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Eungi Lee*, Seung-hyeok Back*, Hyung-Il Kim, and Seok Bong Yoo, "DeepProtect: Proactive Face-Swapping Defense using Identity Blending and Attribute Distortion," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (Accepted)
(*These authors contributed equally.)
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Seung-hyeok Back*, Eungi Lee*, Hyung-Il Kim, and Seok Bong Yoo, "Latent-RAG: Identity Retrieval-Guided Latent Augmentation for Privacy-Preserving Person Re-Identification," IEEE International Conference on Robotics and Automation (ICRA), 2026. (Accepted)
(*These authors contributed equally.)
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Youngmin Oh, Hyung-Il Kim, and Jung Uk Kim, "Task Prototype-based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data," AAAI Conference on Artificial Intelligence (AAAI), 2026. [Paper]
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Seongyeop Kim, Hyung-Il Kim, and Yong Man Ro, "Adaptive Integration of Textual Context and Visual Embeddings for Underrepresented Vision Classification," Pattern Recognition, vol. 172, Part A, pp. 112420, 2026. [Paper]
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Minsu Kim, Hyung-Il Kim, and Yong Man Ro, "Prompt Tuning of Deep Neural Networks for Speaker-Adaptive Visual Speech Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 47, no. 2, pp. 1042-1055, 2025. [Paper]
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Sangmin Lee, Hyung-Il Kim, and Yong Man Ro, "Text-Guided Distillation Learning to Diversify Video Embeddings for Text-Video Retrieval," Pattern Recognition (PR), vol. 156, pp. 110754, 2024. [Paper]
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Youngmin Oh, Hyung-Il Kim, Seong Tae Kim, and Jung Uk Kim, "MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection," European Conference on Computer Vision (ECCV), 2024. [Paper] [Supp] [GitHub] [Poster]
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Hyung-Il Kim*, Kimin Yun*, Jun-Seok Yun, and Yuseok Bae, "Task-Specific Adaptation of Segmentation Foundation Model via Prompt Learning," European Conference on Computer Vision (ECCV) Workshops, 2024. [Paper]
(*These authors contributed equally.)
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Sooyoung Jang and Hyung-Il Kim, "Efficient Deep Reinforcement Learning under Task Variations via Knowledge Transfer for Drone Control," ICT Express (ICTE), vol. 10, no. 3, pp. 576-582, 2024. [Paper]
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Seongyeop Kim, Hyung-Il Kim, and Yong Man Ro, "Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge," AAAI Conference on Artificial Intelligence (AAAI), 2024. [Paper]
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Jun-Seok Yun, Min Hyuk Kim, Hyung-Il Kim, and Seok Bong Yoo, "Kernel Adaptive Memory Network for Blind Video Super-Resolution," Expert Systems with Applications (ESWA), vol. 238, pp. 122252, 2024. [Paper] [GitHub]
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Enki Cho, Minkuk Kim, Hyung-Il Kim, Jinyoung Moon, and Seong Tae Kim, "Exploiting Recollection Effects for Memory-based Video Object Segmentation," Image and Vision Computing (IMAVIS), vol. 140, pp. 104866, 2023. [Paper]
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Minho Park, Hyung-Il Kim, Hwa Jeon Song, and Dong-oh Kang, "Augmenting Features via Contrastive Learning-based Generative Model for Long-Tailed Classification," IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2023. [Paper]
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Kimin Yun, Hyung-Il Kim, Kangmin Bae, and Jinyoung Moon, "Background Memory-Assisted Zero-Shot Video Object Segmentation for Unmanned Aerial and Ground Vehicles," ETRI Journal, vol. 45, no. 3, pp. 795-910, 2023. [Paper]
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Kangmin Bae, Hyung-Il Kim, Yongjin Kwon, and Jinyoung Moon, "Unsupervised Bidirectional Style Transfer Network using Local Feature Transform Module," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022. [Paper]
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Jung Uk Kim, Hyung-Il Kim, and Yong Man Ro, "Stereoscopic Vision Recalling Memory for Monocular 3D Object Detection," IEEE Transactions on Image Processing (TIP), vol. 32, pp. 2749-2760, 2023. [Paper]
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Sooyoung Jang and Hyung-Il Kim, "Supervised Pre-Training for Improved Stability in Deep Reinforcement Learning," ICT Express (ICTE), vol. 9, no. 1, pp. 51-56, 2023. [Paper]
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Hyung-Il Kim, Kimin Yun, and Yong Mn Ro, "Face Shape-Guided Deep Feature Alignment for Face Recognition Robust to Face Misalignment," IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM), vol. 4, no. 4, pp. 556-569, 2022. [Paper]
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Youngwan Lee, Joong-won Hwang, Hyung-Il Kim, Kimin Yun, Yongjin Kwon, Yuseok Bae, and Sung Ju Hwang, "Localization Uncertainty Estimation for Anchor-Free Object Detection," European Conference on Computer Vision (ECCV) Workshops, 2022. [Paper] [GitHub]
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Sooyoung Jang and Hyung-Il Kim, "Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning," Sensors, vol. 22, no. 15, pp. 5845, 2022. [Paper]
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Jun-Seok Yun, Youngju Na, Hee Hyeon Kim, Hyung-Il Kim, and Seok Bong Yoo, "HAZE-Net: High-Frequency Attentive Super-Resolved Gaze Estimation in Low-Resolution Face Images," Asian Conference on Computer Vision (ACCV), 2022. [Paper] [Supp] [GitHub]
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Sangmin Lee, Hyung-Il Kim, and Yong Man Ro, "Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [Paper] [Supp]
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Youngwan Lee, Hyung-Il Kim, Kimin Yun, and Jinyoung Moon, "Diverse Temporal Aggregation and Depthwise Spatiotemporal Factorization for Efficient Video Classification," IEEE Access, vol. 9, pp. 163054-163064, 2021. [Paper][GitHub]
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Kimin Yun, Hyung-Il Kim, Kangmin Bae, and Jongyoul Park, "Unsupervised Moving Object Detection through Background Models for PTZ Camera," International Conference on Pattern Recognition (ICPR), 2021. [Paper]
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Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, and Yong Man Ro, "Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [Paper][Supp][GitHub]
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Hyung-Il Kim and Seok Bong Yoo, "Trends in Super-High-Definition Imaging Techniques based on Deep Neural Networks," Mathematics, vol. 8, no. 11, pp. 1907, 2020. [Paper]
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Kangmin Bae*, Kimin Yun*, Hyung-Il Kim, Youngwan Lee, and Jongyoul Park, "Anti-Litter Surveillance based on Person Understanding via Multi-Task Learning," British Machine Vision Conference (BMVC), 2020. [Paper]
(*These authors contributed equally.)
