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International Conference

 

2024


  1. Person in Place: Generating Associative Skeleton-Guidance Maps for Human-Object Interaction Image Editing
C. H. Yang*, C. H. Kang*, K. Kong*, H. Oh, and S.-J. Kang, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun.2024.
ACK: IITP-2024-RS-2023-00260091, 2021R1I1A1A01051225

2. MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation (View)

B. W. Kang*, S. H. Moon*, Y. B. Cho*, H. W. Yu*, and S.-J. Kang, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jun. 2024.
ACK: IO201218-08232-01, IITP-2023-RS-2023-00260091

3. Human Motion Aware Text-to-Video Generation with Explicit Camera Control (Project Page)

T. H. Kim*, C. H. Kang*, J. H. Park*, D. Jeong*, C. H. Yang*, and S.-J. Kang, K. Kong, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jun. 2024.
ACK: 2021M3H2A1038042, 1711198586

4. Motion Mask-driven Improvements in Monocular Dynamic Novel View Synthesis

Yeom S, Son H, Kang C, Kim J, Yun KJ, Cheong WS, Kang SJ., International Conference on Electronics, Information, and Communication (ICEIC), Jan. 2024.
ACK: IITP-2023-RS-2023-00260091, 2022-0-00022

5. CNN-based Encoder and Transformer-based Decoder for Efficient Semantic Segmentation

S. H. Moon, and S.-J. Kang International Conference on Electronics, Information, and Communication (ICEIC), Jan. 2024.
ACK: IITP-2023-RS-2023-00260091, IO201218-08232-01

6. Viewing Angle-aware Color and Luminance Distortion Compensation for Automotive OLED Displays

J. Pak, J. M. Choi, S. C. Pang, D. G. Kim, K. Kong, and S.-J. Kang, SID Symposium Digest of Technical Papers, May. 2024.

7. Simultaneous Optimization of Luminance and Color: A Novel Dimming Algorithm Utilizing Power-law Mapping

N. R. Kim, S.-J. Kang, SID Symposium Digest of Technical Papers, May. 2024.

8. Adaptive Local Backlight Dimming Control with Local Boosting

J.-C. Cho, J.-S. Yoo, J.-Y. Park, J.-W. Park, S.-J. Kang, SID Symposium Digest of Technical Papers, May. 2024.

9. Dual Stocker Scheduling Optimization based on Reinforcement Learning

S. W. Ahn, J. K. Kim, J.-J. Hong, S.-G Kim and S.-J. Kang, International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jul. 2024.
ACK: IITP-2024-RS-2023-00260091, 2021M3H2A1038042, LG Display

2023


 

  1. Deep Learning-based Image Deblurring for Display Vision Inspection
S. J. MIN, K. Kong, and S.-J. Kang. Society for Information Display’s Display Week, May. 2023.
ACK: 2021R1A2C1004208, 2021M3H2A1038042

2. A Novel Framework for Generating In-the-Wild 3D Hand Datasets (View)

J. H. Park*, K. Kong*, and S.-J. Kang, 7th ICCV workshop on Observing and Understanding Hands in Action (HANDS), Oct. 2023.
ACK: 2021R1A2C1004208, IITP-2023-RS-2023-00260091

 

3. SEFD : Learning to Distill Complex Pose and Occlusion (View) (Project Page)

C. H. Yang*, K. Kong*, S. J. Min*, G. Cha, H. D. Jang, D. Wee, and S.-J. Kang, International Conference on Computer Vision (ICCV), Oct. 2023.
ACK: 2021R1A2C1004208, IITP-2023-RS-2023-00260091

 

4. Diffusion-Based Image Generation for Display Defect Detection

C. H. Lee*, J. K. Kim*, and S.-J. Kang, The 23rd International Meeting on Information Display (IMID), Aug. 2023.
ACK: 2021R1A2C1004208, 2020M3H4A1A02084899

 

5. Remaining Useful Life Prediction through Meaningful Feature Extraction Using SHAP

Y. I. Park, and S.-J. Kang, The 23rd International Meeting on Information Display (IMID), Aug. 2023.
ACK: 2021R1A2C1004208

 

