Taesup Moon

Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range Dynamics Modeling? CVPR 2026 PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation ACL 2026 An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval ICCV 2025 DoMIX: An Efficient Framework for Exploiting Domain Knowledge in Fine-Tuning ACL 2025 MA-CIR: A Multimodal Arithmetic Benchmark for Composed Image Retrieval ICCV 2025 Multi-Group Proportional Representations for Text-to-Image Models CVPR 2025 Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline ICLR 2025 TLDR: Text Based Last-Layer Retraining for Debiasing Image Classifiers WACV 2025 Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline ICLR 2024 Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study NeurIPS 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024 Listwise Reward Estimation for Offline Preference-based Reinforcement Learning ICML 2024 MAFA: Managing False Negatives for Vision-Language Pre-training CVPR 2024 NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV 2024 Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning ICML 2024 Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023 Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization ICLR 2023 SwiFT: Swin 4D fMRI Transformer NeurIPS 2023 Towards More Robust Interpretation via Local Gradient Alignment AAAI 2023 Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks NeurIPS 2022 GRIT-VLP: Grouped Mini-Batch Sampling for Efficient Vision and Language Pre-training ECCV 2022 Learning Fair Classifiers With Partially Annotated Group Labels CVPR 2022 CPR: Classifier-Projection Regularization for Continual Learning ICLR 2021 Fair Feature Distillation for Visual Recognition CVPR 2021 FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise CVPR 2021 GAN2GAN: Generative Noise Learning for Blind Denoising with Single Noisy Images ICLR 2021 SS-IL: Separated Softmax for Incremental Learning ICCV 2021 SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning NeurIPS 2021 Continual Learning with Node-Importance based Adaptive Group Sparse Regularization NeurIPS 2020 Iterative Channel Estimation for Discrete Denoising under Channel Uncertainty UAI 2020 Unsupervised Neural Universal Denoiser for Finite-Input General-Output Noisy Channel AISTATS 2020 DoPAMINE: Double-Sided Masked CNN for Pixel Adaptive Multiplicative Noise Despeckling AAAI 2019 Fooling Neural Network Interpretations via Adversarial Model Manipulation NeurIPS 2019 Fully Convolutional Pixel Adaptive Image Denoiser ICCV 2019 Subtask Gated Networks for Non-Intrusive Load Monitoring AAAI 2019 Uncertainty-based Continual Learning with Adaptive Regularization NeurIPS 2019 Neural Universal Discrete Denoiser NeurIPS 2016