no code implementations • 24 Nov 2022 • Ali Sekhavati, Won-Sook Lee
However, most Siamese Network based trackers use the first frame as the ground truth of an object and fail when target appearance changes significantly in next frames.
no code implementations • 22 Sep 2020 • Md. Aminur Rab Ratul, Maryam Tavakol Elahi, M. Hamed Mozaffari, Won-Sook Lee
In this study, we have presented a new deep convolutional neural network (DCNN), namely PS8-Net, to enhance the accuracy of eight-class PSS prediction.
no code implementations • 16 Mar 2020 • M. Hamed Mozaffari, Won-Sook Lee
This paper presents a new novel approach of automatic and real-time tongue contour tracking using deep neural networks.
no code implementations • 11 Feb 2020 • Jiawei Li, Jae Chul Koh, Won-Sook Lee
We combine the idea of ACAI and GANs, and propose a novel idea of alternative supervision method by applying supervised and unsupervised training alternatively to raise the accuracy of human organ structures in CT while keeping high quality.
no code implementations • 22 Nov 2019 • M. Hamed Mozaffari, Won-Sook Lee
The result was asserted that visualizing the articulator's system as biofeedback to language learners will significantly improve articulation learning efficiency.
no code implementations • 10 Nov 2019 • M. Hamed Mozaffari, Md. Aminur Rab Ratul, Won-Sook Lee
The progress of deep convolutional neural networks has been successfully exploited in various real-time computer vision tasks such as image classification and segmentation.
no code implementations • 10 Jun 2019 • M. Hamed Mozaffari, Won-Sook Lee
Domain adaptation is an alternative solution for this difficulty by transferring the weights from the model trained on a large annotated legacy dataset to a new model for adapting on another different dataset using fine-tuning.
no code implementations • 10 Jun 2019 • M. Hamed Mozaffari, Won-Sook Lee
Employing the power of state-of-the-art deep neural network models and training techniques, it is feasible to implement new fully-automatic, accurate, and robust segmentation methods with the capability of real-time performance, applicable for tracking of the tongue contours during the speech.
no code implementations • 29 Nov 2016 • Mohammad Hamed Mozaffari, Won-Sook Lee
Three-dimensional Ultrasound image segmentation methods are surveyed in this paper.
no code implementations • 4 Jul 2016 • Kaveh Hassani, Won-Sook Lee
In this paper, a novel and generic multi-objective design paradigm is proposed which utilizes quantum-behaved PSO(QPSO) for deciding the optimal configuration of the LQR controller for a given problem considering a set of competing objectives.
no code implementations • 3 Jul 2016 • Kaveh Hassani, Won-Sook Lee
A natural language interface exploits the conceptual simplicity and naturalness of the language to create a high-level user-friendly communication channel between humans and machines.
no code implementations • 16 May 2016 • Mohammad Hamed Mozaffari, Won-Sook Lee
This paper proposes a new image thresholding segmentation approach using the heuristic method, Convergent Heterogeneous Particle Swarm Optimization algorithm.