6. Speech and Text-based Motion Generation and Matching System (View)

J. H. Shin, J. H. Park, and S.-J. Kang, International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jun. 25-28, 2023.
ACK: 2021R1A2C1004208

 

7. Optimization of Video Repetitive Action Counting for Efficient Inference on Edge Devices (View)

H. Yu, Y. B. Cho, and S.-J. Kang, International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jun. 25-28, 2023.
ACK: 2021R1A2C1004208, 2021M3H2A1038042, IO201218-08232-01

 

8. FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation (View)

J. H. Shim, H. Yu, K. Kong, and S.-J. Kang, Association for the Advancement of Artificial Intelligence (AAAI), Feb. 7-14, 2023.
ACK: 2021R1A2C1004208, 2021M3H2A1038042, IO201218-08232-01

 

9. InvHDR: Inverse Tone Mapping With Invertible Neural Network (View)

J. K. Kim, and S.-J. Kang, International Conference on Electronics, Information, and Communication (ICEIC), Feb. 5-8, 2023.
ACK: P0020535. 2021M3H2A1038042

 

10. Multi-view stereo with recurrent neural networks for spatio-temporal consistent depth maps (View)

H. S. Son, and S.-J. Kang, International Conference on Electronics, Information, and Communication (ICEIC), Feb. 5-8, 2023.
ACK: 2021R1A2C1004208, 2021M3H2A1038042

 

11. Whole-body Human Mesh Reconstruction with Transformer (View)

J. H. Park, and S.-J. Kang, International Conference on Electronics, Information, and Communication (ICEIC), Feb. 5-8, 2023
ACK: 2021R1A2C1004208, 2021M3H2A1038042

 

12. An Unified Framework for Language Guided Image Completion (View)

J. H. Kim*,  S. H. Jeong*,  K. Kong*, and S.-J. Kang, IEEE Winter Conference on Applications of Computer Vision (WACV), Jan. 3-7, 2023.
ACK: 2021R1A2C1004208

 

 

 

2022

 


  1. Performance Comparison of Soiling Detection Using Anomaly Detection Methodology (View)
J. H. Lee, C. R. Jeon, S. J, Kang, International SoC Design Conference (ISOCC), Gangneung, Korea, Oct. 2022
ACK: P0020535

 

2. MosaicMVS: Mosaic-based omnidirectional depth estimation for view synthesis (View)

M. J. Shin*, M. J. Cho*, W. J. Park, K. Kong, J. S. Kim, K. J. Yun,  G. S. Lee and S.-J. Kang, The 4th ECCV Workshop on Learning to Generate 3D Shapes and Scenes, Oct. 2022.
ACK: 2022-0-00022, 2021R1A2C1004208

 

3. Anomaly Segmentation Using Class-aware Erosion and Smoothing (View)

B. W. Kang, J. H. Kwak, and S.-J. Kang, The 7th International Conference On Consumer Electronics (ICCE) Asia,  Oct. 2022.
ACK: 22PQWO-C153369-04, 2021M3H2A1038042

 

4. Deep Learning-based Data Augmentation for Display Defect Detection

[Invited Talk] C. H. Lee, J. K. Kim, and S.-J. Kang, The 29th International Display Workshops (IDW), Fukuoka, Japan, Dec. 2022.
ACK: 2021M3H2A1038042, 22PQWO-C153369-04

 

5. Selective TransHDR: Transformer-based selective HDR Imaging using Ghost Region Mask (View)

J. W. Song*, Y. I. Park*, K. Kong, J. H. Kwak, and S.-J. Kang, Proceedings of the European Conference on Computer Vision (ECCV). Oct. 2022.
ACK: 2021R1A2C1004208

 

6. NTIRE 2022 Burst Super-Resolution Challenge (View)

Y. C. Nam*, Y. S. Jo* and S.-J. Kang, CVPR 2022 Workshop on New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing, Jun. 2022.

