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ORCIDSung In Cho
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2020 – today
- 2024
[j35]Ho Sub Lee, Sung In Cho:
Multi-scale attention in attention neural network for single image deblurring. Displays 85: 102860 (2024)- [j34]Eun Su Kang, Yeon Jeong Chae, Jae Hyeon Park, Sung In Cho
:
DCID: A divide and conquer approach to solving the trade-off problem between artifacts caused by enhancement procedure in image downscaling. Signal Process. Image Commun. 126: 117133 (2024) - [c14]Jae Hyeon Park, Gyoomin Lee, Seunggi Park, Sung In Cho:
Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor. CVPR 2024: 17722-17731 - 2023
- [j33]Ba Hung Ngo, Yeon Jeong Chae, So Jeong Park, Ju Hyun Kim, Sung In Cho:
Multiple Tasks-Based Multi-Source Domain Adaptation Using Divide-and-Conquer Strategy. IEEE Access 11: 134969-134985 (2023) - [j32]Jae Hyeon Park, Ju Hyun Kim, Ba Hung Ngo, Jung Eun Kwon, Sung In Cho:
Adversarial representation teaching with perturbation-agnostic student-teacher structure for semi-supervised learning. Appl. Intell. 53(22): 26797-26809 (2023) - [j31]Ho Sub Lee, Sung In Cho:
Spatiotemporal directional coherence-based scrolling-text detection for frame rate up-conversion. Displays 78: 102412 (2023) - [j30]Ho Sub Lee, Sung In Cho:
Locally Adaptive Channel Attention-Based Spatial-Spectral Neural Network for Image Deblurring. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5375-5390 (2023) - [j29]Ba Hung Ngo, Yeon Jeong Chae, Jae Hyeon Park, Ju Hyun Kim, Sung In Cho:
Easy-to-Hard Structure for Remote Sensing Scene Classification in Multitarget Domain Adaptation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j28]Yeon Jeong Chae, So Jeong Park, Eun Su Kang, Moon Ju Chae, Ba Hung Ngo, Sung In Cho:
Point2Lane: Polyline-Based Reconstruction With Principal Points for Lane Detection. IEEE Trans. Intell. Transp. Syst. 24(12): 14813-14829 (2023) - [c13]Ba Hung Ngo, Yeon Jeong Chae, Jung Eun Kwon, Jae Hyeon Park, Sung In Cho:
Improved Knowledge Transfer for Semi-supervised Domain Adaptation via Trico Training Strategy. ICCV 2023: 19157-19166 - 2022
- [j27]Ho Sub Lee, Sung In Cho:
Luminance Level of Histogram-Based Scene-Change Detection for Frame Rate Up-Conversion. IEEE Access 10: 15968-15977 (2022) - [j26]Eun Su Kang, Jung Eun Kwon, Hae Ju Park, Moon Ju Chae, Sung In Cho:
BDIS: Balanced Training Architecture for Dual Image Scaler Using Origin Referenceable Losses. IEEE Access 10: 56469-56481 (2022) - [j25]So Jeong Park, Hae Ju Park, Eun Su Kang, Ba Hung Ngo, Ho Sub Lee, Sung In Cho:
Pseudo Label Rectification via Co-Teaching and Decoupling for Multisource Domain Adaptation in Semantic Segmentation. IEEE Access 10: 91137-91149 (2022) - [j24]Ho Sub Lee, Sung In Cho:
Local directional coding-based scene change detection for frame rate up-conversion. Digit. Signal Process. 126: 103501 (2022) - [j23]Ho Sub Lee, Sung In Cho:
Spatial color histogram-based image segmentation using texture-aware region merging. Multim. Tools Appl. 81(17): 24573-24600 (2022) - [j22]Ba Hung Ngo, Ju Hyun Kim, So Jeong Park, Sung In Cho:
Collaboration Between Multiple Experts for Knowledge Adaptation on Multiple Remote Sensing Sources. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c12]Ju Hyun Kim, Ba Hung Ngo, Jae Hyeon Park, Jung Eun Kwon, Ho Sub Lee, Sung In Cho:
Distilling and Refining Domain-Specific Knowledge for Semi-Supervised Domain Adaptation. BMVC 2022: 606 - 2021
- [j21]Ba Hung Ngo, Jae Hyeon Park, So Jeong Park, Sung In Cho:
Semi-Supervised Domain Adaptation Using Explicit Class-Wise Matching for Domain-Invariant and Class-Discriminative Feature Learning. IEEE Access 9: 128467-128480 (2021) - [j20]Ba Hung Ngo, Ju Hyun Kim, Yeon Jeong Chae, Sung In Cho:
Multi-View Collaborative Learning for Semi-Supervised Domain Adaptation. IEEE Access 9: 166488-166501 (2021) - [j19]Jae Hyeon Park, Sung In Cho:
Flow analysis-based fast-moving flow calibration for a people-counting system. Multim. Tools Appl. 80(21): 31671-31685 (2021) - [j18]Sung In Cho, Jae Hyeon Park, Suk-Ju Kang:
A Generative Adversarial Network-Based Image Denoiser Controlling Heterogeneous Losses. Sensors 21(4): 1191 (2021) - [j17]Sung In Cho, Suk-Ju Kang:
Learning Methodologies to Generate Kernel-Learning-Based Image Downscaler for Arbitrary Scaling Factors. IEEE Trans. Image Process. 30: 4526-4539 (2021) - 2020
