The alignment of adjacent frames is considered an essential operation in...
Recently, several spatial-temporal memory-based methods have verified th...
Open relation extraction (OpenRE) is the task of extracting relation sch...
This paper proposes the first real-world rolling shutter (RS) correction...
In empathetic conversations, humans express their empathy to others with...
No-Reference Image Quality Assessment (NR-IQA) aims to assess the percep...
Video deblurring is still an unsolved problem due to the challenging
spa...
Inverting a Generative Adversarial Network (GAN) facilitates a wide rang...
One-shot talking face generation aims at synthesizing a high-quality tal...
The short text matching task employs a model to determine whether two sh...
The bilinear method is mainstream in Knowledge Graph Embedding (KGE), ai...
Recent face generation methods have tried to synthesize faces based on t...
Human conversations consist of reasonable and natural topic flows, which...
Most existing video tasks related to "human" focus on the segmentation o...
Current methods of multi-person pose estimation typically treat the
loca...
It is difficult to determine the scale and aspect ratio of anchors for
a...
This paper studies the neural architecture search (NAS) problem for
deve...
The existing text-guided image synthesis methods can only produce limite...
To generate "accurate" scene graphs, almost all existing methods predict...
Channel pruning is formulated as a neural architecture search (NAS) prob...
Lacking enough high quality proposals for RoI box head has impeded two-s...
In this work, we propose TediGAN, a novel framework for multi-modal imag...
In this work, we present interpGaze, a novel framework for controllable ...
The automatic quality assessment of self-media online articles is an urg...
Recently, variational auto-encoder (VAE) based approaches have made
impr...
The sequence-to-sequence (Seq2Seq) model generates target words iterativ...
Most state-of-the-art semantic segmentation or scene parsing approaches ...
No-reference image quality assessment (NR-IQA) is a fundamental yet
chal...
Image-to-image translation has drawn great attention during the past few...
Image generation task has received increasing attention because of its w...
Witnessed the development of deep learning, increasing number of studies...
Deep learning approaches for sentiment classification do not fully explo...
Discriminatively learned correlation filters (DCF) have been widely used...