Seung-Wook Kim

Seung-Wook Kim

Assistant Professor, Pukyong National University

Publications (Publication List on Google Scholar)

Journal Articles

  1. Se-ho Lee and Seung-Wook Kim*, "Dual-Branch Vision Transformer for Blind Image Quality Assessment," to appear in Journal of Visual Communication and Image Representation, 2023. (*Corresponding author)
  2. Sung-Jin Cho, Seung-Wook Kim*, Seung-Won Jung, and Sung-Jea Ko, "Blur-Robust Object Detection Using Feature-Level Deblurring via Self-Guided Knowledge Distillation," IEEE Access, 2022. (*Corresponding author)
  3. Sung-Jin Cho, Jae Ryun Chung, Seung-Wook Kim, Seung-Won Jung, and Sung-Jea Ko, "Compression Artifacts Reduction Using Fusion of Multiple Restoration Networks," IEEE Access, 2021.
  4. Seung-Wook Kim, Keun-Soo Ko, Han-Eul Ko, and Victor Leung, "Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving," IEEE Network, 2021.
  5. Fan Ming*, Seung-Wook Kim*, Sung-Tae Kim, Jee-Young Sun, and Sung-Jea Ko, "Simple but Effective Scale Estimation for Monocular Visual Odometry in Road Driving Scenarios," IEEE Access, 2020. (*Equal contribution)
  6. Seo-Won Ji, Seung-Wook Kim, Sung-Ho Chae, Dong-Pan Lim, and Sung-Jea Ko, "Quaternary Census Transform Based on the Human Visual System for Stereo Matching," IEEE Access, 2020.
  7. Cheol-Hwan Yoo, Seo-Won Ji, Yong-Goo Shin, Seung-Wook Kim, and Sung-Jea Ko, "Fast and Accurate 3D Hand Pose Estimation via Recurrent Neural Network for Capturing Hand Articulations," IEEE Access, 2020.
  8. Yoon-Jae Yeo, Yong-Goo Shin, Min-Cheol Sagong, Seung-Wook Kim, and Sung-Jea Ko, "Simple yet effective way for improving the performance of lossy image compression," to appear in IEEE Signal Processing Letters.
  9. Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Wook Kim, and Sung-Jea Ko, "PEPSI++: Fast and lightweight network for image inpainting," to appear in IEEE Transactions on Neural Networks and Learning Systems.
  10. Ming Fan, Dae-Hong Lee, Seung-Wook Kim, Seung Park, and Sung-Jea Ko, "Optimization framework for inverse tone mapping using a single low dynamic range image," Signal Processing: Image Communication, 2019.
  11. Chul-Hwan Yoo, Yong-Gu Shin, Seung-Wook Kim, and Sung-Jea Ko, "Context-aware encoding for clothing semantic parsing," Electronics Letters, 2019.
  12. Bo-Sang Kim, Jee-Young Sun, Seung-Wook Kim, Mun-Cheon Kang, and Sung-Jea Ko, "CNN-based UGS method using Cartesian-to-polar coordinate transformation," Electronics Letters, 2018.
  13. Dae-Hong Lee, Ming Fan, Seung-Wook Kim, Mun-Cheon Kang, and Sung-Jea Ko, "High dynamic range image tone mapping based on asymmetric model of retinal adaptation," Signal Processing: Image Communication, 2018.
  14. Jee-Young Sun, Seung-Wook Kim, Sang-Won Lee, and Sung-Jea Ko, "A novel contrast enhancement forensics based on convolutional neural networks," Signal Processing: Image Communication, 2018.
  15. Jee-Young Sun, Seung-Wook Kim, Sung-Ho Lee, Jae-Eun Choi, and Sung-Jea Ko, "Automatic facial pore analysis system using multi‐scale pore detection," Skin Research and Technology, 2017.
  16. Bo-Sang Kim, Kang-A Chohi, Won-Jae Park, Seung-Wook Kim, and Sung-Jea Ko, "Content-preserving video stitching method for multi-camera systems," IEEE Transactions on Consumer Electronics, 2017.
  17. Cheol-Hwan Yoo, Seung-Wook Kim, June-Young Jung, and Sung-Jea Ko, "High-dimensional feature extraction using bit-plane decomposition of local binary patterns for robust face recognition," Journal of Visual Communication and Image Representation, 2017.
  18. Young-Hyun Kim, Hoon Kim, Seung-Wook Kim, Hyo-Young Kim, and Sung-Jea Ko, "Illumination normalisation using convolutional neural network with application to face recognition," Electronics Letters, 2017.
  19. June-Young Jung, Seung-Wook Kim, Seung Park, Byeong-Doo Choi, and Sung-Jea Ko, "Camera-Based Color Calibration Method for Multiple Flat-Panel Displays Using Smartphone," Journal of Display Technology, 2016.
  20. June-Young Jung, Seung-Wook Kim, Cheol-Hwan Yoo, Won-Jae Park, and Sung-Jea Ko, "LBP-ferns-based feature extraction for robust facial recognition," IEEE Transactions on Consumer Electronics, 2016.
  21. Seung-Wook Kim, June-Young Jung, Cheol-Hwan Yoo, and Sung-Jea Ko, "Retinex-based illumination normalization using class-based illumination subspace for robust face recognition," Signal Processing, 2016.
  22. Seung-Wook Kim, Byeong-Doo Choi, Won-Jae Park, and Sung-Jea Ko, "2D histogram equalisation based on the human visual system," Electronics Letters, 2016.
  23. Chunfei Ma, June-Young Jung, Seung-Wook Kim, and Sung-Jea Ko, "Random projection-based partial feature extraction for robust face recognition," Neurocomputing, 2015.
  24. Lei Lei, Seung-wook Kim, Won-jae Park, Dae-hwan Kim, and Sung-jea Ko, "Eigen directional bit-planes for robust face recognition," IEEE transactions on Consumer Electronics, 2014.

