In this paper, we consider a numerical method for the multi-term
Caputo-...
The Normalized Eight-Point algorithm has been widely viewed as the
corne...
When deployed in practical applications, computer vision systems will
en...
Presto is an open-source distributed SQL query engine for OLAP, aiming f...
Existing learning-based point feature descriptors are usually task-agnos...
Although 3D point cloud data has received widespread attentions as a gen...
A single rolling-shutter (RS) image may be viewed as a row-wise combinat...
Anchor-free detectors basically formulate object detection as dense
clas...
With the ubiquity of rolling shutter (RS) cameras, it is becoming
increa...
3D point cloud registration is fragile to outliers, which are labeled as...
Limited by the locality of convolutional neural networks, most existing ...
The vast majority of modern consumer-grade cameras employ a rolling shut...
In this paper, we consider the inverse source problem for the time-fract...
Emergent hardwares can support mixed precision CNN models inference that...
In this paper, we present a novel linear algorithm to estimate the 6 DoF...
Current state-of-the-art detectors typically exploit feature pyramid to
...
Point cloud processing is very challenging, as the diverse shapes formed...
Point cloud analysis is very challenging, as the shape implied in irregu...
Despite the fact that Second Order Similarity (SOS) has been used with
s...
Transferring image-based object detectors to domain of videos remains a
...
Semantic labeling for very high resolution (VHR) images in urban areas, ...
This paper performs a comprehensive and comparative evaluation of the st...
Binary features have been incrementally popular in the past few years du...
Subset selection from massive data with noised information is increasing...
Hyperspectral unmixing (HU) plays a fundamental role in a wide range of
...
This paper proposes a novel Affine Subspace Representation (ASR) descrip...
Hyperspectral Unmixing (HU) has received increasing attention in the pas...