Low light enhancement has gained increasing importance with the rapid
de...
This work addresses the challenging domain adaptation setting in which
k...
In this paper, we focus on an under-explored issue of biased activation ...
Virtual try-on of eyeglasses involves placing eyeglasses of different sh...
In the field of Image-to-Image (I2I) translation, ensuring consistency
b...
Obtaining sufficient labelled data for model training is impractical for...
Particle tracking in biological imaging is concerned with reconstructing...
The expensive annotation cost is notoriously known as a main constraint ...
There has been an increasing interest in deploying non-line-of-sight (NL...
Unsupervised domain adaptive person re-identification has received
signi...
Real-time captioning is a critical accessibility tool for many d/Deaf an...
Image-based virtual try-on is challenging in fitting a target in-shop cl...
In this paper, we study the task of hallucinating an authentic
high-reso...
In this paper, we propose to utilize Automated Machine Learning to
autom...
Convolutional neural networks may perform poorly when the test and train...
Resolving a linear combination of point sources from their band-limited
...
In this paper, we revisit the Image-to-Image (I2I) translation problem w...
We present a neural modeling framework for Non-Line-of-Sight (NLOS) imag...
In this paper, the Point Adversarial Self Mining (PASM) approach, a simp...
In this paper, we target on advancing the performance in facial expressi...
This work studies training generative adversarial networks under the
fed...
We aim at the problem named One-Shot Unsupervised Domain Adaptation. Unl...
Diabetic retinopathy (DR) is a primary cause of blindness in working-age...
Anomaly detection of time series plays an important role in reliability
...
Anomaly detection of time series plays an important role in reliability
...
Line spectral estimation is a classical signal processing problem aimed ...
Obtaining a high-quality frontal face image from a low-resolution (LR)
n...
Comparing to image inpainting, image outpainting receives less attention...
Emotion recognition plays an important role in human-computer interactio...
Existing methods usually utilize pre-defined criterions, such as p-norm,...
For unsupervised domain adaptation problems, the strategy of aligning th...
Both the tasks of multi-person human pose estimation and pose tracking i...
Previous works utilized "smaller-norm-less-important" criterion to prune...
Graph convolutional network (GCN) provides a powerful means for graph-ba...
Online antisocial behavior, such as cyberbullying, harassment, and troll...
Aim: Early detection and correct diagnosis of lung cancer are the most
i...
Bronchoscopy inspection as a follow-up procedure from the radiological
i...
It is challenging to recognize facial action unit (AU) from spontaneous
...
Automatic analysis of biomedical time series such as electroencephalogra...