Implicit Neural Representation (INR) has been emerging in computer visio...
Image matting requires high-quality pixel-level human annotations to sup...
Incremental or continual learning has been extensively studied for image...
Self-supervised contrastive representation learning offers the advantage...
In this work we investigate how to achieve equivariance to input
transfo...
Studies on self-supervised visual representation learning (SSL) improve
...
Fetal alcohol syndrome (FAS) caused by prenatal alcohol exposure can res...
Weakly supervised semantic segmentation is receiving great attention due...
Recently, there is an increasing demand for automatically detecting
anat...
This paper proposes a novel pretext task to address the self-supervised ...
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
In medical imaging, manual annotations can be expensive to acquire and
s...
This paper addresses the problem of self-supervised video representation...
While deep neural networks have been shown to perform remarkably well in...
Visual saliency modeling for images and videos is treated as two indepen...
Recent advances in deep learning have achieved promising performance for...
Fetal brain magnetic resonance imaging (MRI) offers exquisite images of ...
We address the problem of video representation learning without
human-an...
Discriminative learning based image denoisers have achieved promising
pe...
Image denoising and high-level vision tasks are usually handled independ...
3D hand pose tracking/estimation will be very important in the next
gene...