Social media offers a unique lens to observe users emotions and subjecti...
Extracting precise geographical information from textual contents is cru...
Convolutional Neural Network (CNN) based crowd counting methods have ach...
For uncertain multiple inputs multi-outputs (MIMO) nonlinear systems, it...
Traffic flow forecasting is essential for traffic planning, control and
...
Traffic forecasting is an essential component of intelligent transportat...
Hand gesture recognition attracts great attention for interaction since ...
Sparse depth measurements are widely available in many applications such...
Personalized image aesthetic assessment (PIAA) has recently become a hot...
The antagonistic behavior of the crowd often exacerbates the seriousness...
Trajectory prediction is a fundamental and challenging task for numerous...
We present a novel trajectory prediction algorithm for pedestrians based...
Localizing objects with weak supervision in an image is a key problem of...
Antagonistic crowd behaviors are often observed in cases of serious conf...
This paper proposes a method based on repulsive forces and sparse
recons...
When assessing whether an image of high or low quality, it is indispensa...
QR codes are usually scanned in different environments, so they must be
...
It is important to monitor and analyze crowd events for the sake of city...
With the continued proliferation of smart mobile devices, Quick Response...
In this paper we present a novel crowd simulation method by modeling the...
In this paper, we present a disassemble-and-pack approach for a mechanis...
We present a unified model for crowd simulation, CubeP, which comprehens...
In this paper, we present a novel CubeP model for crowd simulation that
...
Crowd simulation is a daunting task due to the lack of a comprehensive
a...
Image deblurring techniques play important roles in many image processin...
Expression cloning plays an important role in facial expression synthesi...
In this paper, a macroblock classification method is proposed for variou...