 

7. Deep Anti-Aliasing: Image Restoration for Enhancing Display Defects Detection

[Invited Talk] S. J. Min, K. Kong, and S.-J. Kang,The 22nd International Meeting on Information Display (IMID), Aug. 2022.
ACK: 2021R1A2C1004208, 2020M3H4A1A02084899, 2021M3H2A1038042

 

8. Burst Super Resolution Using Enhanced Residual Deformable Alignment and MAP estimation for Display Resolution Enhancement (View)

Y. C. Nam*, Y. S. Jo*, and S.-J. Kang, The 22nd International Meeting on Information Display (IMID), Aug. 2022.
ACK: 2020M3H4A1A02084899, 2021M3H2A1038042, 22PQWO-C153369-04

 

9. Stretch-aware Luminance Compensation for Stretchable Displays

S. H. Jung*, J. H. Kim* and S.-J. Kang, The 22nd International Meeting on Information Display (IMID), Aug. 2022.
ACK: 2021R1A2C1004208, 2020M3H4A1A02084899

 

10. Brightness Compensation of Outpainted Image for Stretchable Display

J. H. Kim*, and S.-J. Kang, The 22nd International Meeting on Information Display (IMID), Aug. 2022.

 

11. Semi-supervised Anomaly Detection with Reinforcement Learning (View)

C. H. Lee*, J. K. Kim* and S.-J. Kang, The 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jul. 2022.
ACK: 22PQWO-C153369-04, 2021R1A2C1004208,2021-0-02308

 

12. Class Attention Transfer for Semantic Segmentation (View)

Y. B. Cho* and S.-J. Kang, IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Jun. 2022
ACK: IITP-2021-2018-0-01421, 2021R1A2C1004208

 

13. Deep Learning-based Real-time Segmentation for Edge Computing Devices (View)

J. H. Kwak*, H. Yu*, Y. B. Cho* and S.-J. Kang, IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Jun. 2022.
ACK: IITP-2020-2018-0-01421

 

14. Deep Learning-Based Image Enhancement for HDR Imaging (View)

[Invited Talk] Y. I. Park, J. W. Song and S.-J. Kang, The SID International Symposium, Seminar, and Exhibition, San Jose, USA, May. 2022.
ACK: 2021R1A2C1004208, 2020M3H4A1A02084899

 

15. Vision Transformer-based Retina Vessel Segmentation With Deep Adaptive Gamma Correction (View)

H. Yu*, J. H. Shim*, J. H. Kwak*, J. W. Song* and S.-J. Kang, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May. 2022.
ACK: 2021R1A2C1004208, IITP-2021-2018-0-01421

 

16. Integrated In-vehicle Monitoring System Using 3D Human Pose Estimation and Seat Belt Segmentation (View)

G. Kim*, H. Kim*, K. Kim, S. S. Cho, Y. H. Park and S.-J. Kang, AAAI 2022 Workshop on AI for Transportation, Vancouver, British Columbia, Canada, Feb. 2022.
ACK: 2022-0-00022, 2021R1A2C1004208

 

17. Parallel Attention Network using Vector with High Correlation with Label for Remaining Useful Life Estimation (View)

Y. I. Park, J. W. Song and S.-J. Kang, AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), Vancouver, British Columbia, Canada, Feb. 2022.
ACK: IITP-2021-2018-0-01421, 2021R1A2C1004208

18. AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning (View)

J. W. Song*, K. Kong*, Y. I. Park, S. G. Kim and S.-J. Kang, AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), Vancouver, British Columbia, Canada, Feb. 2022.
ACK: IITP-2021-2018-0-01421, 2021R1A2C1004208

 

19. Image-Adaptive Hint Generation via Vision Transformer for Outpainting (View)

D. H. Kong*, K. Kong*, K. H. Kim*, S. J. Min* and S.-J. Kang, IEEE Winter Conference on Applications of Computer Vision (WACV), Jan. 2022.
ACK: 2020M3H4A1A02084899, 2021R1A2C1004208, 2020M3C1B8081320

 

 

 

