While standard speaker diarization attempts to answer the question "who
...
Educational Data Mining (EDM) has emerged as a vital field of research, ...
Deep learning based automatic medical image segmentation models often su...
Although numerous clustering algorithms have been developed, many existi...
Multi-view clustering (MVC) based on non-negative matrix factorization (...
With the shift towards on-device deep learning, ensuring a consistent
be...
Learning an effective speaker representation is crucial for achieving
re...
We propose an online tracking algorithm that performs the object detecti...
We propose a memory efficient method, named Stochastic Backpropagation (...
Background:Subarachnoid hemorrhage caused by ruptured cerebral aneurysm ...
Attributed graph clustering, which learns node representation from node
...
In this paper, we present a novel speaker diarization system for streami...
In this study, we propose to investigate triplet loss for the purpose of...
Despite the impressive clustering performance and efficiency in
characte...
In this paper, we present Long Short-term TRansformer (LSTR), a new temp...
Online tracking of multiple objects in videos requires strong capacity o...
We propose a hierarchical graph neural network (GNN) model that learns h...
The common implementation of face recognition systems as a cascade of a
...
We tackle the problem of visual search under resource constraints. Exist...
As facial interaction systems are prevalently deployed, security and
rel...
This paper reports methods and results in the DeeperForensics Challenge ...
We propose to detect Deepfake generated by face manipulation based on on...
In this study, we investigate self-supervised representation learning fo...
Despite speaker verification has achieved significant performance improv...
Reducing inconsistencies in the behavior of different versions of an AI
...
We present single-shot multi-object tracker (SMOT), a new tracking frame...
Due to people's emerging concern about data privacy, federated learning(...
Data augmentation has been highly effective in narrowing the data gap an...
In forensic applications, it is very common that only small naturalistic...
Forensic audio analysis for speaker verification offers unique challenge...
In this study, we propose the global context guided channel and
time-fre...
Fast IPv6 scanning is challenging in the field of network measurement as...
The reliability of using fully convolutional networks (FCNs) has been
su...
Measuring algorithmic bias is crucial both to assess algorithmic fairnes...
In this paper, we focus on improving the online face liveness detection
...
While software development productivity has grown rapidly, the weight va...
We propose a way to learn visual features that are compatible with previ...
Speaker verification systems often degrade significantly when there is a...
In this study, we introduce a convolutional time-frequency-channel "Sque...
Despite much research progress in image semantic segmentation, it remain...
As electronically stored data grow in daily life, obtaining novel and
re...
This paper presents a review of the 2018 WIDER Challenge on Face and
Ped...
Effective solving of constraint problems often requires choosing good or...
Effective general-purpose search strategies are an important component i...
Convolutional Neural Network (CNN) has demonstrated promising performanc...