• C. Y. Choi and S.-W. Lee, "TECD: Combined Transform and Convolutional Neural Network for Polyp Segmentation," Proc. of 2023 KING Spring Conference, Changwon, Korea, June 2023, pp. 169-171.

    One of the best presenters

  • Y. Y. Jang, S. H. Kim, and S.-W. Lee, "OpenPose Joint Angle-Based Motion Similarity Calculation," Proc. of 2023 KING Spring Conference, Changwon, Korea, June 2023, pp. 172-174.

  • A. Abrar and S.-W. Lee, "Comparing Swin and ResNet model in Determining Chest Pneumonia," Proc. of 2023 KING Spring Conference, Changwon, Korea, June 2023, pp. 138-140.

    One of the best presenters

  • J. S. Tak and S.-W. Lee, "Noise-Augmented Object Detection: Improving Object Detection Accuracy in Noisy Image," Proc. of 2023 KING Spring Conference, Changwon, Korea, June 2023, pp. 141-144.

    One of the best presenters

  • Y. Noh, W. Noh, and S.-W. Lee, "Hierarchical 3D Attention U-Net For Improving Brain-Tumor Segmentatio, " Proc. of 2022 KAIC, Jeju, Korea, 2022.

    One of the best paper

  • Z. Tissir and S.-W. Lee, "Exploring the potential of CycleGAN for synthesizing colorectal diseases images, " Proc. of 2022 KING Spring Conference, Jeju, Korea, May 2022 pp. 146-149.

  • R. Baidya and S.-W. Lee, "Weakly Stationarizing the Input Time Series for Improving the Multivariate Time Series Forecast," Proc. of 2022 KING Spring Conference, Jeju, Korea, May 2022, pp. 165-168.

    One of the best paper

  • A. Adhikari and S.-W. Lee, "Review of Super-Resolution Techniques in Deep Learning," Proc. of 2022 KING Spring Conference, Jeju, Korea, May 2022 pp. 367-370.

  • R. Ghimire and S.-W. Lee, "Comparison of Distance-Based Metric Losses for Medical Image Classification," Proc. of 2021 KCC, Jeju, Korea, June 2021, pp. 657-658.

  • R. Baidya and S.-W. Lee, "Tracking of Golf Ball using TrackNetV2," Proc. of 2021 KCC, Jeju, Korea, June 2021, pp. 659-660.

  • N. Aryal and S.-W. Lee, "Comparison of U-net and Convolutional Recurrent Network for Speech Enhancement," Proc. of 2021 KICS Summer Conference, Jeju, Korea, June 2021, pp. 530-531.

  • R. Ghimire, S. Poudel, and S.-W. Lee, "Transformer-based Network for Automatic Polyp Segmentation," Proc. of 2021 KING Summer Conference, Gwangju, Korea, May 2021, pp. 259-261.

  • R. Baidya, H.-C. Park, Z. Tissir and S.-W. Lee, "Tracking The Trajectory of a Golf Ball based on Image Processing and Deep Learning," Proc. of 2021 KING Summer Conference, Gwangju, Korea, May 2021, pp. 293-295.

  • N. Aryal, S.-H Park, S.-Y Ahn and S.-W. Lee, "Comparison of STDCT and STFT for Speech Enhancement," Proc. of 2021 KING Summer Conference, Gwangju, Korea, May 2021, pp. 322-323.

  • S.-Y. Ahn and S.-W. Lee, "Adaptation of 3D-ConvNet in Feline Action Recognition," Proc. of 2020 KING Summer Conference, Jeju, Korea, August 2020, pp. 302-304.

  • N. Aryal and S.-W. Lee, "Comparison of Deep Networks for Acoustic Scene Classification," Proc. of 2020 KING Summer Conference, Jeju, Korea, August 2020, pp. 286-287.

  • S. Poudel, N. Aryal, S.-Y. Ahn, and S.-W. Lee, "Deep Supervised Encoder-Decoder Network for Medical Image Segmentation," Proc. of 2020 KING Summer Conference, Jeju, Korea, August 2020, pp. 96-99.

  • N. Aryal and S.-W. Lee, "Comparative Evaluation of Time-Frequency Representation of Acoustic Scene Classification," Proc. of 2020 KISM Spring Conference, Gwangju, Korea, May 2020, pp. 168-171.

