research
∙
04/20/2023
Revisiting Implicit Neural Representations in Low-Level Vision
Implicit Neural Representation (INR) has been emerging in computer visio...
share
research
∙
04/03/2023
Disentangled Pre-training for Image Matting
Image matting requires high-quality pixel-level human annotations to sup...
research
∙
11/13/2022
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Incremental or continual learning has been extensively studied for image...
research
∙
08/22/2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound
Self-supervised contrastive representation learning offers the advantage...
research
∙
11/25/2021
Quantised Transforming Auto-Encoders: Achieving Equivariance to Arbitrary Transformations in Deep Networks
In this work we investigate how to achieve equivariance to input transfo...
research
∙
10/11/2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning
Studies on self-supervised visual representation learning (SSL) improve ...
research
∙
09/12/2021
Facial Anatomical Landmark Detection using Regularized Transfer Learning with Application to Fetal Alcohol Syndrome Recognition
Fetal alcohol syndrome (FAS) caused by prenatal alcohol exposure can res...
research
∙
06/08/2021
Affinity Attention Graph Neural Network for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation is receiving great attention due...
research
∙
09/28/2020
Cross-Task Representation Learning for Anatomical Landmark Detection
Recently, there is an increasing demand for automatically detecting anat...
research
∙
08/31/2020
Self-supervised Video Representation Learning by Uncovering Spatio-temporal Statistics
This paper proposes a novel pretext task to address the self-supervised ...
research
∙
08/19/2020
Self-Supervised Ultrasound to MRI Fetal Brain Image Synthesis
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
research
∙
08/14/2020
Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound
In medical imaging, manual annotations can be expensive to acquire and s...
research
∙
08/13/2020
Self-supervised Video Representation Learning by Pace Prediction
This paper addresses the problem of self-supervised video representation...
research
∙
03/30/2020
Laplacian Denoising Autoencoder
While deep neural networks have been shown to perform remarkably well in...
research
∙
03/11/2020
Unified Image and Video Saliency Modeling
Visual saliency modeling for images and videos is treated as two indepen...
research
∙
02/28/2020
Self-supervised Representation Learning for Ultrasound Video
Recent advances in deep learning have achieved promising performance for...
research
∙
09/08/2019
Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
research
∙
04/07/2019
Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
We address the problem of video representation learning without human-an...
research
∙
04/06/2019
When AWGN-based Denoiser Meets Real Noises
Discriminative learning based image denoisers have achieved promising pe...
research
∙
09/06/2018
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning
Image denoising and high-level vision tasks are usually handled independ...
research
∙
10/23/2016
