Person search has recently been a challenging task in the computer visio...
Unsupervised hashing methods have attracted widespread attention with th...
Vehicle re-identification (reID) aims at identifying vehicles across
dif...
In recent years, we have witnessed a surge of interest in multi-view
rep...
With the development of smart cities, urban surveillance video analysis ...
Vehicle re-identification (reID) plays an important role in the automati...
Vehicle re-identification (reID) often requires recognize a target vehic...
Hashing techniques, also known as binary code learning, have recently ga...
With the popularity of multimedia technology, information is always
repr...
During the last decades, learning a low-dimensional space with discrimin...
Over the past few decades, we have witnessed a large family of algorithm...
During the last decades, we have witnessed a surge of interests of learn...
Traditional face alignment based on machine learning usually tracks the
...
The widespread popularization of vehicles has facilitated all people's l...
With the development of information technology, we have witnessed an age...
Vehicle re-identification (reID) is to identify a target vehicle in diff...
Recently, the progress of learning-by-synthesis has proposed a training ...
With the development of multimedia time, one sample can always be descri...
Recently, the progress of learning-by-synthesis has proposed a training ...
Music genre recognition based on visual representation has been successf...
In the past decades, feature-learning-based 3D shape retrieval approache...
With the development of multimedia era, multi-view data is generated in
...
The tracking method based on the extreme learning machine (ELM) is effic...
Recent methods for boundary or edge detection built on Deep Convolutiona...
With the development of feature extraction technique, one sample always ...