Journals
Journals
Journals
Journals
- 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
- F2RPC: Fake to Real Portrait Control from a Virtual Character
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 Localization
- Your Lottery Ticket is Damaged: Towards All-Alive Pruning for Extremely Sparse Networks
- Utilization of an Attentive Map to Preserve Anatomical Features for Training Convolutional Neural Network based Low-dose CT Denoiser.
M Han, H Shim, J Baek
- CoMix: Collaborative Filtering with Mixup for Implicit Datasets
J Moon, Y Jeong, D-K Chae, J Choi, H Shim, J Lee
- 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 representation
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
Knowledge and Information Systems (KAIS), 2021.
- Distilling from Professors: Enhancing the Knowledge Distillation of Teachers
Information Sciences, 2021.
- Low Dose CT Denoising via Convolutional Neural Network with an Observer Loss Function
Medical Physics (MP), 2021.
- Weakly-Supervised Progressive Denoising with Unpaired CT Images
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. Rigid and non-rigid motion artifact reduction in X-ray CT using attention module
- GridMix: Strong Regularization Through Local Context Mapping
- Attention-based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation
- Discriminator Feature-based Inference by Recycling the Discriminator of GANs
- A convolutional neural network‐based model observer for breast CT images
- A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT images
- Semantic-Aware Neural Style Transfer
- Robust approach to inverse lighting using RGB-D images
- Robust approach to reconstructing transparent objects using a time-of-flight depth camera
- Online underwater optical mapping for trajectories with gaps
- Skewed stereo time-of-flight camera for translucent object imaging