Typical video compression systems consist of two main modules: motion co...
This paper introduces a learned hierarchical B-frame coding scheme in
re...
This paper proposes a learning-based video compression framework for
var...
We design a fast car detection and tracking algorithm for traffic monito...
This paper introduces an end-to-end learned image compression system, te...
In this paper, we address the design of lightweight deep learning-based ...
This paper proposes a learning-based video codec, specifically used for
...
Recently, Deep-Neural-Network (DNN) based edge prediction is progressing...
Typical convolutional networks are trained and conducted on RGB images.
...
Lane detection plays an important role in a self-driving vehicle. Severa...
This paper introduces the notion of soft bits to address the rate-distor...
Road scene understanding is a critical component in an autonomous drivin...
We propose a lossy image compression system using the deep-learning
auto...
Real-time semantic segmentation plays an important role in practical
app...
Lane mark detection is an important element in the road scene analysis f...