 2021


  1. S. J. Min and S.-J. Kang, “Edge Map-guided Scale-iterative Image Deblurring”, 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Dec. 2021. (View)
  2. [Invited Talk] J. H. Kim and S.-J. Kang, “Deep Learning-based Image Restoration Algorithms in Display Devices”,  The 28th International Display Workshops (IDW), Online, Japan, Dec. 2021. (View)
  3. J. H. Shim*, K. Kong*, and S.-J. Kang, “Core-set Sampling for Efficient Neural Architecture Search”, 38th International Conference on Machine Learning Workshop (ICMLW), Jul. 2021. (View(Spotlight)
  4. K. Kong*, K. H. Kim*, W. J. Song, and S.-J. Kang, “Selective Focusing Learning in Conditional GANs”, 38th International Conference on Machine Learning Workshop (ICMLW), Jul. 2021. (View(Spotlight)
  5. [Invited Talk] J. H. Shim and S.-J. Kang, “Design Automation of Efficient Deep Neural Networks in Display Devices”,  International Meeting on Information Display (IMID), Seoul, Korea, Aug. 2021.
  6. J. Lee and S.-J. Kang, “Skeleton action recognition using Two-Stream Adaptive Graph Convolutional Networks”, The 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jun. 2021. (View)
  7. M. J. Shin, W. J. Park, J. S. Kim, K. G. Yun, W. S. Cheong and S.-J. Kang, “Understanding the Limitations of SfM-Based Camera Calibration on Multi-View Stereo Reconstruction”, The 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jun. 2021. (View)
  8. J. H. Kwak and S.-J. Kang, “Vehicle Tracking for Robust Vehicle Detection”, The 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jun. 2021.
  9. D. H. Kong, and S.-J. Kang, “Downsizing Heatmap Resolution for real-time 3D Human Pose Estimation”, The 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jun. 2021. (View)
  10. J. H. Shim, and S.-J. Kang, “Neural Architecture Search for Light-weight Multi-touch Classification”, The 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), Jun. 2021. (View)
  11. J. W. Song, Y. I. Park, J. J. Hong, S. G. Kim and S.-J. Kang, “Attention-based Bidirectional LSTM-CNN Model for Remaining Useful Life Estimation”, IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May. 2021. (View)
  12. W. J. Park*, J. H. Kim*, J. S. Kim, K. J. Yun, W. S. Cheong and S.-J. Kang, “Structured Camera Pose Estimation for Mosaic-based Omnidirectional Imaging,” IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea, May. 2021. (View)
  13. K. H. Kim, Y. H. Yun, K. W Kang, K. Gong, S. Lee, and S.-J. Kang, “Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning,” IEEE Winter Conference on Applications of Computer Vision (WACV), Jan. 2021. (View)
  14. J. H. Kim*, S. Lee* and S.-J. Kang, “End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images”,  Association for the Advancement of Artificial Intellignece (AAAI) , Feb. 2021. (View)

2020

 


  1. J. W. Chang*, S. H. Ahn*, K. W. Kang and S.-J. Kang, “Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs”, Proceeding of ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), pp.283-288, Jan. 2020. (View(Best Paper Candidate)
  2. S. Y. Jo, N. Ahn and S.-J. Kang, “Lightweight Tone-mapped HDRNET with Exposure Stack Generation”, The SID International Symposium, Seminar, and Exhibition, San Francisco, USA, Jun. 2020. (View)
  3. H. S. Yoon, S.H. Ahn, K. W. Kang,  I. H. Lee, S. J. Park, Y. A. Ma, S.-J. Kang, “Convolutional Neural Network-based Multi-touch Detection Technique on Learning from Class-imbalanced Dataset”, The SID International Symposium, Seminar, and Exhibition, San Francisco, USA, Jun. 2020. (View)
  4. J. Heo, G. Kim, J. Park, Y. Kim, S. S. Cho, C. W. Lee and S.-J. Kang*, “Lightweight Deep Neural network-based Real-Time Pose Estimation on Embedded Systems”, Intelligent Vehicle Symposium, Las Vegas, NV, USA,  Jun. 2020. (View)
  5. S.H. Ahn, J. W. Chang and S.-J. Kang, “An Efficient Accelerator Design Methodology for Deformable Convolutional Networks”, IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates (UAE), Oct. 2020. (View)
  6. J. W Song, N. Ahn and S.-J. Kang, “Deep Learning-based Mura Detection With Atrous Spatial Pyramid Pooling”, International Meeting on Information Display (IMID), Seoul, Korea, Aug. 2020.
  7. Y. I. Park, S. Y. Jo and S.-J. Kang, “Deep Learning-based HDR Generator Focused On Saturated Area Restoration”, International Meeting on Information Display (IMID), Seoul, Korea, Aug. 2020.
  8. J. S. Choi and S.-J. Kang, “Sequential Compression Using Efficient LUT Correlation for Display Defect Compensation”, International SoC Design Conference (ISOCC), Yeosu, Korea, Oct. 2020. (View(Best Paper Award)
  9. Y. I. Park, J. W. Song and S.-J. Kang, “HDR Image Generator Focused on Saturated Region Restoration with Contextual Loss”,  International SoC Design Conference (ISOCC), Yeosu, Korea, Oct. 2020. (View)
  10. J. H. Song, S.-J. Kang, “Fast 3D Hand Pose Estimation for Real-time System”, International SoC Design Conference (ISOCC), Yeosu, Korea, Oct. 2020. (View)
  11. J. H. Kim*, S. Lee* and S.-J. Kang, “End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images”,  Neural Information Processing Systems Workshop (NeurIPSW), Dec. 2020. (View)