- [j16]Ho Sub Lee, Sung In Cho:
Directional Coherence-Based Scrolling-Text Detection for Frame Rate Up-Conversion. IEEE Access 8: 182044-182053 (2020) - [j15]Sung In Cho, Suk-Ju Kang:
Extrapolation-Based Video Retargeting With Backward Warping Using an Image-to-Warping Vector Generation Network. IEEE Signal Process. Lett. 27: 446-450 (2020) - [j14]Seung Joon Lee, Siyeong Lee, Sung In Cho, Suk-Ju Kang:
Object Detection-Based Video Retargeting With Spatial-Temporal Consistency. IEEE Trans. Circuits Syst. Video Technol. 30(12): 4434-4439 (2020) - [j13]Sung In Cho:
Vision-Based People Counter Using CNN-Based Event Classification. IEEE Trans. Instrum. Meas. 69(8): 5308-5315 (2020) - [j12]Sung In Cho, Suk-Ju Kang:
Temporal Incoherence-Free Video Retargeting Using Foreground Aware Extrapolation. IEEE Trans. Image Process. 29: 4848-4861 (2020)
2010 – 2019
- 2019
- [j11]Sung In Cho, Suk-Ju Kang:
Histogram Shape-Based Scene-Change Detection Algorithm. IEEE Access 7: 27662-27667 (2019) - [j10]Ho Sub Lee, Gyu Jin Bae, Sung In Cho, Young Hwan Kim, Seokhyeong Kang:
SmartGrid: Video Retargeting With Spatiotemporal Grid Optimization. IEEE Access 7: 127564-127579 (2019) - [j9]Gyu Jin Bae, Sung In Cho, Suk-Ju Kang, Young Hwan Kim:
Dual-dissimilarity measure-based statistical video cut detection. J. Real Time Image Process. 16(6): 1987-1997 (2019) - [j8]Sung In Cho, Suk-Ju Kang:
Gradient Prior-Aided CNN Denoiser With Separable Convolution-Based Optimization of Feature Dimension. IEEE Trans. Multim. 21(2): 484-493 (2019) - 2018
- [j7]Gyu Jin Bae, Chan Young Jang, Sung In Cho, Young Hwan Kim:
Non-Iterative Tone Mapping With High Efficiency and Robustness. IEEE Access 6: 35720-35733 (2018) - [j6]Sung In Cho, Suk-Ju Kang:
Real-Time People Counting System for Customer Movement Analysis. IEEE Access 6: 55264-55272 (2018) - [j5]Sung In Cho, Suk-Ju Kang:
Geodesic Path-Based Diffusion Acceleration for Image Denoising. IEEE Trans. Multim. 20(7): 1738-1750 (2018) - [c11]Ki Ho Kwak, Jun-Taek Kong, Sung In Cho, Huy Tung Phuong, Gwang Yong Gim:
A Study on the Design of Efficient Private Blockchain. CSII (selected papers) 2018: 93-121 - [c10]Jae Hyeon Park, Jeong Hyeon Kim, Sung In Cho:
The Analysis of CNN Structure for Image Denoising. ISOCC 2018: 220-221 - [c9]Jeong Hyeon Kim, Jae Hyeon Park, Sung In Cho:
Optimized Image Crop-based Video Retargeting. ISOCC 2018: 224-225 - 2016
- [j4]Sung In Cho, Suk-Ju Kang, Seongsoo Lee, Young Hwan Kim:
Extended-dimensional anisotropic diffusion using diffusion paths on inter-color planes for noise reduction. Digit. Signal Process. 48: 27-39 (2016) - 2015
- [c8]Sung In Cho, Kyoung-Rok Cho, Young Hwan Kim:
Automatic depth map generation from a single image using segment-adaptive depth merging. ICCE 2015: 635-636 - [c7]Ho Sub Lee, Sung In Cho, Gyu Jin Bae, Young Hwan Kim, Hi-Seok Kim:
Foreground-based depth map generation for 2D-to-3D conversion. ISCAS 2015: 1210-1213 - 2014
- [j3]Sung In Cho, Suk-Ju Kang, Young Hwan Kim:
Human perception-based image segmentation using optimising of colour quantisation. IET Image Process. 8(12): 761-770 (2014) - [j2]Sung In Cho, Suk-Ju Kang, Hi-Seok Kim, Young Hwan Kim:
Dictionary-based anisotropic diffusion for noise reduction. Pattern Recognit. Lett. 46: 36-45 (2014) - [j1]Hanjoo Cho, Suk-Ju Kang, Sung In Cho, Young Hwan Kim:
Image segmentation using linked mean-shift vectors and its implementation on GPU. IEEE Trans. Consumer Electron. 60(4): 719-727 (2014) - [c6]Gyu Jin Bae, Sung In Cho, Sanghun Kim, Young Hwan Kim:
Image denoising considering characteristics of YCbCr color channels. ICCE-Berlin 2014: 188-191 - [c5]Hanjoo Cho, Sung In Cho, Young Hwan Kim:
Image segmentation using linked mean-shift vectors for SIMD architecture. ICCE 2014: 484-485 - 2013
- [c4]Jae Sung Lim, Sung In Cho, Young Hwan Kim:
Accuracy enhancement of image segmentation using adaptive anisotropic diffusion. GCCE 2013: 451-452 - [c3]Suk-Ju Kang, Sung In Cho, Sungjoo Yoo, Young Hwan Kim:
Multi-histogram based scene change detection for frame rate up-conversion. ICCE 2013: 332-333 - [c2]Sung In Cho, Young Hwan Kim:
Edge connectivity-based image denoising for digital TV systems. ICCE 2013: 391-392 - 2011
- [c1]Sung In Cho, Hi-Seok Kim, Young Hwan Kim:
Two-step local dimming for image quality preservation in LCD displays. ISOCC 2011: 274-277
Coauthor Index
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