient Paintings
Lacunas are a common form of the damage that can occur to paintings and more often to murals. Taking Dunhuang murals as research background, a new algorithm to detect and segment the lacuna area from mural ima...
-
Chapter and Conference Paper
Interactive High Resolution Texture Map** for the 3D Models of Cultural Heritages
Virtual reconstruction of cultural heritage is not only the basis but also one of important contents of its digitized research. The techniques of interactive texture reconstruction researched in this article a...
-
Chapter and Conference Paper
An Ultra Large Area Scanner for Ancient Painting and Calligraphy
It is of great significance to digitize ancient paintings and calligraphy, especially for a country with five thousand years of history and rich cultural heritages. Millions of paintings and calligraphy are ha...
-
Chapter and Conference Paper
Color Changing and Fading Simulation for Frescoes Based on Empirical Knowledge from Artists
Visualizing the color changing and fading process of ancient Chinese wall paintings to tourists and researchers is of great value in both education and preservation. But previously, because empirical knowledge...
-
Chapter and Conference Paper
Style Strokes Extraction Based on Color and Shape Information
Taking Dunhuang MoGao Frescoes as research background, a new algorithm to extract style strokes from fresco images is proposed. All the pixels in a fresco image are classified into either the stroke objects or...
