Following a leading vehicle is a daily but challenging task because it
r...
Car-following behavior modeling is critical for understanding traffic fl...
The problem of broad practical interest in spatiotemporal data analysis,...
Accurate calibration of car-following models is essential for investigat...
No human drives a car in a vacuum; she/he must negotiate with other road...
Modern time series datasets are often high-dimensional, incomplete/spars...
For hourly PM2.5 concentration prediction, accurately capturing the data...
Interpretation of common-yet-challenging interaction scenarios can benef...
Semantic learning and understanding of multi-vehicle interaction pattern...
Person re-identification (person Re-Id) aims to retrieve the pedestrian
...
This paper aims to solve the problem of large-scale video retrieval by a...
In the big data era, massive amount of multimedia data with geo-tags has...
Online social networking techniques and large-scale multimedia systems a...
With the proliferation of online social networking services and mobile s...
Due to the rapid development of mobile Internet techniques, cloud comput...
With the rapid development of mobile Internet and cloud computing techno...
Deep Convolutional Neural Networks (DCNNs) are currently popular in huma...
Image similarity measures play an important role in nearest neighbor sea...
Vast amount of multimedia data contains massive and multifarious social
...
Massive amount of multimedia data that contain times- tamps and geograph...
Due to the advances in mobile computing and multimedia techniques, there...
With advances in multimedia technologies and the proliferation of smart
...
With the rapid development of mobile computing and Web services, a huge
...
Massive amount of data that are geo-tagged and associated with text
info...
Person re-identification (re-id) refers to matching pedestrians
across d...