Video matting has broad applications, from adding interesting effects to...
Vehicle-to-everything (V2X) autonomous driving opens up a promising dire...
Micro-videos platforms such as TikTok are extremely popular nowadays. On...
Membership Inference Attack (MIA) identifies whether a record exists in ...
Graph Neural Network (GNN)-based models have become the mainstream appro...
Living needs refer to the various needs in human's daily lives for survi...
Understanding and characterizing the vulnerability of urban infrastructu...
Automated Machine Learning (AutoML) techniques have recently been introd...
We present an algorithm for reconstructing the radiance field of a
large...
Graph Neural Network(GNN) based social recommendation models improve the...
Dynamic radiance field reconstruction methods aim to model the time-vary...
With the outbreak of today's streaming data, sequential recommendation i...
Existing recommender systems extract the user preference based on learni...
Spatiotemporal activity prediction, aiming to predict user activities at...
Recommender systems are prone to be misled by biases in the data. Models...
Recommender systems are playing an increasingly important role in allevi...
Multi-types of behaviors (e.g., clicking, adding to cart, purchasing, et...
Vision-language navigation is the task of directing an embodied agent to...
Multi-behavior recommendation exploits multiple types of user-item
inter...
Vision-and-language Navigation (VLN) task requires an embodied agent to
...
3D visual grounding aims to locate the referred target object in 3D poin...
We apply an iterative weighting scheme for additive light field synthesi...
The precise estimate of remaining useful life (RUL) is vital for the
pro...
In this paper, we detailedly describe our solution for the IEEE BigData ...
Incorporating social relations into the recommendation system, i.e. soci...
Location recommendation is defined as to recommend locations (POIs) to u...
Recommender system is one of the most important information services on
...
These years much effort has been devoted to improving the accuracy or
re...
Two-stage methods have dominated Human-Object Interaction (HOI) detectio...
Collaborative filtering (CF), as a fundamental approach for recommender
...
In this paper, we address the makeup transfer and removal tasks
simultan...
We present an algorithm for generating novel views at arbitrary viewpoin...
The embedding-based representation learning is commonly used in deep lea...
Group buying, as an emerging form of purchase in social e-commerce websi...
We present a new flow-based video completion algorithm. Previous flow
co...
We tackle the challenging problem of human-object interaction (HOI)
dete...
Recent work has shown that the structure of deep convolutional neural
ne...
With the increasing prevalence and more powerful camera systems of mobil...
Bundle recommendation aims to recommend a bundle of items for a user to
...
In recent years, much research effort on recommendation has been devoted...
Human activities often occur in specific scene contexts, e.g., playing
b...
Neural Architecture Search (NAS) that aims to automate the procedure of
...
We propose a novel Pose-robust Spatial-aware GAN (PSGAN) for transferrin...
The multi-domain image-to-image translation is received increasing atten...
Recommendation models mainly deal with categorical variables, such as
us...
Most existing recommender systems leverage user behavior data of one typ...
Most existing recommender systems leverage the data of one type of user
...
Social recommendation, which utilizes social relations to enhance recomm...
Recent years have witnessed rapid progress in detecting and recognizing
...
This work presents a novel approach for robust PCA with total variation
...