Locally Conditioned GANs: Self-supervised Local Patch Representation Learning for Conditional Generation D Kim, H Shim IEEE Access, 2024 Adapting Low-Dose CT Denoisers for Texture Preservation using Zero-Shot Local Noise-level Matching Y Ko*, S Song*, J Baek, H Shim (* indicates an equal contribution)Medical Physics (MP), 2024 F2RPC: Fake to Real Portrait Control from a Virtual Character S Kang, M Kim, H Shim IEEE Access, 2023. Saliency as Pseudo-pixel Supervision for Weakly and Semi-supervised Semantic Segmentation M Lee*, S Lee*, J Lee, H Shim (* indicates an equal contribution) (* indicates an equal contribution) IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023. HybridMatch: Semi-supervised Facial Landmark Detection via Hybrid Heatmap Representations S Kang*, M Lee*, M Kim, H Shim (* indicates an equal contribution) IEEE Access, 2023. Entropy Regularization for Weakly Supervised Object LocalizationD Hwang, J-W. Ha, H Shim, J ChoePattern Recognition Letters (2023) Your Lottery Ticket is Damaged: Towards All-Alive Pruning for Extremely Sparse NetworksD Kim, M Kim, H Shim, J LeeInformation Sciences (IS), 2023. Utilization of an Attentive Map to Preserve Anatomical Features for Training Convolutional Neural Network based Low-dose CT Denoiser. M Han, H Shim, J BaekMedical Physics (MP), 2023 CoMix: Collaborative Filtering with Mixup for Implicit Datasets J Moon, Y Jeong, D-K Chae, J Choi, H Shim, J LeeInformation Sciences (IS), 2023. Few-shot Font Generation with Weakly Supervised Localized Representations S Park*, S Chun*, S Lee, J Cha, B Lee, H Shim (* indicates an equal contribution) IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2022. A streak artifact reduction algorithm in sparse-view CT using a self-supervised neural representationB Kim, H Shim, J Baek Medical Physics (MP), 2022. Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser M Han, H Shim, J Baek IEEE Access, 2022. Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets J Choe*, S-J Oh*, S Chun, S Lee, Z Akata, H Shim (* indicates an equal contribution) IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2023. Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation J-W Lee, M Choi, S Lee, H Shim, J Lee Knowledge and Information Systems (KIS), 2022. Two-phase Learning-based 3D Deblurring Method for Digital Breast Tomosynthesis Images Y Choi, M Han, H Jang, H Shim, J Baek Plos One, 2022. Knowledge Distillation Meets Recommendation: Collaborative Distillation for Top-N Recommendation J Lee, M Choi, H Shim, J Lee Knowledge and Information Systems (KAIS), 2021. Distilling from Professors: Enhancing the Knowledge Distillation of TeachersD Bang, J Lee and H Shim Information Sciences, 2021. Low Dose CT Denoising via Convolutional Neural Network with an Observer Loss FunctionM Han , H Shim, J Baek Medical Physics (MP), 2021. Weakly-Supervised Progressive Denoising with Unpaired CT ImagesB Kim, H Shim, J Baek Medical Image Analysis (MEDIA), 2021. Region-based Dropout with Attention Prior for Weakly Supervised Object Localization J Choe, D Han, S Yun, J Ha, S Oh, H Shim Pattern recognition (PR), 2021.
Y Ko, SMoon, J Baek, H ShimMedical Image Analysis, 2020 GridMix: Strong Regularization Through Local Context Mapping K Baek*, D Bang*, H Shim. (* indicates an equal contribution) Pattern Recognition (PR), 2020 Attention-based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation J Choe*, S Lee*, and H Shim. (* indicates an equal contribution) IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Discriminator Feature-based Inference by Recycling the Discriminator of GANs D Bang*, S Kang*, H Shim (* indicates an equal contribution) International Journal of Computer Vision, 2020 A convolutional neural network‐based model observer for breast CT imagesG Kim, M Han, H Shim, J BaekMedical Physics, 2020A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT imagesB Kim, M Han, H Shim, J BaekMedical Physics, 2019 Semantic-Aware Neural Style TransferJ Park*, S Park*, H Shim (* indicates an equal contribution) Image and Vision Computing, 2019 Robust approach to inverse lighting using RGB-D imagesJ Choe, H ShimInformation Sciences, 2018 Robust approach to reconstructing transparent objects using a time-of-flight depth cameraK Kim, H ShimOptics Express, 2017 Recovering translucent object using a single time-of-flight depth cameraH Shim, S LeeIEEE Transactions on Circuit and Systems for Video Technology, (TCSVT) 2016 Online underwater optical mapping for trajectories with gapsA Elibol, H Shim, S Hong, J Kim, N Gracias, R GarciaIntelligent Service Robotics, 2016 Skewed stereo time-of-flight camera for translucent object imagingS Lee, H Shim Image and Vision Computing (IVC), 2015 Hybrid exposure for depth imaging of a time-of-flight depth sensorH Shim, S Lee Optics Express, 2014 Automatic color realism enhancement for computer generated imagesH Shim, S LeeElsevier Computers & Graphics (C&V), 2012 Performance evaluation of time-of-flight and structured light depth sensors in radiometric/geometric variationsH Shim, S Lee Optical Engineering, 2012 Faces as light probes for relightingH ShimOptical Engineering, 2012 A probabilistic approach to realistic face synthesis with a single uncalibrated imageH ShimIEEE Transactions on Image Processing (TIP), 2012 Time-of-flight sensor and color camera calibration for multi-view acquisitionH Shim, R Adelsberger, JD Kim, SM Rhee, T Rhee, JY Sim, M Gross, C Kim The Visual Computer, 2012 A subspace model-based approach to face relighting under unknown lighting and posesH Shim, J Luo, T Chen IEEE Transactions on Image Processing (TIP), 2008