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Jinhyeok Jang, Dae Hoe Kim, Hyung-Il Kim, and Yong Man Ro, "Color Channel-Wise Recurrent Learning for Facial Expression Recognition," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017. [Paper]
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Jeong-Jik Seo, Hyung-Il Kim, Wesley De Neve, and Yong Man Ro, "Effective and Efficient Human Action Recognition using Dynamic Frame Skipping and Trajectory Rejection," Image and Vision Computing (IMAVIS), vol. 58, pp. 76-85, 2017. [Paper]
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Hyung-Il Kim and Yong Man Ro, "Collaborative Facial Color Feature Learning of Multiple Color Spaces for Face Recognition," IEEE International Conference on Image Processing (ICIP), 2016. [Paper]
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Yeoreum Choi, Hyung-Il Kim, and Yong Man Ro, “Two-Step Learning of Deep Convolutional Neural Network for Discriminative Face Recognition under Varying Illumination,” IS&T Electronic Imaging (EI), 2016. [Paper]
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Hyung-Il Kim, Seung Ho Lee, and Yong Man Ro, “Low-Power Face Detection for Smart Camera,” Theory and Applications of Smart Cameras, pp. 139-155, 2016. [Paper]
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Jeong-Jik Seo*, Hyung-Il Kim*, and Yong Man Ro, “Pose-Robust and Discriminative Feature Representation by Multi-Task Deep Learning for Multi-View Face Recognition,” IEEE International Symposium on Multimedia (ISM), 2015. [Paper]
(*These authors contributed equally.)
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Hyung-Il Kim, Seung Ho Lee, and Yong Man Ro, "Multispectral Texture Features from Visible and Near-Infrared Synthetic Face Images for Face Recognition," IEEE International Symposium on Multimedia (ISM), 2015. [Paper]
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Hyung-Il Kim, Seung Ho Lee, and Yong Man Ro, "Face Image Assessment Learned with Objective and Relative Face Image Qualities for Improved Face Recognition," IEEE International Conference on Image Processing (ICIP), 2015. [Paper]
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Hyung-Il Kim, Jae Young Choi, Seung Ho Lee, and Yong Man Ro, "Feature Scalability for a Low Complexity Face Recognition with Unconstrained Spatial Resolution," Multimedia Tools and Applications (MTAP), vol. 75, no. 12, pp. 6887-6908, 2015. [Paper]
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Jeong-Jik Seo, Wissam J. Baddar, Hyung-Il Kim, and Yong Man Ro, "High-Speed Periodic Motion Reconstruction using an Off-The-Shelf Camera with Compensation for Rolling Shutter Effect," Pacific Rim Conference on Multimedia (PCM), 2015. [Paper]
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Jeong-Jik Seo, Jisoo Son, Hyung-Il Kim, Wesley De Neve, and Yong Man Ro, "Efficient and Effective Human Action Recognition in Video through Motion Boundary Description with a Compact Set of Trajectories," IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2015. [Paper]
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Hyung-Il Kim, Seung Ho Lee, and Yong Man Ro, "Investigating Cascaded Face Quality Assessment for Practical Face Recognition System," IEEE International Symposium on Multimedia (ISM), 2014. [Paper]
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Hyung-Il Kim, Seung Ho Lee, and Yong Man Ro, "Adaptive Feature Extraction for Blurred Face Images in Facial Expression Recognition," IEEE International Conference on Image Processing (ICIP), 2014. [Paper]
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Hyung-Il Kim, Seung Ho Lee, Jung Ik Moon, Hyun-Sang Park, and Yong Man Ro, "Face Detection for Low Power Event Detection in Intelligent Surveillance System," IEEE International Conference on Digital Signal Processing (DSP), 2014. [Paper]
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Seung Ho Lee, Hyung-Il Kim, Yong Man Ro, and Konstantinos N. Plataniotis, "Using Color Texture Sparsity for Facial Expression Recognition," IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2013. [Paper]
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Seung Ho Lee, Hyung-Il Kim, and Yong Man Ro, "A Comparative Study of Color Texture Features for Face Analysis," International Workshop on Computational Color Imaging (CCIW), 2013. [Paper]
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