13 citations · 30 across the 11 of their papers we have counts for
11 papers
An Investigation of Distribution Alignment in Multi-Genre Speaker Recognition
Zhenyu Zhou, Junhui Chen, Namin Wang +2
Multi-genre speaker recognition is becoming increasingly popular due to its ability to better represent the complexities of real-world applications. However, a major challenge is t…
Multi-Domain Adaptation by Self-Supervised Learning for Speaker Verification
Wan Lin, Lantian Li, Dong Wang
In real-world applications, speaker recognition models often face various domain-mismatch challenges, leading to a significant drop in performance. Although numerous domain adaptat…
Leveraging the Power of Data Augmentation for Transformer-based Tracking
Jie Zhao, Johan Edstedt, Michael Felsberg +2
Due to long-distance correlation and powerful pretrained models, transformer-based methods have initiated a breakthrough in visual object tracking performance. Previous works focus…
Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning
Zhenrui Yue, Huimin Zeng, Mengfei Lan +2
With emerging online topics as a source for numerous new events, detecting unseen / rare event types presents an elusive challenge for existing event detection methods, where only…
Visualizing data augmentation in deep speaker recognition
Pengqi Li, Lantian Li, Askar Hamdulla +1
Visualization is of great value in understanding the internal mechanisms of neural networks. Previous work found that LayerCAM is a reliable visualization tool for deep speaker mod…
Vision-based Anti-UAV Detection and Tracking
Jie Zhao, Jingshu Zhang, Dongdong Li +1
Unmanned aerial vehicles (UAV) have been widely used in various fields, and their invasion of security and privacy has aroused social concern. Several detection and tracking system…
Neural Topic Modeling with Deep Mutual Information Estimation
Kang Xu, Xiaoqiu Lu, Yuan-fang Li +5
The emerging neural topic models make topic modeling more easily adaptable and extendable in unsupervised text mining. However, the existing neural topic models is difficult to ret…
Enhancing Perpendicular Magnetic Anisotropy in Garnet Ferrimagnet by Interfacing with Few-Layer WTe2
Guanzhong Wu1, Dongying Wang, Nishchhal Verma +11
Engineering magnetic anisotropy in a ferro- or ferrimagnetic (FM) thin film is crucial in spintronic device. One way to modify the magnetic anisotropy is through the surface of the…
Investigation of the complex magnetism in the breathing pyrochlore LiIn(CrRh)O
Dong-yi Wang, Cheng Tan, Kevin Huang +1
We have performed a detailed investigation of the new `breathing' pyrochlore compound LiInCrO through Rh substitution with measurements of magnetic susceptibility, specific…
Bayesian Neighbourhood Component Analysis
Dong Wang, Xiaoyang Tan
Learning a good distance metric in feature space potentially improves the performance of the KNN classifier and is useful in many real-world applications. Many metric learning algo…
Unsupervised Feature Learning with C-SVDDNet
Dong Wang, Xiaoyang Tan
In this paper, we investigate the problem of learning feature representation from unlabeled data using a single-layer K-means network. A K-means network maps the input data into a…