  • S. Poudel and S.-W. Lee, "Deep Network for Image Segmentation based on Multi-scale Attention," Proc. of 2020 KISM Spring Conference, Gwangju, Korea, May 2020, pp. 163-164.

    One of the best paper

  • S. Poudel and S.-W. Lee, "Colorectal Image Classification using Multi-Convolutional Neural Network," Proc. of 2019 KING Summer Conference, Jeju, Korea, May 2019, pp. 18-20S. Poudel and S.-W. Lee, "Colorectal Image Classification using Multi-Convolutional Neural Network," Proc. of 2019 KING Summer Conference, Jeju, Korea, May 2019, pp. 18-20.

    The best paper

  • J.-K. Choi and S.-W. Lee, "FastText Word Embedding with Idf-weighted Subword Information," Proc. of 2019 KING Summer Conference, Jeju, Korea, May 2019, pp. 39-43.

  • S.-W. Kim, C. Henry, H.-C. Park, and S.-W. Lee, "Obejct Segmentation Using Multiscale Convolution Neural Network and Auto Trimap Generation," Proc. of 2019 KING Summer Conference, Jeju, Korea, May 2019, pp. 142-143.

  • N.-Q. Nguyen and S.-W. Lee, "Polyp Segmentation Using a Multi-model Deep Encoder-Decoder Network," Proc. of 2019 KING Summer Conference, Jeju, Korea, May 2019, pp. 146-148.

  • S.-W. Kim, H.-C. Park, S.-W. Lee, and B. M. Lee, "Korean Vehicle License Plate Recognition System based on YOLO," Proc. of 2018 KMMS Fall Conference, Gwangju, Korea, November 2018.

  • N. N. Quang, N. Sherzod, P. Sahadev, and S.-W. Lee, "Robust Real-time Face Recognition in Uncontrolled Environment using Soft-max Function," Proc. of 2018 KING Summer Conference, Jeju, Korea, May 2018, pp. 113-116.

  • C. Henry, H.-C. Park, S.-W Kim, and S.-W. Lee, "Photovoltaic Module Detection using Probabilistic Hough Transform," Proc. of 2018 KING Summer Conference, Jeju, Korea, May 2018, pp. 286-289.

  • C. Henry and S.-W. Lee, "A Survey on Automatic Natural Image Matting algorithms," Proc. of KCC2017, Jeju, Korea, June 2017, pp. 1372-1374.

  • R. K. Lama, H.-C. Park, and S.-W. Lee, "Selected Feature based Diagnosis of Alzheimer’s Disease using Regularized Extreme Learning Machine," Proc. of 2017 KING Summer Conference, Jeju, Korea, June 2017, pp. 33-36.

  • V.-D. My and S.-W. Lee, "Robust Face Recognition using Light Local Ternary Patterns with Hierarchical Collaborative Representation based Classification," Proc. of 2017 KMMS Spring Conference, Daejeon, Korea, Vol. 20, No. 1, May 2017, pp. 96-100.

  • R. K. Lama, H.-C. Park, and S.-W. Lee, "Sparse Feature Selection using Import Vector Machines for Classification of Alzheimer's Disease," Proc. of 2016 KING Fall Conference, Seoul, Korea, October 2016.

  • H.-C. Park and S.-W. Lee, "Paint Color Recognition Using a Neural Network," Proc. of 2016 KISM Fall Conference, Gwangju, Korea, October 2016(in Korean).

  • R. K. Lama and S.-W. Lee, "Classification of Alzheimer's Disease Using Import Vector Machine," Proc. of Intelligent Brain 2016, Ilsan, Korea, September 2016, pp. 206.

  • J. Gwak, J.-I. Song, and S.-W. Lee, "Adaptive Multi-kernel Boosting Approach for Classification of Alzheimer's Disease," Proc. of Intelligent Brain 2016, Ilsan, Korea, September 2016, pp. 208.

  • A. Mallak and S.-W. Lee, "Effect of SOM as a Feature Selection Method for Alzheimer's Disease Classification," Proc. of 2016 KING Spring Conference, Gwangju, Korea, May 2016, pp. 23-26.

  • A. Mallak and S.-W. Lee, "Effect of PCA on SVM classfier and k-means Clustering for Alzheimer's Disease Diagnosis," Proc. of 2015 KING Fall Conference, Daejeon, Korea, November 2015, pp. 68-71.

