JPEG compression adopts the quantization of Discrete Cosine Transform (D...
Learned image compression methods have shown superior rate-distortion
pe...
Pretrained visual-language models have demonstrated impressive zero-shot...
Learned Image Compression (LIC) has recently become the trending techniq...
Low-light image enhancement (LLIE) aims to improve the illuminance of im...
Generating coherent and natural movement is the key challenge in video
g...
In this paper, we consider the task of space-time video super-resolution...
Recently, user-oriented auto-encoders (UAEs) have been widely used in
re...
Next point-of-interest (POI) recommendation is a critical task in
locati...
Learned video compression methods have gained a variety of interest in t...
Micro-video background music recommendation is a complicated task where ...
We propose a novel memory-enhancing mechanism for recurrent neural netwo...
Knowledge distillation (KD), which can efficiently transfer knowledge fr...
Learned video compression has recently emerged as an essential research ...
Traditional content-based tag recommender systems directly learn the
ass...
Recommending appropriate tags to items can facilitate content organizati...
Video deblurring remains a challenging task due to various causes of
blu...
Traditional recommender systems aim to estimate a user's rating to an it...
Generating controllable videos conforming to user intentions is an appea...
In this paper, we consider the task of space-time video super-resolution...
In this paper, we propose a cross-modal variational auto-encoder (CMVAE)...
For a typical Scene Graph Generation (SGG) method, there is often a larg...
Real-world scenarios often require the anticipation of object interactio...
Hybrid recommendations have recently attracted a lot of attention where ...
Constructing adversarial examples in a black-box threat model injures th...
Generating non-existing frames from a consecutive video sequence has bee...
Traditional 3D mesh saliency detection algorithms and corresponding data...
As an emerging type of user-generated content, micro-video drastically
e...
Adversarial learning has shown its advances in generating natural and di...
Deep convolutional neural network based image super-resolution (SR) mode...
Recently, with the prevalence of large-scale image dataset, the co-occur...
Writing review for a purchased item is a unique channel to express a use...
Expression cloning plays an important role in facial expression synthesi...
In this paper, a macroblock classification method is proposed for variou...
Video enhancement plays an important role in various video applications....
In this paper, a new heat-map-based (HMB) algorithm is proposed for grou...