1 code implementation • 18 Dec 2023 • Haoyi Wang, Victor Sanchez, Chang-Tsun Li
Cross-age facial images are typically challenging and expensive to collect, making noise-free age-oriented datasets relatively small compared to widely-used large-scale facial datasets.
no code implementations • 19 Oct 2023 • Chenhao Xu, Chang-Tsun Li, Yongjian Hu, Chee Peng Lim, Douglas Creighton
Video instance segmentation, also known as multi-object tracking and segmentation, is an emerging computer vision research area introduced in 2019, aiming at detecting, segmenting, and tracking instances in videos simultaneously.
no code implementations • 24 Nov 2022 • Bosheng Yan, Chang-Tsun Li, Xuequan Lu
Most of the previous methods use the backbone network to extract global features for making predictions and only employ binary supervision (i. e., indicating whether the training instances are fake or authentic) to train the network.
1 code implementation • 29 Mar 2022 • Xufeng Lin, Chang-Tsun Li, Scott Adams, Abbas Kouzani, Richard Jiang, Ligang He, Yongjian Hu, Michael Vernon, Egan Doeven, Lawrence Webb, Todd Mcclellan, Adam Guskic
As an essential prerequisite task in image-based plant phenotyping, leaf segmentation has garnered increasing attention in recent years.
no code implementations • 19 Dec 2021 • Haoyi Wang, Victor Sanchez, Chang-Tsun Li
Since the proposed RMHHA mechanism ranks the discovered patches based on their importance, the length of the learning path of each patch in the FusionNet is proportional to the amount of information it carries (the longer, the more important).
no code implementations • 3 Nov 2021 • Manisha, Chang-Tsun Li, Xufeng Lin, Karunakar A. Kotegar
Source camera identification tools assist image forensic investigators to associate an image in question with a suspect camera.
no code implementations • 1 Jul 2021 • Xufeng Lin, Chang-Tsun Li, Victor Sanchez, Carsten Maple
Driven by recent advances in object detection with deep neural networks, the tracking-by-detection paradigm has gained increasing prevalence in the research community of multi-object tracking (MOT).
no code implementations • 13 Jun 2021 • Ching-Chun Chang, Xu Wang, Sisheng Chen, Isao Echizen, Victor Sanchez, Chang-Tsun Li
Given that reversibility is governed independently by the coding module, we narrow our focus to the incorporation of neural networks into the analytics module, which serves the purpose of predicting pixel intensities and a pivotal role in determining capacity and imperceptibility.
no code implementations • 23 Apr 2021 • Sheldon Fung, Xuequan Lu, Chao Zhang, Chang-Tsun Li
Extensive experiments show that our unsupervised learning method enables comparable detection performance to state-of-the-art supervised techniques, in both the intra- and inter-dataset settings.
no code implementations • 25 Nov 2020 • Shan Lin, Chang-Tsun Li, Alex C. Kot
To make Person Re-ID systems more practical and scalable, several cross-dataset domain adaptation methods have been proposed, which achieve high performance without the labeled data from the target domain.
no code implementations • 1 Jul 2020 • Haoyi Wang, Victor Sanchez, Chang-Tsun Li
In this paper, we propose a method for the age-oriented face synthesis task that achieves a high synthesis accuracy with strong identity permanence capabilities.
no code implementations • 20 Jun 2020 • Yijun Quan, Chang-Tsun Li
Due to such dependency, we postulate that a correlation predictor is ISO speed-specific, i. e. \textit{reliable correlation predictions can only be made when a correlation predictor is trained with images of similar ISO speeds to the image in question}.
no code implementations • 22 Apr 2020 • Yijun Quan, Chang-Tsun Li, Yujue Zhou, Li Li
Device fingerprints like sensor pattern noise (SPN) are widely used for provenance analysis and image authentication.
no code implementations • 5 Sep 2019 • Gary Storey, Ahmed Bouridane, Richard Jiang, Chang-Tsun Li
While facial biometrics has been widely used for identification purpose, it has recently been researched as medical biometrics for a range of diseases.
no code implementations • 31 May 2019 • Gary Storey, Richard Jiang, Shelagh Keogh, Ahmed Bouridane, Chang-Tsun Li
The capability to perform facial analysis from video sequences has significant potential to positively impact in many areas of life.
no code implementations • 11 Dec 2018 • Yihan Guo, Shan Lin, Xiao Ma, Jay Bal, Chang-Tsun Li
Most existing real estate appraisal methods focus on building accuracy and reliable models from a given dataset but pay little attention to the extensibility of their trained model.
no code implementations • 27 Jul 2018 • Haoyi Wang, Xingjie Wei, Victor Sanchez, Chang-Tsun Li
Convolutional Neural Networks (CNN) have been applied to age-related research as the core framework.
no code implementations • 4 Jul 2018 • Shan Lin, Haoliang Li, Chang-Tsun Li, Alex ChiChung Kot
Most existing person re-identification (Re-ID) approaches follow a supervised learning framework, in which a large number of labelled matching pairs are required for training.