45 Result(s)
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Chapter and Conference Paper
A Region Based Non-overlap** Reference Speech Estimation Method for Speaker Extraction
Speaker extraction is a technique that separates the target speech from multi-talker mixtures using a priori information about the target speaker, such as pre-enrolled reference speech. However, in real-world ...
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Chapter and Conference Paper
DQN-Based Applications Offloading with Multiple Interdependent Tasks in Mobile Edge Computing
Recently, Vehicular Edge Computing (VEC) is evolving as a solution for offloading computationally intensive tasks in in-vehicle environments. However, when the number of vehicles and users is large, pure edge ...
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Chapter and Conference Paper
Reachability Map-Based Motion Planning for Robotic Excavation
The trend towards automation of excavation has necessitated the development of an efficient method for excavator motion planning. Traditional approaches typically model the excavator as a 4-DoF (degrees of fre...
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Chapter and Conference Paper
EduAction: A College Student Action Dataset for Classroom Attention Estimation
With the development of the action recognition technique, it is possible to automatically analyze the college students’ attention status through the recognition of their behavior in the classroom, which is of ...
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Chapter and Conference Paper
The Tenth Visual Object Tracking VOT2022 Challenge Results
The Visual Object Tracking challenge VOT2022 is the tenth annual tracker benchmarking activity organized by the VOT initiative. Results of 93 entries are presented; many are state-of-the-art trackers published...
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Chapter and Conference Paper
Towards Real-World Video Deblurring by Exploring Blur Formation Process
This paper aims at exploring how to synthesize close-to-real blurs that existing video deblurring models trained on them can generalize well to real-world blurry videos. In recent years, deep learning-based ap...
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Chapter and Conference Paper
Attention Word Embedding Network-Based Lightweight Automatic Essay Scoring Model
In recent years, automatic essay scoring technology has received more and more attention in the fields of education and research, and its purpose is to use natural language processing technology to automatical...
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Chapter and Conference Paper
Large Pretrained Models on Multimodal Sentiment Analysis
Previous researches on multimodal sentiment analysis mainly focused on the design of hand-crafted features and fusion approaches. Manually extracted features are fixed and cannot be fine-tuned. The choice of e...
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Chapter and Conference Paper
FRSM: A Novel Fault-Tolerant Approach for Redundant-Path-Enabled Service Migration in Mobile Edge Computing
Mobile Edge Computing (MEC) provides users with low-latency, highly responsive services by deploying Edge Servers (ESs) near applications. MEC allows any edge-hosted application or service to be migrated betwe...
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Chapter and Conference Paper
Fine-Grained Access Control for Power Mobile Service Based on PA Network Under Zero-Trust Framework
In the power mobile interconnection scenario, the traditional role-based access control (RBAC) is no longer applicable due to the large number of mobile terminals and resource services, complex and diverse acc...
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Chapter and Conference Paper
StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN
One-shot talking face generation aims at synthesizing a high-quality talking face video from an arbitrary portrait image, driven by a video or an audio segment. In this work, we provide a solution from a novel...
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Chapter and Conference Paper
Mobile Terminal Security Protection Method Based on Community Detection Algorithms and Graph Matching Networks
The rapid growth in the number of malware apps poses a great danger to users of power mobile terminals. Among smart devices, devices using the Android system are very popular and thus are easy targets for malw...
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Chapter and Conference Paper
A Novel Approach for User Demand-aware Data Center Construction and Service Consolidation
The recent intensifying computational demands from multinationals enterprises have motivated the magnification for large complicated cloud data centers (DCs) to handle business, monetary, Internet and commerci...
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Chapter and Conference Paper
High Power-Efficient and Performance-Density FPGA Accelerator for CNN-Based Object Detection
The Field Programmable Gate Array (FPGA) accelerator for CNN-based object detection has been attracting widespread attention in computer vision. For most existing FPGA accelerators, the inference accuracy and ...
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Chapter and Conference Paper
Self-training vs Pre-trained Embeddings for Automatic Essay Scoring
People usually believe that using pre-trained word vectors or pre-trained language models can effectively improve task performance. But that is not the case. A sufficient amount of annotated data is usually re...
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Chapter and Conference Paper
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Single Object Tracking is the third annual UAV tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer Vision (ECC...
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Chapter and Conference Paper
Sliding-Window Belief Propagation with Unequal Window Size for Nonstationary Heterogeneous Source
This paper presents a Sliding-Window Belief Propagation with Unequal Window Size (SWBP-UWS) algorithm to deal with the nonstationary heterogeneous source. In this algorithm, the entire source is divided into s...
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Chapter and Conference Paper
A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data
Function magnetic resonance imaging (fMRI) data are typically contaminated by noise introduced by head motion, physiological noise, and thermal noise. To mitigate noise artifact in fMRI data, a variety of deno...
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Chapter and Conference Paper
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview
The purpose of this manuscript is to provide an overview of the technical specifications and architecture of the Cancer imaging Phenomics Toolkit (CaPTk www.cbica.upenn.edu/captk
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Chapter and Conference Paper
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results
Object detection is a hot topic with various applications in computer vision, e.g., image understanding, autonomous driving, and video surveillance. Much of the progresses have been driven by the availability of ...
