Leveraging external knowledge to enhance the reasoning ability is crucia...
Generative commonsense question answering (GenCQA) is a task of automati...
The security of deep neural networks (DNNs) has attracted increasing
att...
To explore the vulnerability of deep neural networks (DNNs), many attack...
Vision Transformer (ViT), as a powerful alternative to Convolutional Neu...
Text-Video Retrieval plays an important role in multi-modal understandin...
The transformer models have shown promising effectiveness in dealing wit...
Decision-based attack poses a severe threat to real-world applications s...
Generative Adversarial Networks (GANs) with high computation costs, e.g....
Adversarial training (AT) has been demonstrated as one of the most promi...
With the recent advancement of deep convolutional neural networks,
signi...
This paper deals with a challenging task of video scene graph generation...
With the recent success of deep neural networks, remarkable progress has...
Recent research has witnessed advances in facial image editing tasks
inc...
Capturing contextual dependencies has proven useful to improve the
repre...
It is well known that adversarial attacks can fool deep neural networks ...
We present a versatile model, FaceAnime, for various video generation ta...
Backdoor attack intends to inject hidden backdoor into the deep neural
n...
To explore the vulnerability of deep neural networks (DNNs), many attack...
General image super-resolution techniques have difficulties in recoverin...
Recent GAN-based image inpainting approaches adopt an average strategy t...
Deep neural networks (DNNs) have demonstrated their power on many widely...
Recent research has witnessed the advances in facial image editing tasks...
Generative Adversarial Networks (GANs) are formulated as minimax game
pr...
This work studied the score-based black-box adversarial attack problem, ...
Heterogeneous face recognition (HFR) refers to matching face images acqu...
Adversarial examples have been well known as a serious threat to deep ne...
In this work, we study the problem of backdoor attacks, which add a spec...
Adversarial examples have been shown to be the severe threat to deep neu...
Kinship face synthesis is an interesting topic raised to answer question...
Existing face super-resolution (SR) methods mainly assume the input imag...
Video super-resolution (VSR) methods have recently achieved a remarkable...
Deep Convolutional Neural Networks (CNNs) have been pushing the frontier...
There has been an increasing research interest in age-invariant face
rec...
Face recognition has obtained remarkable progress in recent years due to...
As facial appearance is subject to significant intra-class variations ca...
Face recognition has achieved revolutionary advancement owing to the
adv...
Face detection has achieved great success using the region-based methods...
Faster R-CNN is one of the most representative and successful methods fo...
Convolutional neural networks have achieved great improvement on face
re...
Face detection and alignment in unconstrained environment are challengin...
Practical face recognition has been studied in the past decades, but sti...