Sungroh Yoon
- Papers
- 33
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Authored papers
33Contextualized Visual Personalization in Vision-Language Models
arXiv 2026
Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization
arXiv 2026
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis
arXiv 2025
RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
arXiv 2025
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment
arXiv 2024
Disentangled Motion Modeling for Video Frame Interpolation
arXiv 2024
Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator
CVPR 2025 1
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
arXiv 2024
Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation
arXiv 2024
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach
arXiv 2024
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation
arXiv 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
arXiv 2024
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss
arXiv 2024
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
arXiv 2024
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
arXiv 2024
DAFA: Distance-Aware Fair Adversarial Training
arXiv 2024
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data
arXiv 2023
Probabilistic Concept Bottleneck Models
arXiv 2023
Improving Visual Prompt Tuning for Self-supervised Vision Transformers
arXiv 2023
BigVGAN: A Universal Neural Vocoder with Large-Scale Training
arXiv 2022
Perception Prioritized Training of Diffusion Models
CVPR 2022 1
Confidence Score for Source-Free Unsupervised Domain Adaptation
arXiv 2022
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?
CVPR 2022 1
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
CVPR 2022 1
Dataset Condensation with Contrastive Signals
arXiv 2022
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models
ICCV 2021 10
Toward Spatially Unbiased Generative Models
ICCV 2021 10
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
removing-undesirable-feature-contributions
Stein Latent Optimization for Generative Adversarial Networks
stein-latent-optimization-for-generative
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
glow-tts-a-generative-flow-for-text-to-speech-1
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity
NeurIPS 2020 12
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
adversarial-vertex-mixup-toward-better-1
FloWaveNet : A Generative Flow for Raw Audio
arXiv 2018
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