  • H.J. Lee, S. A. Yoo, H.C. Park, and S.-W. Lee, "Word Search System Using the Character Recognition," Proc. of 2015 KISM Fall Conference, Gwangju, Korea, October 2015, pp. 158-159(in Korean).

  • D.-H. Lee, Y.-Y. Choi, K.-H. Lee, S.-W. Lee, and G.-R. Kwon, "A Study on the Reproducibility of the Hippocampal Volume Measured using 1.5T and 3T Magnetic Resonance Imaging," Proc. of 2015 KISM Fall Conference, Gwangju, Korea, October 2015, pp. 63-64 (in Korean).

  • J.-M. Go and S.-W. Lee, "Linear Analysis Methods for Specific Nonlinear Big-data Processing," Proc. of 2015 KISM Fall Conference, Gwangju, Korea, October 2015, pp. 215-217 (in Korean).

  • J. Gwak, M. Kang, G.-R. Kwon, J.-I. Song, W. K. Song, J.-M. Lee, H. S. Park, and S.-W. Lee, "Integrative Technology for Big Data Analysis and Medical Service Platform to Establish AD Diagnosis and Prediction," Brain Conference; Joint Conferenc of KSBNS and KSND, Daegu, Korea, September 2015.

  • J.-M. Go and S.-W. Lee, "Early Diagnosis of Dementia based on Artificial Neural Network," Proc. of 2015 KCC Conference, Jeju, Korea, June 2015, pp. 1437-1438(in Korean).

  • H.-C. Park and S.-W. Lee, "Pupil and Iris Segmentations based on Intensity Differentiation in a Polar Coordination," Proc. of 2015 KICS Spring Conference, Gwangju, Korea, June 2015, pp. 72-73(in Korean).

  • H.-C. Park, J.-M. Go, and S.-W. Lee, "Analysis of Image Processing Techniques for Iris Recognition," Proc. of 2015 KMMS Spring Conference, Andong, Korea, May 2015, pp. 798-799(in Korean).

  • A. Mallak and S.-W. Lee, "Computational Approaches on Alzheimer's Dementia," Proc. of KISM Spring Conference, Seoul, Korea, April 2015, pp. 167-169.

  • A. Tedjokusumo and S.-W. Lee, "Prediction of Alzheimer's Disease Based on Personal Genes and Cortical Thickness," Proc. of KING Workshop on Personal Computing, Jeju, Korea, February 2014, pp. 63-67.

  • R. Sidra and S.-W. Lee, "A Segmentation Improvement By Parameter-Free Spectral Matting in Landscape Photograph," Proc. of KIISE Spring Conference, Yeosoo, Korea, June 2013, pp. 82-54.

  • R. Sidra and S.-W. Lee, "An Efficient Opacity Parameter Estimation Scheme for Improved Spectral Matting," Proc. of KISM Spring Conference, Sunchon, Korea, May 2013, pp. 358-360.

  • M. N. I. Qureshi and S.-W. Lee, "RGB-D Fusion Based on Facial Normal Vectors," Proc. of 2013 KMMS Spring Conference, Daejon, Korea, May 2013, pp. 31-34.

  • M. N. I. Qureshi and S.-W. Lee, "Face Recognition Using Both RGB and Depth Information from Kinect Sensor," Proc. of 2012 KOCTA Fall Conference, Seoul, Korea, November 2012, pp. 93-94.

  • R. Sidra and S.-W. Lee, "ROI-RT: Implementation of Rule-of-Thirds in Macro Photography," Proc. of KMMS Fall Conference, Seoul, Korea, Vol. 15, No. 2, November 2012, pp. 186-.

  • M. N. I. Qureshi, J.-T. Kim, and S.-W. Lee, "A Study on Preventing from a forgery of Personal Identification Using Kinoform and Phase-key," Proc. of The Korean Physical Society Fall Conference, Phoenix Park, Kangwon-do, Korea, Octorber 2012.

  • R. Sidra and S.-W. Lee, "Faster Fingerprint Matching Algorithm Using GPU," Proc. of KMMS Spring Conference, Mokpo, Korea, Vol. 15, No. 1, April 2012, pp. 43-45.

  • I. Pavlo, K. Alexander, S.-W. Lee, and J.-T. Kim, "Pattern Recognition Using Kinoform and Spatial Light Modulator," Proc. of The Korean Physical Society Fall Conference, Daejeon, Korea, Octorber 2012.