2019


  1. S. J. Lee*, K. W. Kang*, S. Lee, and S.-J. Kang, “A Decomposition Method of Object Transfiguration”, SIGGRAPH Asia 2019 Technical Briefs. ACM, Nov. 2019. (View)
  2. J. Park, Y. Lee, J. Heo and S.-J. Kang*, “Convolutional Neural Network-based Jaywalking Data Generation and Classification”, International SoC Design Conference(ISOCC), Jeju, Korea, Oct. 2019. (View(Best Paper Award)
  3. J. Heo, J. Park and S. J. Kang, “Deep Learning-based Object Focused Optical Flow Estimation for Contents-aware Display System”, International Meeting on Information Display (IMID), Gyeongju, Korea, Aug. 2019. (Best Paper Award)
  4. S. Y. Jo, N. Ahn and S. J. Kang, “Deep Learning-based HDR Imaging for Virtual Reality Head Mounted Displays”, International Meeting on Information Display (IMID), Gyeongju, Korea, Aug. 2019.
  5. J. S. Choi, S. J. Lee and S.-J. Kang, “Deep learning-based data augmentation for display defect detection”, International Meeting on Information Display (IMID), Gyeongju, Korea, Aug. 2019.
  6. Y. L. Seo, S. H. Ahn, K. W. Kang and S.-J. Kang, “Optimal Quantization Selection for Fixed Point-based Convolution Neural Network”, International Meeting on Information Display (IMID), Gyeongju, Korea, Aug. 2019.
  7. J. W. Chang, K. W. Kang and S. J Kang, “SDCNN: An efficient sparse deconvolutional neural network accelerator on FPGA,” Proceedings of Design, Automation & Test in Europe (DATE), Mar. 2019. (View)
  8. N. Ahn and S.-J. Kang, “Multi-View image-based Vehicle Brand Recognition System with Cascaded Convolutional Neural Network”, 2019 IEEE International Conference on Consumer Electronics (ICCE). Jan. 2019. (View)
  9. Y. Lee and S.-J. Kang, “Web Scraping Crawling-based Automatic Data Augmentation for Deep Neural Networks-based Vehicle Classifications”, 2019 IEEE International Conference on Consumer Electronics (ICCE). Jan. 2019. (View)

