Artificial neural networks (ANNs), inspired by the interconnection of re...
This article studies the distributed estimation problem of a multi-agent...
3D multi-person motion prediction is a challenging task that involves
mo...
This work proposes a novel face-swapping framework FlowFace++, utilizing...
In this paper, we focus on the distributed set-membership filtering (SMF...
In this article, we focus on the cooperative state estimation problem of...
This workshop Report Out focuses on the foundational elements of trustwo...
Human affective behavior analysis focuses on analyzing human expressions...
For few-shot learning, it is still a critical challenge to realize
photo...
Synthesizing controllable motion for a character using deep learning has...
Humans are sophisticated at reading interlocutors' emotions from multimo...
Determining causal effects of temporal multi-intervention assists
decisi...
Humans are skilled in reading the interlocutor's emotion from multimodal...
As a fine-grained and local expression behavior measurement, facial acti...
Expressions and facial action units (AUs) are two levels of facial behav...
This work is concerned with providing a principled decision process for
...
Facial expression analysis has been a crucial research problem in the
co...
Real-time density estimation is ubiquitous in many applications, includi...
Audio-driven one-shot talking face generation methods are usually traine...
An autonomous experimentation platform in manufacturing is supposedly ca...
We propose an audio-driven talking-head method to generate photo-realist...
This paper develops a frequentist solution to the functional calibration...
Automatic affective recognition has been an important research topic in ...
Retrospectively gated cine (retro-cine) MRI is the clinical standard for...
In this paper, we propose a novel text-based talking-head video generati...
This paper is concerned with a nonparametric regression problem in which...
Taking electron microscopy (EM) images in high-resolution is time-consum...
Dimensionality reduction is a crucial first step for many unsupervised
l...
Tracking multiple moving objects in real-time in a dynamic threat enviro...
In semiconductor manufacturing, statistical quality control hinges on an...
This paper presents an academia-industry joint case study concerning an
...
This paper presents an academia-industry joint study concerning an effec...
Intel SGX Guard eXtensions (SGX), a hardware-supported trusted execution...
The big data industry is facing new challenges as concerns about privacy...
This work proposes a new nonparametric method to compare the underlying ...
This paper describes an approach to the facial action units detections. ...
Facial Action Units Detection (FAUD), one of the main approaches for fac...
Dimensionality reduction is considered as an important step for ensuring...
Passive device installation on wind turbine generators (WTGs) can potent...
Recent face reenactment studies have achieved remarkable success either
...
Self-organizing map(SOM) have been widely applied in clustering, this pa...