  • S. Naveed and S.-W. Lee, "Reflection Removal in Stereo Vision Under Night Illumination," Proc. of KMMS Spring Conference, Mokpo, Korea, Vol. 15, No. 1, April 2012, pp. 26-27.

  • R. Sidra and S.-W. Lee, "High Performance Character Recognition and Reading System of Printed Documents for Visually Impaired," Proc. of KISM Spring Conference, Jeju, Korea, April 2012, pp. 72-75.

  • M. N. I. Qureshi and S.-W. Lee, "Automatic Composition Guidefor Digital Portrait Photo Capture Using Kinect," Proc. of KISM Spring Conference, Jeju, Korea, April 2012, pp. 283-285.

  • J.-G. Lee and S.-W. Lee, 밠ajor Object Detection and Composition Analysis for Closed-up Pictures," Proc. of 36th The KIPS Conference, Seoul, Korea, November 2011, pp. 442-444(in Korean).

  • W. Zhao, J.-G. Lee, and S.-W. Lee, Facial Expression and Pose Recognition Using Limited Feature Points Based on a Dynamic Bayesian Network," Proc. of KING Conference, Jeju, Korea, April 2011, pp. 107-109(in Korean).

  • K.-H. Kim and S.-W. Lee, Walking Guidance System for the Blind People," Proc. of KING Conference, Jeju, Korea, April 2011, pp. 29-31(in Korean).

  • K.-H. Kim and S.-W. Lee, Raised Block Detection System Based on Stereo Vision," Proc. of 34th The KIPS Conference, Seoul, Korea, Vol. 17, No. 2, November 2010, pp. 766-769(in Korean).

  • J.-G. Lee and S.-W. Lee, SkyLine Detection Method Using a Texture Filter and Morphology Process," Proc. of 26th The KMMS Conference, Seoul, Korea, November 2010, pp. 29-32 (in Korean).

  • S.-W. Lee, K.-H. Kim, and Y.-S. Chung, "Reconstructing Non-facial Components Using Support Vector Data Description," Proc. of 36th The KISSE Conference, Seoul, Korea, November 2009, Vol. 36, No. 2(A), pp. 224-225(in Korean).

  • S.-W. Lee, "Removing Lighting Reflection in Rainy Day or at Night Based on Stereoscopic Vision," Proc. of 35th The KISSE Conference, Seoul, Korea, Vol. 35, No. 2(A), October 2008, pp. 227-228(in Korean).

  • S.-W. Lee, J. Park, and S.-W. Lee, Synthesis of Face Exemplars based on Support Vector Data Description," Proc. of 32th The Korea Information Science Society, Seoul, Korea, November 2005(in Korean).

  • S.-H. Moon, S.-W. Lee, and S.-W. Lee, "Analysis of Lighting Variability using Linear Combination of Face Exemplars," Proc. of Domestic Workshop on Computer Vision and Pattern Recognition, Seoul, Korea, December 2004, pp. 139-141(in Korean).

  • S.-H. Moon, S.-W. Lee, and S.-W. Lee, "Illumination Invariant Face Recognition based on the Synthesized Facial Exemplars," Proc. of 31th The Korea Information Science Society, Seoul, Korea, pp. 685-687, October 2004(in Korean).

  • M.-H. Yoo, J.-S. Park, H.-D. Yang, and S.-W. Lee, The Survey: Face Recognition Technologies and Implementations,?Proc. of The Korea Statistics Society, Daejeon, May 24-25, 2002, pp. 105-112(in Korean).

  • M.-H. Yoo, J.-S. Park, Y.-A. Jung, and S.-W. Lee, real-time Face Detection and Recognition,?Proc. of Workshop on Biometrics, 2002(in Korean).

  • S.-W. Lee, H.-C. Choi, S. Kang, M.-H. Yoo, and S.-W. Lee, 밨eal-time active vision system using log-polar transformation," Proc. of The Korea Society for Cognitive Science, May 2000, pp. 25~30(in Korean).

  • S.-W. Lee, H.-C. Choi, S. Kang, and S.-W. Lee, Color-Stereo Head-eye system based on biological vision model,?Proc. of The Korea Information Science Society, Vol. 27, No. 1, Daegu, Korea, April 2000, pp. 586~588(in Korean).