Despite great progress achieved by transformer in various vision tasks, ...
Traffic intersections are important scenes that can be seen almost every...
A profound understanding of inter-agent relationships and motion behavio...
Intelligent Traffic Light Control System (ITLCS) is a typical Multi-Agen...
Graph convolutional networks (GCNs) based methods have achieved advanced...
Pedestrian trajectory prediction is an important technique of autonomous...
Weakly supervised object detection (WSOD) has attracted more and more
at...
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...
By collecting the data of eyeball movement of pilots, it is possible to
...
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...
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...