research
∙
08/29/2023
iBARLE: imBalance-Aware Room Layout Estimation
Room layout estimation predicts layouts from a single panorama. It requi...
share
research
∙
04/26/2023
Graph-CoVis: GNN-based Multi-view Panorama Global Pose Estimation
In this paper, we address the problem of wide-baseline camera pose estim...
research
∙
08/04/2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange
Federated learning (FL) has been recognized as one of the most promising...
research
∙
04/01/2022
LASER: LAtent SpacE Rendering for 2D Visual Localization
We present LASER, an image-based Monte Carlo Localization (MCL) framewor...
research
∙
04/11/2021
Deformable Capsules for Object Detection
Capsule networks promise significant benefits over convolutional network...
research
∙
04/29/2020
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset
Purpose: To organize a knee MRI segmentation challenge for characterizin...
research
∙
08/26/2019
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans
Creating large scale high-quality annotations is a known challenge in me...
research
∙
08/18/2019
Weakly Supervised Segmentation by A Deep Geodesic Prior
The performance of the state-of-the-art image segmentation methods heavi...
research
∙
06/11/2019
PAN: Projective Adversarial Network for Medical Image Segmentation
Adversarial learning has been proven to be effective for capturing long-...
research
∙
12/14/2018
On Attention Modules for Audio-Visual Synchronization
With the development of media and networking technologies, multimedia ap...
research
∙
05/06/2018
S4ND: Single-Shot Single-Scale Lung Nodule Detection
The state of the art lung nodule detection studies rely on computational...
research
∙
02/17/2018
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning
There are at least two categories of errors in radiology screening that ...
research
∙
02/17/2018
Semi-supervised multi-task learning for lung cancer diagnosis
Early detection of lung nodules is of great importance in lung cancer sc...
research
∙
08/10/2016
