Two-step local dimming for image quality preservation in LCD displays. - Sung In Cho; Hi-Seok Kim; Young Hwan Kim (ISOCC, 2011)

Accuracy enhancement of image segmentation using adaptive anisotropic diffusion. - Jae Sung Lim; Sung In Cho; Young Hwan Kim (GCCE, 2013)

Edge connectivity-based image denoising for digital TV systems. - Sung In Cho; Young Hwan Kim (ICCE, 2013)

Multi-histogram based scene change detection for frame rate up-conversion. - Suk-Ju Kang; Sung In Cho; Sungjoo Yoo; Young Hwan Kim (ICCE, 2013)

Image denoising considering characteristics of YCbCr color channels. - Gyu Jin Bae; Sung In Cho; Sanghun Kim; Young Hwan Kim (ICCE-Berlin, 2014)

Image segmentation using linked mean-shift vectors for SIMD architecture. - Hanjoo Cho; Sung In Cho; Young Hwan Kim (ICCE, 2014)

Human perception-based image segmentation using optimising of colour quantisation. - Sung In Cho; Suk-Ju Kang; Young Hwan Kim (IET Image Process., 2014)

Dictionary-based anisotropic diffusion for noise reduction. - Sung In Cho; Suk-Ju Kang; Hi-Seok Kim; Young Hwan Kim (Pattern Recognit. Lett., 2014)

Image segmentation using linked mean-shift vectors and its implementation on GPU. - Hanjoo Cho; Suk-Ju Kang; Sung In Cho; Young Hwan Kim (IEEE Trans. Consumer Electron., 2014)

Automatic depth map generation from a single image using segment-adaptive depth merging. - Sung In Cho; Kyoung-Rok Cho; Young Hwan Kim (ICCE, 2015)

Foreground-based depth map generation for 2D-to-3D conversion. - Ho Sub Lee; Sung In Cho; Gyu Jin Bae; Young Hwan Kim; Hi-Seok Kim (ISCAS, 2015)

Extended-dimensional anisotropic diffusion using diffusion paths on inter-color planes for noise reduction. - Sung In Cho; Suk-Ju Kang; Seongsoo Lee; Young Hwan Kim (Digit. Signal Process., 2016)

A Study on the Design of Efficient Private Blockchain. - Ki Ho Kwak; Jun-Taek Kong; Sung In Cho; Huy Tung Phuong; Gwang Yong Gim (CSII (selected papers), 2018)

Optimized Image Crop-based Video Retargeting. - Jeong Hyeon Kim; Jae Hyeon Park; Sung In Cho (ISOCC, 2018)

The Analysis of CNN Structure for Image Denoising. - Jae Hyeon Park; Jeong Hyeon Kim; Sung In Cho (ISOCC, 2018)

Non-Iterative Tone Mapping With High Efficiency and Robustness. - Gyu Jin Bae; Chan Young Jang; Sung In Cho; Young Hwan Kim (IEEE Access, 2018)

Real-Time People Counting System for Customer Movement Analysis. - Sung In Cho; Suk-Ju Kang (IEEE Access, 2018)

Geodesic Path-Based Diffusion Acceleration for Image Denoising. - Sung In Cho; Suk-Ju Kang (IEEE Trans. Multim., 2018)

Histogram Shape-Based Scene-Change Detection Algorithm. - Sung In Cho; Suk-Ju Kang (IEEE Access, 2019)

SmartGrid: Video Retargeting With Spatiotemporal Grid Optimization. - Ho Sub Lee; Gyu Jin Bae; Sung In Cho; Young Hwan Kim; Seokhyeong Kang (IEEE Access, 2019)

Dual-dissimilarity measure-based statistical video cut detection. - Gyu Jin Bae; Sung In Cho; Suk-Ju Kang; Young Hwan Kim (J. Real Time Image Process., 2019)

Gradient Prior-Aided CNN Denoiser With Separable Convolution-Based Optimization of Feature Dimension. - Sung In Cho; Suk-Ju Kang (IEEE Trans. Multim., 2019)

Directional Coherence-Based Scrolling-Text Detection for Frame Rate Up-Conversion. - Ho Sub Lee; Sung In Cho (IEEE Access, 2020)

Extrapolation-Based Video Retargeting With Backward Warping Using an Image-to-Warping Vector Generation Network. - Sung In Cho; Suk-Ju Kang (IEEE Signal Process. Lett., 2020)

Object Detection-Based Video Retargeting With Spatial-Temporal Consistency. - Seung Joon Lee; Siyeong Lee; Sung In Cho; Suk-Ju Kang (IEEE Trans. Circuits Syst. Video Technol., 2020)

Vision-Based People Counter Using CNN-Based Event Classification. - Sung In Cho (IEEE Trans. Instrum. Meas., 2020)

Temporal Incoherence-Free Video Retargeting Using Foreground Aware Extrapolation. - Sung In Cho; Suk-Ju Kang (IEEE Trans. Image Process., 2020)

Multi-View Collaborative Learning for Semi-Supervised Domain Adaptation. - Ba Hung Ngo; Ju Hyun Kim; Yeon Jeong Chae; Sung In Cho (IEEE Access, 2021)

Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning. - Ba Hung Ngo; Jae Hyeon Park; So Jeong Park; Sung In Cho (IEEE Access, 2021)

Flow analysis-based fast-moving flow calibration for a people-counting system. - Jae Hyeon Park; Sung In Cho (Multim. Tools Appl., 2021)

