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Gyeong-Moon Park

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

17

papers

200

total citations

papers (17)

Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners

LINe: Out-of-Distribution Detection by Leveraging Important Neurons

Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning

LFS-GAN: Lifelong Few-Shot Image Generation

Open-Set Domain Adaptation for Semantic Segmentation

Generative Unlearning for Any Identity

IntereStyle: Encoding an Interest Region for Robust StyleGAN Inversion

Multispectral Pedestrian Detection with Sparsely Annotated Label

Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability

Universal Domain Adaptation for Semantic Segmentation

GeoAvatar: Adaptive Geometrical Gaussian Splatting for 3D Head Avatar

ESC: Erasing Space Concept for Knowledge Deletion

Disentangled Concepts Speak Louder Than Words: Explainable Video Action Recognition

NEURIPS 2025arXiv

Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models

NEURIPS 2025arXiv

SFUOD: Source-Free Unknown Object Detection

ConceptSplit: Decoupled Multi-Concept Personalization of Diffusion Models via Token-wise Adaptation and Attention Disentanglement

ESSENTIAL: Episodic and Semantic Memory Integration for Video Class-Incremental Learning