In this paper, we develop a new method to automatically convert 2D line
...
We propose Structured Exploration with Achievements (SEA), a multi-stage...
Collusive fraud, in which multiple fraudsters collude to defraud health
...
A complex system with cluttered observations may be a coupled mixture of...
In this paper, we revisit the long-standing problem of automatic
reconst...
The automatic generation of floorplans given user inputs has great poten...
We present Reward-Switching Policy Optimization (RSPO), a paradigm to
di...
In computer-aided design (CAD) systems, 2D line drawings are commonly us...
Sequencing technologies are prone to errors, making error correction (EC...
Depth-from-focus (DFF) is a technique that infers depth using the focus
...
One practical requirement in solving dynamic games is to ensure that the...
Human trajectory prediction has received increased attention lately due ...
Nowadays, the prevalence of sensor networks has enabled tracking of the
...
In this paper, we propose a learning-based approach to the task of
autom...
In computer vision, superpixels have been widely used as an effective wa...
In multi-agent games, the complexity of the environment can grow
exponen...
Advanced image synthesis methods can generate photo-realistic images for...
Recently, there has been growing interest in developing learning-based
m...
Traffic signal control is an emerging application scenario for reinforce...
Single-image piece-wise planar 3D reconstruction aims to simultaneously
...
In the current field of computer vision, automatically generating texts ...
Physical library collections are valuable and long standing resources fo...
Linear perspective is widely used in landscape photography to create the...
In the literature, most existing graph-based semi-supervised learning (S...
The capacity of automatically modeling photographic composition is valua...
This report concerns the use of techniques for sparse signal representat...
L1-minimization refers to finding the minimum L1-norm solution to an
und...