A Generative Adversarial Network-Based Image Denoiser Controlling Heterogeneous Losses. - Sung In Cho; Jae Hyeon Park; Suk-Ju Kang (Sensors, 2021)

Learning Methodologies to Generate Kernel-Learning-Based Image Downscaler for Arbitrary Scaling Factors. - Sung In Cho; Suk-Ju Kang (IEEE Trans. Image Process., 2021)

Distilling and Refining Domain-Specific Knowledge for Semi-Supervised Domain Adaptation. - Ju Hyun Kim; Ba Hung Ngo; Jae Hyeon Park; Jung Eun Kwon; Ho Sub Lee; Sung In Cho (BMVC, 2022)

BDIS: Balanced Training Architecture for Dual Image Scaler Using Origin Referenceable Losses. - Eun Su Kang; Jung Eun Kwon; Hae Ju Park; Moon Ju Chae; Sung In Cho (IEEE Access, 2022)

Luminance Level of Histogram-Based Scene-Change Detection for Frame Rate Up-Conversion. - Ho Sub Lee; Sung In Cho (IEEE Access, 2022)

Pseudo Label Rectification via Co-Teaching and Decoupling for Multisource Domain Adaptation in Semantic Segmentation. - So Jeong Park; Hae Ju Park; Eun Su Kang; Ba Hung Ngo; Ho Sub Lee; Sung In Cho (IEEE Access, 2022)

Local directional coding-based scene change detection for frame rate up-conversion. - Ho Sub Lee; Sung In Cho (Digit. Signal Process., 2022)

Spatial color histogram-based image segmentation using texture-aware region merging. - Ho Sub Lee; Sung In Cho (Multim. Tools Appl., 2022)

Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources. - Ba Hung Ngo; Ju Hyun Kim; So Jeong Park; Sung In Cho (IEEE Trans. Geosci. Remote. Sens., 2022)

Improved Knowledge Transfer for Semi-supervised Domain Adaptation via Trico Training Strategy. - Ba Hung Ngo; Yeon Jeong Chae; Jung Eun Kwon; Jae Hyeon Park; Sung In Cho (ICCV, 2023)

Multiple Tasks-Based Multi-Source Domain Adaptation Using Divide-and-Conquer Strategy. - Ba Hung Ngo; Yeon Jeong Chae; So Jeong Park; Ju Hyun Kim; Sung In Cho (IEEE Access, 2023)

Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation. - Ba Hung Ngo; Yeon Jeong Chae; Jae Hyeon Park; Ju Hyun Kim; Sung In Cho (IEEE Trans. Geosci. Remote. Sens., 2023)

Spatiotemporal directional coherence-based scrolling-text detection for frame rate up-conversion. - Ho Sub Lee; Sung In Cho (Displays, 2023)

Locally Adaptive Channel Attention-Based Spatial-Spectral Neural Network for Image Deblurring. - Ho Sub Lee; Sung In Cho (IEEE Trans. Circuits Syst. Video Technol., 2023)

Adversarial representation teaching with perturbation-agnostic student-teacher structure for semi-supervised learning. - Jae Hyeon Park; Ju Hyun Kim; Ba Hung Ngo; Jung Eun Kwon; Sung In Cho (Appl. Intell., 2023)

Point2Lane: Polyline-Based Reconstruction With Principal Points for Lane Detection. - Yeon Jeong Chae; So Jeong Park; Eun Su Kang; Moon Ju Chae; Ba Hung Ngo; Sung In Cho (IEEE Trans. Intell. Transp. Syst., 2023)

Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor. - Jae Hyeon Park; Gyoomin Lee; Seunggi Park; Sung In Cho (CVPR, 2024)

Anthropometric Landmark Detection Network via Geodesic Heatmap on 3D Human Scan. - Minhee Cha; Jae Hyeon Park; Ji Sun Byun; Sangyeon Ahn; Gyoomin Lee; Seung-Hyun Yoon; Sung In Cho (IEEE Access, 2024)

Multi-scale attention in attention neural network for single image deblurring. - Ho Sub Lee; Sung In Cho (Displays, 2024)

DCID: A divide and conquer approach to solving the trade-off problem between artifacts caused by enhancement procedure in image downscaling. - Eun Su Kang; Yeon Jeong Chae; Jae Hyeon Park; Sung In Cho (Signal Process. Image Commun., 2024)

Dynamic Pseudo Labeling via Gradient Cutting for High-Low Entropy Exploration. - Jae Hyeon Park; Joo Hyeon Jeon; Jae Yun Lee; Sangyeon Ahn; Minhee Cha; Min Geol Kim; Hyeok Nam; Sung In Cho (CVPR, 2025)

Online Hand Gesture Recognition Using Semantically Interpretable Attention Mechanism. - Moon Ju Chae; Sang Hoon Han; Hyeok Nam; Jae Hyeon Park; Minhee Cha; Sung In Cho (IEEE Access, 2025)

Context-Aware Sim-to-Real Unsupervised Domain Adaptation for Lane Detection via Disentangled Feature Alignment. - Yeon Jeong Chae; Ji Sun Byun; Yun Hak Lee; Jae Yun Lee; Sang Hoon Han; Joo Hyeon Jeon; Sung In Cho (IEEE Trans Autom. Sci. Eng., 2025)

Color coherence-based scene-change detection for frame rate up-conversion. - Ho Sub Lee; Sung In Cho (Multim. Tools Appl., 2025)