2018


  1. S. Y. Jo, N. Ahn, Y. Lee, and S.-J. Kang, “Transfer Learning-based Vehicle Classification”, International SoC Design Conference(ISOCC), Daegu, Korea, Nov. 2018. (View)
  2. S. Kim, M. W. Seo, S. J. Lee and S.-J. Kang, “Object Tracking-based Foveated Super-Resolution Convolutional Neural Network for Head Mounted Display,” SIGGRAPH Asia 2018, ACM, Tokyo, Japan, Dec. 2018. (View)
  3. S. Lee, G. H An and S. J Kang. “Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks.” Proceedings of the European Conference on Computer Vision (ECCV). Sep. 2018. (View)
  4. J. W. Chang, K. W. Kang and S. J. Kang*, “FPGA-optimized Image Super-Resolution for Virtual Reality Using Deep Learning”, International Meeting on Information Display (IMID), Busan, Korea, Aug. 2018. (Best Paper Award)
  5. S. Kim, Y. Lee, N. Ahn, and S.-J. Kang*, “Driver Identification System Using Convolutional Neural Network with Background Removal-based Infrared Data Augmentation”, Intelligent Vehicle Symposium, Chang Shu, China, Jun. 2018. (View)
  6. J. W. Chang and S. J Kang, “On-Chip CNN Accelerator for Image Super-Resolution”, Proceedings of ACM/IEEE Design Automation Conference (DAC-WIP), San Francisco, CA, USA, Jun. 2018. (View)
  7. K. W. Kang, M. W. Seo, S. L. Lee, H. C. Lee, E. Y. Oh, J. S. Baek and S.-J. Kang*, “Head Movement-based Motion Blur Measurement System for Head Mounted Displays”, The SID International Symposium, Seminar, and Exhibition, Los Angeles, USA, May. 2018. (View)
  8. G. H. An, S. Lee, Y. D. Ahn and S.-J. Kang*, “Deep Tone-mapped HDRNET for High Dynamic Range Image Restoration”, The SID International Symposium, Seminar, and Exhibition, Los Angeles, USA, May. 2018. (View)
  9. Y. D. Ahn, J. W. Chang, S. I. Cho and S.-J. Kang, “Wireless Communication Module-based User Identification Technique,” International Symposium on Innovation in Information Technology and Application, Malaysia, Jan. 29 – Feb. 2, 2018. (View)
  10. S. I. Cho and S.-J. Kang, ” Real-time People Counting System Using Simplified Motion Detection,” International Symposium on Innovation in Information Technology and Application, Malaysia, Jan. 29 – Feb. 2, 2018. (View)
  11. J. W. Chang and S. J.Kang, “Optimizing FPGA-based Convolutional Neural Networks Accelerator for Image Super-Resolution”, Proceedings of ACM/IEEE Asia and South Pacific Design Automation Conference (ASP-DAC), Jan. 2018. (View)

2017


  1. J. W. Chang, S.-J. Kang*, M. W. S., S. W. Choi, S. L. Lee, H. C. Lee, E. Y. Oh, and J. S. Baek. “Real-time Temporal Quality Compensation Technique for Head Mounted Displays.” SIGGRAPH Asia 2017 PostersACM, Nov. 2017. (View)
  2. S. Kim, G. H. An, S.-J. Kang*, “Facial Expression Recognition System Using Machine Learning”, International SoC Design Conference(ISOCC), Seoul, Korea, Nov. 2017. (View(Best Paper Award)
  3. B. J. Kim,  S. Y. Lee and S.-J. Kang*, “Hybrid Sensors-based Wind Turbine Blade Monitoring system”, International Symposium on Advanced Intelligent Systems(ISIS), Daegu, Korea, Oct. 2017.
  4. Y. D. Ahn, G. H. An, Y.  S. Kim and S.-J. Kang*, “Reverse Tone Mapping with Adaptive Mapping Curve”, International Meeting on Information Display (IMID), Busan, Korea, Aug. 2017.
  5. G. H. An, Y. D. Ahn, and S.-J. Kang*, “Backlight Uniformity Evaluation Method for 1-D Local Dimming Display”, International Meeting on Information Display (IMID), Busan, Korea, Aug. 2017.
  6. S. P. Cheon, S. J.Kang, “Sensor-based Driver Condition Recognition using Support Vector Machine for the Detection of Driver Drowsiness,” Intelligent Vehicle Symposium, Los Angeles, USA, Jun. 2017. (View)
  7. M. W. Seo, S. W. Choi, and S.-J. Kang, “Sensor-based Latency Reduction Method for Virtual Reality Head Mounted Display”, The SID International Symposium, Seminar, and Exhibition, Los Angeles, USA, May. 2017. (View)

