Conference

Conference Papers

  • Weakly Supervised Semantic Segmentation for Driving Scenes
D Kim*, S Lee*, J Choe, H Shim (* indicates an equal contribution)
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
  • Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels
S Lee*, S Kang*, H Shim (* indicates an equal contribution)
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
J Park, H Shim
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
S Kang*, Y Jung*, H Shim (* indicates an equal contribution)
The 38th Annual AAAI Conference on Artificial Intelligence Workshops on Sustainable AI (AAAIW), 2024
  • TADA: Timestep-Aware Data Augmentation for Diffusion Models
N Park*, K Kim*, S Park, J Ha, H Shim (* indicates an equal contribution)
Neural Information Processing Systems Workshop on Diffusion Models (NeurIPSW), 2023
  • F2RPC: Fake to Real Portrait Control from a Virtual Character 
S Kang, M Kim, H Shim
IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), 2023
  • Long-tail Mixup for Extreme Multi-label Classification 
S Han, E Choi, C Lim, J Lee, H Shim, J Lee
ACM International Conference on Information & Knowledge Management (CIKM), 2022
  • Logit Mixing Training for More Reliable and Accurate Prediction
D Bang*, K Baek*, J Kim, Y Jeon, JH Kim, J kim, J Lee, H Shim (* indicates an equal contribution)
International Joint Conference on Artificial Intelligence (IJCAI), 2022
  • Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data
K Baek, H Shim
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
M Lee*, D Kim*, H Shim (* indicates an equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  • Learning from Better Supervision: Self-distillation for Learning with Noisy Labels
K Baek*, S Lee*, H Shim (* indicates an equal contribution)
International Conference on Pattern Recognition (ICPR), 2022
  • S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks
M Choi, J Kim, J Lee, H Shim, J Lee International Conference on Web Search and Data Mining (WSDM), 2022. (Accepted)
  • Rethinking the Truly Unsupervised Image-to-Image Translation
K Baek, Y Choi, Y Uh, J Yoo, H Shim
International Conference on Computer Vision (ICCV), 2021.
  • Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
S Park, S Chun, J Cha, B Lee, H Shim
International Conference on Computer Vision (ICCV), 2021.
D Bang, H Shim
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
Association for the Advancement of Artificial Intelligence (AAAI), 2021IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2021
  • Evaluating Weakly Supervised Object Localization Methods Right
    J Choe*, S J Oh*, S Lee, S Chun, Z Akata, H Shim. (* indicates an equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
  • Diversity Regularized Autoencoders for Text Generation
    H Ko, J Lee, J Kim, J Lee, H Shim
35th ACM/SIGAPP Symposium on Applied Computing (SAC), 2020
  • PsyNet: Self-supervised Object Localization using Point Symmetric Transformation
    K Baek*, M H Lee*, H Shim (* indicates an equal contribution)
Association for the Advancement of Artificial Intelligence (AAAI), 2020
  • Collaborative Distillation for Top-N Recommendation
    J Lee, M Choi, J Lee, and H Shim
IEEE International Conference on Data Mining (ICDM), Oral presentation, 2019
  • CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
    S Yun, D Han, S J Oh, S Chun, J Choe, Y Yoo.
International Conference on Computer Vision (ICCV), Oral presentation, 2019
  • Attention-based Dropout Layer for Weakly Supervised Object Localization
    J Choe, H Shim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral presentation, 2019
  • An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
    S Chun, S J Oh, S Yun, D Han, J Choe, Y Yoo.
International Conference on Machine Learning Workshop (ICMLW), 2019
  • Dual Neural Personalized Ranking
    S Kim, J Lee, H Shim
The Web Conference 2019 (WWW), Oral presentation, 2019Asian Conference on Computer Vision (ACCV), 2018Asian Conference on Computer Vision (ACCV), Oral presentation, 2018British Machine Vision Conference (BMVC), 2018 D Bang, H Shim IEEE International Conference on Machine Learning (ICML), 2018 
  • Face Generation for Low-shot Learning using Generative Adversarial Networks
    J Choe*, S Park*, K Kim*, J Park*, D Kim*, H Shim 
IEEE International Conference on Computer Vision Workshop (ICCVW), 2017
  • Data-driven Approach to Aesthetic Enhancement
    J Choi, S Koh, J Kwack, Y Kwon, H Shim 
Electronic Imaging,  2016
  • Developing a Visual Stopping Criterion for Image Mosaicing using Invariant Color Histograms
    A Elibol, H Shim 
Pacific Rim Conference on Multimedia, 2015IS&T/SPIE Electronic Imaging, 2015 D Bang, H Shim IS&T/SPIE Electronic Imaging, 2015Y Ko, J Baek, H Shim IS&T/SPIE Electronic Imaging, 2015
  • Estimating All Frequency Lighting using a Color/Depth Image
    H Shim
IEEE International Conference on Image Processing (ICIP), 2012
  • An Example-based Face Relighting
H Shim, T Chen Proceedings of SPIE, 2012
  • Automatic Color Realism Enhancement for Virtual Reality
H Shim, S Lee IEEE Virtual Reality (IEEE VR), 2012
  • Light Weight Multiview Capturing
    H Shim, T Chen, S Lee, JD Kim, C Kim 
IEEE Consumer Communications and Networking Conference (CCNC), 2012
  • A Probabilistic Approach to Realistic Face Synthesis
    H Shim, I Ha, T Rhee, JD Kim, C Kim
IEEE International Conference on Image Processing (ICIP), 2010IEEE Computer Vision and Pattern Recognition Workshop (CVPRW), 2006IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2005Proc. Picture coding symposium (PCS), 2004