research
∙
09/21/2023
MeetScript: Designing Transcript-based Interactions to Support Active Participation in Group Video Meetings
While videoconferencing is prevalent, concurrent participation channels ...
share
research
∙
09/11/2023
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models
Personalized text-to-image generation has emerged as a powerful and soug...
research
∙
08/16/2023
A Hybrid Wireless Image Transmission Scheme with Diffusion
We propose a hybrid joint source-channel coding (JSCC) scheme, in which ...
research
∙
08/07/2023
AvatarVerse: High-quality Stable 3D Avatar Creation from Text and Pose
Creating expressive, diverse and high-quality 3D avatars from highly cus...
research
∙
07/19/2023
Multi-modal Learning based Prediction for Disease
Non alcoholic fatty liver disease (NAFLD) is the most common cause of ch...
research
∙
07/17/2023
A Secure Aggregation for Federated Learning on Long-Tailed Data
As a distributed learning, Federated Learning (FL) faces two challenges:...
research
∙
07/07/2023
CSCLog: A Component Subsequence Correlation-Aware Log Anomaly Detection Method
Anomaly detection based on system logs plays an important role in intell...
research
∙
07/06/2023
A Survey on Evaluation of Large Language Models
Large language models (LLMs) are gaining increasing popularity in both a...
research
∙
06/14/2023
Research on an improved Conformer end-to-end Speech Recognition Model with R-Drop Structure
To address the issue of poor generalization ability in end-to-end speech...
research
∙
06/14/2023
Research on Named Entity Recognition in Improved transformer with R-Drop structure
To enhance the generalization ability of the model and improve the effec...
research
∙
06/13/2023
Automated 3D Pre-Training for Molecular Property Prediction
Molecular property prediction is an important problem in drug discovery ...
research
∙
05/24/2023
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade
In the constant updates of the product dialogue systems, we need to retr...
research
∙
05/08/2023
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey
The demand for intelligent industries and smart services based on big da...
research
∙
05/08/2023
Location Privacy Threats and Protections in Future Vehicular Networks: A Comprehensive Review
Location privacy is critical in vehicular networks, where drivers' traje...
research
∙
05/04/2023
Point Transformer For Coronary Artery Labeling
Coronary CT angiography (CCTA) scans are widely used for diagnosis of co...
research
∙
02/13/2023
Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval
Cross-domain image retrieval aims at retrieving images across different ...
research
∙
01/27/2023
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Spatiotemporal learning, which aims at extracting spatiotemporal correla...
research
∙
12/14/2022
DialogQAE: N-to-N Question Answer Pair Extraction from Customer Service Chatlog
Harvesting question-answer (QA) pairs from customer service chatlog in t...
research
∙
11/15/2022
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity Recognition
We present DualNER, a simple and effective framework to make full use of...
research
∙
10/31/2022
LAD-RCNN:A Powerful Tool for Livestock Face Detection and Normalization
With the demand for standardized large-scale livestock farming and the d...
research
∙
09/20/2022
Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking
Multi-target multi-camera tracking (MTMCT) plays an important role in in...
research
∙
09/16/2022
Weakly Supervised Semantic Segmentation via Progressive Patch Learning
Most of the existing semantic segmentation approaches with image-level c...
research
∙
09/16/2022
Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation
Generating precise class-aware pseudo ground-truths, a.k.a, class activa...
research
∙
09/10/2022
Adaptive Meta-learner via Gradient Similarity for Few-shot Text Classification
Few-shot text classification aims to classify the text under the few-sho...
research
∙
08/10/2022
Cross-chain between a Parent Chain and Multiple Side Chains
In certain Blockchain systems, multiple Blockchains are required to oper...
research
∙
08/08/2022
Gaze Estimation Approach Using Deep Differential Residual Network
Gaze estimation, which is a method to determine where a person is lookin...
research
∙
08/08/2022
Dataset Obfuscation: Its Applications to and Impacts on Edge Machine Learning
Obfuscating a dataset by adding random noises to protect the privacy of ...
research
∙
07/13/2022
Graph Property Prediction on Open Graph Benchmark: A Winning Solution by Graph Neural Architecture Search
Aiming at two molecular graph datasets and one protein association subgr...
research
∙
05/07/2022
λ-domain VVC Rate Control Based on Game Theory
Versatile Video Coding (VVC) has set a new milestone in high-efficiency ...
research
∙
04/30/2022
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs
NLP-powered automatic question generation (QG) techniques carry great pe...
research
∙
03/08/2022
Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation
Self-supervised learning (SSL) recently has achieved outstanding success...
research
∙
03/01/2022
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation
Image semantic segmentation aims at the pixel-level classification of im...
research
∙
02/20/2022
Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection
In this paper, we propose a distortion-aware loop filtering model to imp...
research
∙
02/13/2022
LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling
Compared with traditional task-irrelevant downsampling methods, task-ori...
research
∙
02/05/2022
Less is More: Reversible Steganography with Uncertainty-Aware Predictive Analytics
Artificial neural networks have advanced the frontiers of reversible ste...
research
∙
01/16/2022
Strong convergence rate of the Euler scheme for SDEs driven by additive rough fractional noises
The strong convergence rate of the Euler scheme for SDEs driven by addit...
research
∙
01/14/2022
A Semantic Web Technology Index
Semantic Web (SW) technology has been widely applied to many domains suc...
research
∙
01/04/2022
Graph Neural Networks for Double-Strand DNA Breaks Prediction
Double-strand DNA breaks (DSBs) are a form of DNA damage that can cause ...
research
∙
12/23/2021
Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network
Current fully-supervised facial landmark detection methods have progress...
research
∙
12/12/2021
A simple proof of three properties on Simpson's 4-slot Algorithm
In this paper we present an invariance proof of three properties on Simp...
research
∙
10/26/2021
Multi-Faceted Hierarchical Multi-Task Learning for a Large Number of Tasks with Multi-dimensional Relations
There has been many studies on improving the efficiency of shared learni...
research
∙
10/09/2021
A Feature Consistency Driven Attention Erasing Network for Fine-Grained Image Retrieval
Large-scale fine-grained image retrieval has two main problems. First, l...
research
∙
09/29/2021
Detailed Region-Adaptive Normalization for Heavy Makeup Transfer
In recent years, facial makeup transfer has attracted growing attention ...
research
∙
09/23/2021
Joint Estimation and Inference for Multi-Experiment Networks of High-Dimensional Point Processes
Modern high-dimensional point process data, especially those from neuros...
research
∙
09/23/2021
Fast Point Voxel Convolution Neural Network with Selective Feature Fusion for Point Cloud Semantic Segmentation
We present a novel lightweight convolutional neural network for point cl...
research
∙
09/23/2021
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation
Feature encoding is essential for point cloud analysis. In this paper, w...
research
∙
09/22/2021
Causal Discovery in High-Dimensional Point Process Networks with Hidden Nodes
Thanks to technological advances leading to near-continuous time observa...
research
∙
09/22/2021
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
Despite the success of neural dialogue systems in achieving high perform...
research
∙
08/26/2021
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios
Object detection on drone-captured scenarios is a recent popular task. A...
research
∙
08/14/2021