The prediction of road users' future motion is a critical task in suppor...
The long-standing one-to-many issue of the open-domain dialogues poses
s...
A new approach, iteration projection method, is proposed to solve the sa...
Due to their ability to offer more comprehensive information than data f...
Multi-Label Remote Sensing Image Classification (MLRSIC) has received
in...
The continual appearance of new objects in the visual world poses
consid...
In this paper, we propose a novel prosody disentangle method for prosodi...
Predicting the future motion of surrounding road users is a crucial and
...
The ability to predict the future movements of other vehicles is a
subco...
Crowd counting is a challenging task due to the issues such as scale
var...
Conversational Recommender Systems (CRSs) in E-commerce platforms aim to...
Building footprints data is of importance in several urban applications ...
Hyperparameter optimization is a challenging problem in developing deep
...
The rising demand for Active Safety systems in automotive applications
s...
Research on Wi-Fi sensing over the past decade has been thriving, but no...
Street view images have been increasingly used in tasks like urban land ...
The ability to predict multiple possible future positions of the ego-veh...
This paper addresses the learning task of estimating driver drowsiness f...
The human vision and perception system is inherently incremental where n...
The condition of the Glomeruli, or filter sacks, in renal Direct
Immunof...
Electrical distribution poles are important assets in electricity supply...
In team-based invasion sports such as soccer and basketball, analytics i...
Histopathology image analysis can be considered as a Multiple instance
l...
This work tackles the problem of generating a medical report for multi-i...
An increasing number of machine learning tasks require dealing with larg...
The effectiveness of Symmetric Positive Definite (SPD) manifold features...
This work tackles the automatic fine-grained slide quality assessment pr...
Lung nodule classification is a class imbalanced problem, as nodules are...
Lung nodule classification is a class imbalanced problem because nodules...
Ancient Chinese texts present an area of enormous challenge and opportun...
Automatic video keyword generation is one of the key ingredients in redu...
The prediction of periodical time-series remains challenging due to vari...
Recent advances suggest that encoding images through Symmetric Positive
...