Conference
Conference
Conference Papers
Conference Papers
- Weakly Supervised Semantic Segmentation for Driving Scenes
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
- Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels
The 38th Annual AAAI Conference on Artificial Intelligence Workshops on The 3rd Edge Intelligence Workshop on Large Language and Vision Models (AAAIW), 2024
- Precision matters: Precision-aware ensemble for weakly supervised semantic segmentation
The 38th Annual AAAI Conference on Artificial Intelligence Workshops on The 3rd Edge Intelligence Workshop on Large Language and Vision Models (AAAIW), 2024
- Local Expert Diffusion Models for Efficient Training in Denoising Diffusion Probabilistic Models
The 38th Annual AAAI Conference on Artificial Intelligence Workshops on Sustainable AI (AAAIW), 2024
- TADA: Timestep-Aware Data Augmentation for Diffusion Models
Neural Information Processing Systems Workshop on Diffusion Models (NeurIPSW), 2023
- F2RPC: Fake to Real Portrait Control from a Virtual Character
IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2023
- Long-tail Mixup for Extreme Multi-label Classification
ACM International Conference on Information & Knowledge Management (CIKM), 2022
- Logit Mixing Training for More Reliable and Accurate Prediction
International Joint Conference on Artificial Intelligence (IJCAI), 2022
- Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
- Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
- Learning from Better Supervision: Self-distillation for Learning with Noisy Labels
International Conference on Pattern Recognition (ICPR), 2022
- S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks
- Rethinking the Truly Unsupervised Image-to-Image Translation
International Conference on Computer Vision (ICCV), 2021.
- Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
International Conference on Computer Vision (ICCV), 2021.
MGGAN: Solving Mode Collapse using Manifold-guided Training
International Conference on Computer Vision Workshop on More Exploration, Less Exploitation (MELEX) (ICCVW), 2021.
- Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation
S Lee*, M Lee*, J Lee, H Shim (* indicates an equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 - Session-aware Linear Item-Item Models for Session-based Recommendation
M Choi, J Kim, J Lee, H Shim and J Lee
The Web Conference (WWW), 2021 - Few-shot Font Generation with Localized Style Representations and Factorization
S Park*, S Chun*, J Cha, B Lee, H Shim
- Evaluating Weakly Supervised Object Localization Methods Right
J Choe*, S J Oh*, S Lee, S Chun, Z Akata, H Shim. (* indicates an equal contribution)
- Diversity Regularized Autoencoders for Text Generation
H Ko, J Lee, J Kim, J Lee, H Shim
- PsyNet: Self-supervised Object Localization using Point Symmetric Transformation
K Baek*, M H Lee*, H Shim (* indicates an equal contribution)
- Collaborative Distillation for Top-N Recommendation
J Lee, M Choi, J Lee, and H Shim
- CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
S Yun, D Han, S J Oh, S Chun, J Choe, Y Yoo.
- Attention-based Dropout Layer for Weakly Supervised Object Localization
J Choe, H Shim
- An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
S Chun, S J Oh, S Yun, D Han, J Choe, Y Yoo.
- Dual Neural Personalized Ranking
S Kim, J Lee, H Shim
- Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera using Deep Residual Networks
S Song, H Shim
- Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously
K Baek, D Bang, H Shim
- Face Generation for Low-shot Learning using Generative Adversarial Networks
J Choe*, S Park*, K Kim*, J Park*, D Kim*, H Shim
- Data-driven Approach to Aesthetic Enhancement
J Choi, S Koh, J Kwack, Y Kwon, H Shim
- Developing a Visual Stopping Criterion for Image Mosaicing using Invariant Color Histograms
A Elibol, H Shim
- Inverse Lighting for Non-homogeneous Objects from Color and Depth Image using Wavelet Representation
J Choe, H Shim
- Estimating All Frequency Lighting using a Color/Depth Image
H Shim
- An Example-based Face Relighting
- Automatic Color Realism Enhancement for Virtual Reality
- Light Weight Multiview Capturing
H Shim, T Chen, S Lee, JD Kim, C Kim
- A Probabilistic Approach to Realistic Face Synthesis
H Shim, I Ha, T Rhee, JD Kim, C Kim
- A Statistical Framework for Image-based Relighting
H Shim, T Chen