Conference Papers

  1. Seo-Won Ji*, Jeong-Min Lee*, Seung-Wook Kim*, Jun-Pyo Hong, Seung-Jin Baek, Seung-Won Jung, and Sung-Jea Ko, "XYDeblur: Divide and Conquer for Single Image Deblurring ," CVPR 2022, New Orleans, USA, 2022. (*Equal contribution)
  2. Sung-Jin Cho, Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, and Sung-Jea Koo, "Parallel Feature Pyramid Network for Image Denoising," ICCE 2020, Las Vegas, USA, 2020.
  3. Min-Cheol Sagong, Yong-Goo Shin, Seung-Wook Kim, Seung Park, and Sung-Jea Ko, "PEPSI: Fast image inpainting with parallel decoding network," CVPR 2019, Long Beach, USA, 2019.
  4. Sung-Jin Cho, Seung-Wook Kim, Kwang-Hyun Uhm, Hyong-Keun Kook, and Sung-Jea Ko, "Learning an object detector using zoomed object regions," ICEIC 2019, Auckland, New Zealand, 2019.
  5. Seung-Wook Kim, Hyong-Keun Kook, Jee-Young Sun, Mun-Cheon Kang, and Sung-Jea Ko, "Parallel feature pyramid network for object detection," ECCV 2018, Munich, Germany, 2018.
  6. Sung-Jin Cho, Seung-Wook Kim, Jee-Young Sun, Kwang-Hyun Uhm, and Sung-Jea Ko, "Bi-Directional feature pyramid network for object detection," ITC-CSCC 2018, Bangkok, Thailand, 2018.
  7. Jee-Young Sun, Sang-Won Lee, Mun-Cheon Kang, Seung-Wook Kim, and Sung-Jea Ko, "A novel gastric ulcer differentiation system using convolutional neural networks," IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS) 2018, Karlstad, Sweden, 2018.
  8. Hyong-Keun Kook, Seung-Wook Kim, Sang-Won Lee, Young-Hyun Kim, and Sung-Jea Ko, "Object detection with multi-scale context aggregation," ICEIC 2018, Hawaii, USA, 2018.
  9. Seung-Wook Kim, Hyong-Keun Kook, Young-Hyun Kim, Jee-Young Sun, and Sung-Jea Ko, "Single shot object detection using spatial pyramid pooling," ICEIC 2018, Hawaii, USA, 2018.
  10. Joon-Yeon Kim, Seung-Wook Kim, Hyo-Young Kim, Won-Jae Park, and Sung-Jea Ko, "Improved pedestrian detection using joint aggregated channel features," ICEIC 2016, Da Nang, Vietnam, 2016.
  11. Ming Fan, June-Woo Yun, Keun-Young Byun, Seung-Wook Kim, and Sung-Jea Ko, "Automatic color calibration method for multiple display system using smart phone," ICGHIT 2015, Da Nang, Vietnam, 2015.
  12. Seung-Wook Kim, June-Young Jung, Seung Park, and Sung-Jea Ko, "Enhanced illumination normalization for LBP-based face recognition," ICEIC 2014, Kota Kinabalu, Malaysia, 2014.
  13. Seung-Wook Kim, June-Young Jung, Seung-Jun Lee, Aldo W. Morales, and Sung-Jea Ko, "Sensor fusion-based people counting system using the active appearance models," ICCE 2013, Las Vegas, USA, 2013.

Workshop Papers

  1. Ignatov et al., "AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results," ICCVW 2019, Seoul, Korea, 2019.
  2. Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, and Sung-Jea Ko, "W-Net: Two-Stage U-Net With Misaligned Data for Raw-to-RGB Mapping," ICCVW 2019, Seoul, Korea, 2019.
  3. Jee-Young Sun, Seung-Wook Kim, Sang-Won Lee, Ye-Won Kim, and Sung-Jea Ko, "Reverse and Boundary Attention Network for Road Segmentations," ICCVW 2019, Seoul, Korea, 2019.
  4. Seung-Wook Kim, Sung-Jin Cho, Kwang-Hyun Uhm, Seo-Won Ji, Sang-Won Lee, and Sung-Jea Ko, "Evaluating parameterization methods for convolutional neural network (CNN)-based image operators," CVPRW 2019, Long Beach, USA, 2019.
  5. Abdelhamed et al., "NTIRE 2019 challenge on real image denoising: Methods and results," CVPRW 2019, Long Beach, USA, 2019.

Domestic Papers

  1. 김승욱, 김준연, 선지영, 고성제, "보행자 검출기의 성능 향상을 위한 인지시각 시스템의 특성에 기반한 특징 추출 기법," 대한전자공학회 추계학술대회 논문집, 2016.
  2. 김승욱, 김준연, 김효영, 박원재, 고성제, "ACF 기반의 보행자 검출을 위한 대조비 향상 기법," 대한전자공학회 추계학술대회 논문집, 2015.
  3. 김준연, 김승욱, 김효영, 박원재, 고성제, "ACF 기반 보행자 검출기 성능 향상을 위한 특징 결합 기법," 대한전자공학회 추계학술대회 논문집, 2015.
  4. 지서원, 강석재, 김승욱, 김채성, 고성제, "손실된 동적 영역을 고려한 개선된 가중치 맵 기반의 다중 노출 영상 합성 방법," 대한전자공학회 하계학술대회 논문집, 2015.