Scale variation is a deep-rooted problem in object counting, which has n...
Compositional Zero-shot Learning (CZSL) aims to recognize novel concepts...
We present FengWu, an advanced data-driven global medium-range weather
f...
Automating configuration is the key path to achieving zero-touch network...
Network slicing achieves cost-efficient slice customization to support
h...
One of the limitations in end-to-end automatic speech recognition framew...
Logs are one of the most critical data for service management. It contai...
5G and beyond is expected to enable various emerging use cases with dive...
Pedestrian counting is a fundamental tool for understanding pedestrian
p...
As the number of edge devices with computing resources (e.g., embedded G...
Mobile headsets should be capable of understanding 3D physical environme...
UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks...
Knowledge Tracing is the process of tracking mastery level of different
...
Network slicing allows mobile network operators to virtualize infrastruc...
Network slicing is a promising technology that allows mobile network
ope...
Crowd counting on the drone platform is an interesting topic in computer...
Neural network based speech recognition systems suffer from performance
...
Scientometrics studies have extended from direct citations to high-order...
Autonomous driving needs various line-of-sight sensors to perceive
surro...
Visual Question Answering (VQA) is challenging due to the complex cross-...
Unlabeled data learning has attracted considerable attention recently.
H...
Image text carries essential information to understand the scene and per...
Drones shooting can be applied in dynamic traffic monitoring, object
det...
Network slicing enables multiple virtual networks run on the same physic...
Cross-domain crowd counting (CDCC) is a hot topic due to its importance ...
5G and edge computing will serve various emerging use cases that have di...
For pixel-level crowd understanding, it is time-consuming and laborious ...
Multiple-operators (multi-OPs) spectrum sharing mechanism can effectivel...
Recently, crowd counting using supervised learning achieves a remarkable...
There is a pressing need to interconnect physical systems such as power ...
Existing shape estimation methods for deformable object manipulation suf...
To achieve human-like dexterity for anthropomorphic robotic hands, it is...
Virtualization is a promising technology that has facilitated cloud comp...
The traffic in wireless networks has become diverse and fluctuating both...
Exchange of crucial and confidential information leads to the unpreceden...
The development of intelligent transportation systems raises many
requir...
The demand for communication services in the era of intelligent terminal...
Parking lots (PLs) are usually full with cars. If these cars are formed ...
Datacenters (DCs), deployed in a large scale to support the ever increas...
This paper considers a new bi-objective optimization formulation for rob...