Publications (8)
Disentangling Writer and Character Styles for Handwriting Generation
Gang Dai, Yifan Zhang, Qingfeng Wang +4
Training machines to synthesize diverse handwritings is an intriguing task. Recently, RNN-based methods have been proposed to generate stylized online Chinese characters. However,…
Integrating Biological and Machine Intelligence: Attention Mechanisms in Brain-Computer Interfaces
Jiyuan Wang, Weishan Ye, Jialin He +4
With the rapid advancement of deep learning, attention mechanisms have become indispensable in electroencephalography (EEG) signal analysis, significantly enhancing Brain-Computer…
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems
Jianli Yu, Zhuliang Yu
Objective. Many electroencephalogram (EEG)-based brain-computer interface (BCI) systems use a large amount of channels for higher performance, which is time-consuming to set up and…
Enhancing User-Oriented Proactivity in Open-Domain Dialogues with Critic Guidance
Yufeng Wang, Jinwu Hu, Ziteng Huang +10
Open-domain dialogue systems aim to generate natural and engaging conversations, providing significant practical value in real applications such as social robotics and personal ass…
Joint Representation of Multiple Geometric Priors via a Shape Decomposition Model for Single Monocular 3D Pose Estimation
Mengxi Jiang, Zhuliang Yu, Cuihua Li +1
In this paper, we aim to recover the 3D human pose from 2D body joints of a single image. The major challenge in this task is the depth ambiguity since different 3D poses may produ…
Open-World Drone Active Tracking with Goal-Centered Rewards
Haowei Sun, Jinwu Hu, Zhirui Zhang +7
Drone Visual Active Tracking aims to autonomously follow a target object by controlling the motion system based on visual observations, providing a more practical solution for effe…
M3D: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition
Ting Luo, Jing Zhang, Yingwei Qiu +4
Emotion decoding using Electroencephalography (EEG)-based affective brain-computer interfaces (aBCIs) plays a crucial role in affective computing but is limited by challenges such…
You Only Look & Listen Once: Towards Fast and Accurate Visual Grounding
Chaorui Deng, Qi Wu, Guanghui Xu +4
Visual Grounding (VG) aims to locate the most relevant region in an image, based on a flexible natural language query but not a pre-defined label, thus it can be a more useful tech…