Search Results for author: Won-Sook Lee

Found 12 papers, 0 papers with code

Multi-Template Temporal Siamese Network for Long-Term Object Tracking

no code implementations24 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.

Visual Object Tracking

PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure

no code implementations22 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.

Protein Secondary Structure Prediction

HRINet: Alternative Supervision Network for High-resolution CT image Interpolation

no code implementations11 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.

3D Reconstruction Vocal Bursts Intensity Prediction

Real-time Ultrasound-enhanced Multimodal Imaging of Tongue using 3D Printable Stabilizer System: A Deep Learning Approach

no code implementations22 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.

IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision

no code implementations10 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.

Image Classification

Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains

no code implementations10 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.

Domain Adaptation Transfer Learning

BowNet: Dilated Convolution Neural Network for Ultrasound Tongue Contour Extraction

no code implementations10 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.

3D Ultrasound image segmentation: A Survey

no code implementations29 Nov 2016 Mohammad Hamed Mozaffari, Won-Sook Lee

Three-dimensional Ultrasound image segmentation methods are surveyed in this paper.

Image Segmentation Segmentation +1

Multi-Objective Design of State Feedback Controllers Using Reinforced Quantum-Behaved Particle Swarm Optimization

no code implementations4 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.

Visualizing Natural Language Descriptions: A Survey

no code implementations3 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.

Multilevel Thresholding Segmentation of T2 weighted Brain MRI images using Convergent Heterogeneous Particle Swarm Optimization

no code implementations16 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.

Segmentation

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