Typically, object detection methods for autonomous driving that rely on
...
Due to the lack of real multi-agent data and time-consuming of labeling,...
Deep learning-based intelligent vehicle perception has been developing
p...
Modern perception systems of autonomous vehicles are known to be sensiti...
Accurate detection of large-scale, elliptical-shape fibers, including th...
Deep learning has been widely used in the perception (e.g., 3D object
de...
Computer vision applications in intelligent transportation systems (ITS)...
Heterogeneous trajectory forecasting is critical for intelligent
transpo...
Most object detection methods for autonomous driving usually assume a
co...
Existing multi-agent perception algorithms usually select to share deep
...
Restoring and inpainting the visual memories that are present, but often...
Renovating the memories in old photos is an intriguing research topic in...
Deep face recognition (FR) has achieved significantly high accuracy on
s...
In recent years, co-saliency object detection (CoSOD) has achieved
signi...
Vehicle re-identification (Re-ID) has become a popular research topic ow...
As a common visual problem, co-saliency detection within a single image ...
Constructing 3D structures from serial section data is a long standing
p...
Study of cultural-heritage objects with embellished realistic and abstra...
Wearable cameras, such as Google Glass and Go Pro, enable video data
col...
One popular approach to interactively segment the foreground object of
i...
Although dense local spatial-temporal features with bag-of-features
repr...