CNN-based LDR-to-HDR conversion system. - Seung-Jun Shin; Kyeongbo Kong; Woo-Jin Song (ICCE, 2018)

Multistage Fusion With Dissimilarity Regularization for SAR/IR Target Recognition. - Young-Rae Cho; Seung-Jun Shin; Sung-Hyuk Yim; Kyeongbo Kong; Hyun-Woong Cho; Woo-Jin Song (IEEE Access, 2019)

Recycling: Semi-Supervised Learning With Noisy Labels in Deep Neural Networks. - Kyeongbo Kong; Junggi Lee; Youngchul Kwak; Minsung Kang; Seong Gyun Kim; Woo-Jin Song (IEEE Access, 2019)

How to Estimate Global Motion Non-Iteratively From a Coarsely Sampled Motion Vector Field. - Kyeongbo Kong; Seung-Jun Shin; Junggi Lee; Woo-Jin Song (IEEE Trans. Circuits Syst. Video Technol., 2019)

Multilevel Feature Fusion With 3D Convolutional Neural Network for EEG-Based Workload Estimation. - Youngchul Kwak; Kyeongbo Kong; Woo-Jin Song; Byoung-Kyong Min; Seong-Eun Kim (IEEE Access, 2020)

Deep-learning-based precoding in multiuser MIMO downlink channels with limited feedback. - Kyeongbo Kong; Woo-Jin Song; Moonsik Min (CoRR, 2020)

BlockNet: A Deep Neural Network for Block-Based Motion Estimation Using Representative Matching. - Junggi Lee; Kyeongbo Kong; Gyu Jin Bae; Woo-Jin Song (Symmetry, 2020)

Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning. - Kyunghun Kim; Yeohun Yun; Keon-Woo Kang; Kyeongbo Kong; Siyeong Lee; Suk-Ju Kang (WACV, 2021)

Attention Map-guided Two-stage Anomaly Detection using Hard Augmentation. - Jou Won Song; Kyeongbo Kong; Ye In Park; Suk-Ju Kang (CoRR, 2021)

Core-set Sampling for Efficient Neural Architecture Search. - Jae-hun Shim; Kyeongbo Kong; Suk-Ju Kang (CoRR, 2021)

Mitigating Memorization in Sample Selection for Learning with Noisy Labels. - Kyeongbo Kong; Junggi Lee; Youngchul Kwak; Young-Rae Cho; Seong-Eun Kim; Woo-Jin Song (CoRR, 2021)

Selective Focusing Learning in Conditional GANs. - Kyeongbo Kong; Kyunghun Kim; Woo-Jin Song; Suk-Ju Kang (CoRR, 2021)

AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning. - Jou Won Song; Kyeongbo Kong; Ye In Park; Seong Gyun Kim; Suk-Ju Kang (CoRR, 2021)

Knowledge Distillation-Aided End-to-End Learning for Linear Precoding in Multiuser MIMO Downlink Systems With Finite-Rate Feedback. - Kyeongbo Kong; Woo-Jin Song; Moonsik Min (IEEE Trans. Veh. Technol., 2021)

Selective TransHDR: Transformer-Based Selective HDR Imaging Using Ghost Region Mask. - Jou Won Song; Ye In Park; Kyeongbo Kong; Jaeho Kwak; Suk-Ju Kang (ECCV (17), 2022)

Image-Adaptive Hint Generation via Vision Transformer for Outpainting. - Daehyeon Kong; Kyeongbo Kong; Kyunghun Kim; Sung-Jun Min; Suk-Ju Kang (WACV, 2022)

Image Demoireing via U-Net for Detection of Display Defects. - Jung-Hyun Kim 004; Kyeongbo Kong; Suk-Ju Kang (IEEE Access, 2022)

Penalty based robust learning with noisy labels. - Kyeongbo Kong; Junggi Lee; Youngchul Kwak; Young-Rae Cho; Seong-Eun Kim; Woo-Jin Song (Neurocomputing, 2022)