2016


  1. S. W. Choi, M. W. Seo, and S.-J. Kang, “Prediction-Based Latency Compensation Technique for Head Mounted Display”, 13th International SoC Design Conference, Jeju , Korea, Oct. 2016. (View)
  2. Y. D. Ahn, and S.-J. Kang*, “Mapping Table based Fisheye Image Correction Using Interpolation for Time Reduction”, 13th International SoC Design Conference, Jeju, Korea, Oct. 2016. (View)
  3. H. S. Lee, S.-J. Kang, and Y. H. Kim*, “Motion Vector Smoothing of Boundary of Moving Object for Frame Rate Up-Conversion”, 13th International SoC Design Conference, Jeju, Korea, Oct. 2016. (View)
  4. S. Yoon, S.-J. Kang, and Y. H. Kim*, “Block-based Static Caption Detection Using Intensity Range”, IEEE Global Conference on Consumer Electronics, Kyoto, Japan, Oct. 2016. (View)
  5. M. W. Seo, S. W. Choi, S. L. Lee, J. H. Park, E. Y. Oh, J. S. Baek and S.-J. Kang, “Motion-to-Photon Latency Analysis for Virtual Reality HMD System”, The 16th International Meeting on Information Display (IMID), Jeju, Korea, Aug. 2016.
  6. S. P. Cheon, S. H. Kim, Y. H. Kim and S.-J. Kang*, “Performance Analysis of Stereo Matching for Multiview 3D Displays,” The 16th International Meeting on Information Display (IMID), Jeju, Korea, Aug. 2016.
  7. S. W. Choi, M. W. Seo, S. L. Lee, J. H. Park, E. Y. Oh, J. S. Baek and S.-J. Kang, “Head position model-based Latency Measurement System for Virtual Reality Head Mounted Display”, The SID International Symposium, Seminar, and Exhibition, San Francisco, USA, May. 2016. (View)
  8. S.-J. Kang, Y. W Jeong, J. J. Yun and S. Bae*, “Real-time Eye Tracking Technique for Multiview 3D Systems”, The 32th International Conference on Consumer Electronics, Las Vegas, USA, Jan. 2016. (View)

2015


  1. S. W. Choi and S.-J. Kang, “Edge Density-based Age Estimation Algorithm for Public Display”, The 15th International Meeting on Information Display (IMID), Daegu, Korea, Aug. 2015.
  2. Y. D. Ahn and S.-J. Kang*, “OLED Power-Reduction Algorithm Using Gray-Level Mapping Conversion”, The SID International Symposium, Seminar, and Exhibition, San Jose, USA, May 31-June 5, 2015. (View)
  3. S.-J. Kang, “Positional Analysis-based Scene-change Detection Algorithm”, The 31th International Conference on Consumer Electronics, Las Vegas, USA, Jan. 2015. (View)

2014


1. S.-J. Kang, Y.  Ahn, and M. Y. Lee*, “Optimal Subpixel Rendering Technique for Ultrasound Imaging Displays”, The 10th Display Valley Conference and Exhibition (DVCE2014), Chungnam, Korea, Nov. 2014. (Outstanding Poster Paper Award)

2013


  1. S.-J. Kang, S. I. Cho, S. Yoo and Y. H. Kim*, “Multi-histogram Based Scene Change Detection for Frame Rate Up-Conversion”, The 31th International Conference on Consumer Electronics, Las Vegas, USA, Jan. 2013. (View)

