Key-point-based scene understanding is fundamental for autonomous drivin...
The mobile robot relies on SLAM (Simultaneous Localization and Mapping) ...
Event cameras are capable of responding to log-brightness changes in
mic...
In this paper, we propose LF-PGVIO, a Visual-Inertial-Odometry (VIO)
fra...
Nowadays, the mainstream approach in position allocation system is to ut...
In this paper, we show that a binary latent space can be explored for co...
This letter presents a novel and retractable ring-shaped quadrotor calle...
Re-ranking draws increased attention on both academics and industries, w...
Motivated by the fact that forward and backward passes of a deep network...
Due to the domain shift, machine learning systems typically fail to
gene...
Loop closure is an important component of Simultaneous Localization and
...
Purpose: Arterial spin labeling (ASL) perfusion imaging indicates direct...
Network compression is crucial to making the deep networks to be more
ef...
Online advertising driven by auctions brings billions of dollars in reve...
Ads allocation, that allocates ads and organic items to limited slots in...
With the recent prevalence of reinforcement learning (RL), there have be...
A mixed list of ads and organic items is usually displayed in feed and h...
Visual-inertial-odometry has attracted extensive attention in the field ...
E-commerce platforms usually display a mixed list of ads and organic ite...
Applying feature dependent network weights have been proved to be effect...
In this paper, we introduce Cirrus, a new long-range bi-pattern LiDAR pu...
Image retrieval relies heavily on the quality of the data modeling and t...
Convolutional Neural Networks (CNNs) are known to be significantly
over-...
Arterial spin labeling (ASL) perfusion MRI provides a non-invasive way t...
LiDAR-based 3D object detection plays a crucial role in modern autonomou...
While generative adversarial networks (GANs) have revolutionized machine...
Domain shifts are frequently encountered in real-world scenarios. In thi...
Crowd counting usually addressed by density estimation becomes an
increa...
Lane detection is to detect lanes on the road and provide the accurate
l...
Recent years have witnessed the unprecedented rising of time series from...
Although Recommender Systems have been comprehensively studied in the pa...
Driven by the wave of urbanization in recent decades, the research topic...
Representation learning is a fundamental but challenging problem, especi...
Arterial spin labeling perfusion MRI is a noninvasive technique for meas...
Magnetic resonance fingerprinting (MRF) is a new technique for simultane...