Dynamic Hand Gesture Recognition Using Improved Spatio-Temporal Graph Convolutional Network. - Jae-Hun Song; Kyeongbo Kong; Suk-Ju Kang (IEEE Trans. Circuits Syst. Video Technol., 2022)

FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation. - Jae-hun Shim; Hyunwoo Yu; Kyeongbo Kong; Suk-Ju Kang (AAAI, 2023)

Digital handwriting correction using deep learning. - Dong-Hoon Kim; Hyun-Jun Na; Seong-Hun Jeong; Na-Young Kim; Kyeongbo Kong (ICEIC, 2023)

SEFD: Learning to Distill Complex Pose and Occlusion. - ChangHee Yang; Kyeongbo Kong; Sung-Jun Min; Dongyoon Wee; Ho-Deok Jang; Geonho Cha; Suk-Ju Kang (ICCV, 2023)

An Unified Framework for Language Guided Image Completion. - Jihyun Kim; Seong-Hun Jeong; Kyeongbo Kong; Suk-Ju Kang (WACV, 2023)

Human Body-Aware Feature Extractor Using Attachable Feature Corrector for Human Pose Estimation. - Ginam Kim; Hyunsung Kim; Kyeongbo Kong; Jou Won Song; Suk-Ju Kang (IEEE Trans. Multim., 2023)

Subject-Invariant Deep Neural Networks Based on Baseline Correction for EEG Motor Imagery BCI. - Youngchul Kwak; Kyeongbo Kong; Woo-Jin Song; Seong-Eun Kim (IEEE J. Biomed. Health Informatics, 2023)

Out-of-Focus Image Deblurring for Mobile Display Vision Inspection. - Sung-Jun Min; Kyeongbo Kong; Suk-Ju Kang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Person in Place: Generating Associative Skeleton-Guidance Maps for Human-Object Interaction Image Editing. - ChangHee Yang; Chanhee Kang; Kyeongbo Kong; Hanni Oh; Suk-Ju Kang (CVPR, 2024)

AttentionHand: Text-Driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild. - Junho Park; Kyeongbo Kong; Suk-Ju Kang (ECCV (60), 2024)

Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation. - Hyunwoo Yu; Yubin Cho; Beoungwoo Kang; Seunghun Moon; Kyeongbo Kong; Suk-Ju Kang (ECCV (42), 2024)

Human Motion Aware Text-to-Video Generation with Explicit Camera Control. - Taehoon Kim; Chanhee Kang; JaeHyuk Park; Daun Jeong; ChangHee Yang; Suk-Ju Kang; Kyeongbo Kong (WACV, 2024)

Enhancing Stability in Training Conditional Generative Adversarial Networks via Selective Data Matching. - Kyeongbo Kong; Kyunghun Kim; Suk-Ju Kang (IEEE Access, 2024)

Image clustering using generated text centroids. - Daehyeon Kong; Kyeongbo Kong; Suk-Ju Kang (Signal Process. Image Commun., 2024)

MosaicMVS: Mosaic-Based Omnidirectional Multi-View Stereo for Indoor Scenes. - Min-Jung Shin; Woojune Park; Minji Cho; Kyeongbo Kong; Hoseong Son; Joonsoo Kim; Kugjin Yun; Gwangsoon Lee; Suk-Ju Kang (IEEE Trans. Multim., 2024)

Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images. - In-Hwan Jin; Haesoo Choo; Seong-Hun Jeong; Park Heemoon; Junghwan Kim; Oh-joon Kwon; Kyeongbo Kong (ICLR, 2025)

Unsupervised Knowledge Distillation via Local Representations for Vision-Language Models. - Changwoo Baek; Jou Won Song; Kyeongbo Kong (IEEE Signal Process. Lett., 2025)

Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images. - In-Hwan Jin; Haesoo Choo; Seong-Hun Jeong; Heemoon Park; Junghwan Kim; Oh-joon Kwon; Kyeongbo Kong (CoRR, 2025)

Programmable-Room: Interactive Textured 3D Room Meshes Generation Empowered by Large Language Models. - Jihyun Kim; Junho Park; Kyeongbo Kong; Suk-Ju Kang (CoRR, 2025)