~ 2012


  1. S.-J. Kang, S. Kim, E. Oh and Y. W. Song*, “Luminance-Difference-based Adaptive Subpixel Rendering Algorithm for Matrix Displays”, The 30th International Conference on Consumer Electronics, Las Vegas, USA, Jan. 2012. (View)
  2. S.-J. Kang and Y. H. Kim*, “Dynamic Backlight Dimming Using Multiple Histograms for Low Power Liquid Crystal Displays”, The 29th International Conference on Consumer Electronics, Las Vegas, USA, Jan. 2011. (View)
  3. D. G. Yoo, S.-J. Kang, S. K. Lee and Y. H. Kim*, “Performance Comparison of Fast Bilateral Motion Estimation Algorithms for Frame Rate Up-Conversion”, International Meeting on Information Display (IMID), Seoul, Korea, Oct. 2010.\r\nS. I. Cho, S.-J. Kang  and Y. H. Kim*, “Global Backlight Dimming Method Using a Two-sided Gray-level Conversion for LCD”, International Meeting on Information Display (IMID), Seoul, Korea, Oct. 2010.
  4. P. Lavole, S.-J. Kang, S. K. Lee and Y. H. Kim*, “Dynamic Global Dimming Method based on the Complementary Cumulative Distribution Function for LCD”, International Meeting on Information Display (IMID), Seoul, Korea, Oct. 2010.
  5. S.-J. Kang, H. Ahn, H. Hong, E. Oh, I. Chung and Y. H. Kim*, “Low-Power LCDs Using an Image Integrity-Based Backlight-Dimming Algorithm”, The SID International Symposium, Seminar, and Exhibition, Seattle, USA, May. 2010. (View)
  6. P. Lavole, S. K. Lee, S.-J. Kang and Y. H. Kim*, “Dynamic Clipping Ratio Determination for Global Backlight Dimming in LCD”, The IEEE International Symposium on Circuits and Systems (ISCAS), Paris, France, May 30-June 2, 2010. (View)
  7. S.-J. Kang, D. G. Yoo, S. K. Lee and Y. H. Kim*, “Full Search Block Matching Algorithm using Pattern-based Sub-sampling for Low Power Hardware Implementation”, International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC), Jeju, Korea, Jul. 2009. (View)
  8. S.-J. Kang, D. G. Yoo, S. K. Lee and Y. H. Kim*, “Design and Implementation of Median Filter based Adaptive Motion Vector Smoothing for Motion Compensated Frame Rate Up-Conversion”, The 13th IEEE International Symposium on Consumer Electronics, Kyoto, Japan, May. 2009. (View)
  9. D. G. Yoo, S.-J. Kang, S. K. Lee and Y. H. Kim*, “Adaptive Sum of the Bilateral Absolute Difference for Motion Estimation Using Temporal Symmetry”, The SID International Symposium, Seminar, and Exhibition, Texas, USA, May. 2009. (View)
  10. S.-J. Kang, D. G. Yoo, S. K. Lee and Y. H. Kim, “Hardware Implementation of Motion Estimation Using a Sub-sampled Block for Frame Rate Up-Conversion”, International SoC Design Conference (ISOCC), Busan, Korea, Nov. 2008. (View)
  11. D. G. Yoo, S.-J. Kang, S. K. Lee and Y. H. Kim*, “Phase Correlated Bilateral Motion Estimation for Frame Rate Up-Conversion”, International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC), Shimonoseki, Japan, Jul. 2008. (View)
  12. S.-J. Kang, D. G. Yoo, S. K. Lee and Y. H. Kim*, “Adaptive frame rate up-conversion considering low computational complexity and complex motion”, The SID International Symposium, Seminar, and Exhibition, LA, USA, May. 2008. (View)
  13. S. K. Lee, D. G. Yoo, S.-J. Kang and Y. H. Kim*, “A Novel Image Compression Algorithm for Overdriving”, The SID International Symposium, Seminar, and Exhibition, LA, USA, May. 2008. (View)
  14. S.-J. Kang, S. K. Lee, D. G. Yu and Y. H. Kim*, “Frame rate up-conversion with bidirectional sub-sampled block motion estimation and minimum deviation filter”, International Conference on New Exploratory Technologies, Seoul, Korea, Oct. 2007. (View)
  15. D. G. Yoo, S.-J. Kang, S. K. Lee and Y. H. Kim*, “Adaptive color processing algorithm for frame rate up-conversion”, International Conference on New Exploratory Technologies, Seoul, Korea, Oct. 2007.
  16. S.-J. Kang, D. G. Yoo and Y. H. Kim*, “Phase correlation-based motion estimation using variable block sizes for frame rate up-conversion”, International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC), Pusan, Korea, Jul. 2007. (View)
  17. S.-J. Kang and Y. H. Kim*, “Performance comparison of motion estimation methods for frame rate up-conversion”, International Display Workshops (IDW), Otsu, Japan, Dec. 2006. (View)