
-
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
The dissemination of fake news significantly affects personal reputation...
read it
-
Deep Multi-Scale Features Learning for Distorted Image Quality Assessment
Image quality assessment (IQA) aims to estimate human perception based i...
read it
-
SRG-Net: Unsupervised Segmentation for Terracotta Warrior Point Cloud with 3D Pointwise CNN methods
In this paper, we present a seed-region-growing CNN(SRG-Net) for unsuper...
read it
-
Phoneme Based Neural Transducer for Large Vocabulary Speech Recognition
To join the advantages of classical and end-to-end approaches for speech...
read it
-
Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting
In traffic forecasting, graph convolutional networks (GCNs), which model...
read it
-
Affinity Space Adaptation for Semantic Segmentation Across Domains
Semantic segmentation with dense pixel-wise annotation has achieved exce...
read it
-
Residual Spatial Attention Network for Retinal Vessel Segmentation
Reliable segmentation of retinal vessels can be employed as a way of mon...
read it
-
Deep Local and Global Spatiotemporal Feature Aggregation for Blind Video Quality Assessment
In recent years, deep learning has achieved promising success for multim...
read it
-
LIRA: Lifelong Image Restoration from Unknown Blended Distortions
Most existing image restoration networks are designed in a disposable wa...
read it
-
Learning Disentangled Feature Representation for Hybrid-distorted Image Restoration
Hybrid-distorted image restoration (HD-IR) is dedicated to restore real ...
read it
-
Hierarchical Interaction Networks with Rethinking Mechanism for Document-level Sentiment Analysis
Document-level Sentiment Analysis (DSA) is more challenging due to vague...
read it
-
Rethinking Distributional Matching Based Domain Adaptation
Domain adaptation (DA) is a technique that transfers predictive models t...
read it
-
DyHGCN: A Dynamic Heterogeneous Graph Convolutional Network to Learn Users' Dynamic Preferences for Information Diffusion Prediction
Information diffusion prediction is a fundamental task for understanding...
read it
-
AutoSUM: Automating Feature Extraction and Multi-user Preference Simulation for Entity Summarization
Withthegrowthofknowledgegraphs, entity descriptions are becoming extreme...
read it
-
Investigations on Phoneme-Based End-To-End Speech Recognition
Common end-to-end models like CTC or encoder-decoder-attention models us...
read it
-
Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks
Numerous image superresolution (SR) algorithms have been proposed for re...
read it
-
Channel Attention Residual U-Net for Retinal Vessel Segmentation
Retinal vessel segmentation is a vital step for the diagnosis of many ea...
read it
-
Dense Residual Network for Retinal Vessel Segmentation
Retinal vessel segmentation plays an imaportant role in the field of ret...
read it
-
Full-Sum Decoding for Hybrid HMM based Speech Recognition using LSTM Language Model
In hybrid HMM based speech recognition, LSTM language models have been w...
read it
-
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment
We present a complete training pipeline to build a state-of-the-art hybr...
read it
-
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods
Off-Policy Actor-Critic (Off-PAC) methods have proven successful in a va...
read it
-
Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks
Quality assessment of omnidirectional images has become increasingly urg...
read it
-
Logic Bugs in IoT Platforms and Systems: A Review
In recent years, IoT platforms and systems have been rapidly emerging. A...
read it
-
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
Automatically labeling multiple styles for every song is a comprehensive...
read it
-
Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce
Information-seeking conversation system aims at satisfying the informati...
read it
-
DLB: Deep Learning Based Load Balancing
Load balancing mechanisms have been widely adopted by distributed platfo...
read it
-
Follow Alice into the Rabbit Hole: Giving Dialogue Agents Understanding of Human Level Attributes
For conversational AI and virtual assistants to communicate with humans ...
read it
-
Feature Fusion Detector for Semantic Cognition of Remote Sensing
The value of remote sensing images is of vital importance in many areas ...
read it
-
Jointly embedding the local and global relations of heterogeneous graph for rumor detection
The development of social media has revolutionized the way people commun...
read it
-
Learning review representations from user and product level information for spam detection
Opinion spam has become a widespread problem in social media, where hire...
read it
-
Tensor Oriented No-Reference Light Field Image Quality Assessment
Light field image (LFI) quality assessment is becoming more and more imp...
read it
-
Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Assessment
Stereoscopic image quality assessment (SIQA) has encountered non-trivial...
read it
-
Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Assessment
Stereoscopic image quality assessment (SIQA) has encountered non-trivial...
read it
-
No-Reference Light Field Image Quality Assessment Based on Micro-Lens Image
Light field image quality assessment (LF-IQA) plays a significant role d...
read it
-
Quality Assessment of Stereoscopic 360-degree Images from Multi-viewports
Objective quality assessment of stereoscopic panoramic images becomes a ...
read it
-
No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement
Light field image quality assessment (LFI-QA) is a significant and chall...
read it
-
Good Motive but Bad Design: Why ARM MPU Has Become an Outcast in Embedded Systems
As more and more embedded devices are connected to the Internet, leading...
read it
-
NNS: The Case For Neural Network-based Sorting
CPU-SIMD/GPU/TPUs will be increasingly powerful. The algorithm using neu...
read it
-
LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring
LSTM based language models are an important part of modern LVCSR systems...
read it
-
Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory
Objective quality assessment of stereoscopic omnidirectional images is a...
read it
-
Spectral Perturbation Meets Incomplete Multi-view Data
Beyond existing multi-view clustering, this paper studies a more realist...
read it
-
Review-Driven Answer Generation for Product-Related Questions in E-Commerce
The users often have many product-related questions before they make a p...
read it
-
Feature-Critic Networks for Heterogeneous Domain Generalization
The well known domain shift issue causes model performance to degrade wh...
read it
-
Hierarchical Reinforcement Learning for Multi-agent MOBA Game
Although deep reinforcement learning has achieved great success recently...
read it
-
TextField: Learning A Deep Direction Field for Irregular Scene Text Detection
Scene text detection is an important step of scene text reading system. ...
read it
-
Unsupervised Single Image Deraining with Self-supervised Constraints
Most existing single image deraining methods require learning supervised...
read it
-
Phantom Device Attack: Uncovering the Security Implications of the Interactions among Devices, IoT Cloud, and Mobile Apps
Smart home connects tens of home devices into the Internet, running a sm...
read it
-
Automated Evaluation of Semantic Segmentation Robustness for Autonomous Driving
One of the fundamental challenges in the design of perception systems fo...
read it
-
Data-driven Discovery of Cyber-Physical Systems
Cyber-physical systems (CPSs) embed software into the physical world. Th...
read it
-
Adapting Semantic Segmentation Models for Changes in Illumination and Camera Perspective
Semantic segmentation using deep neural networks has been widely explore...
read it