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Conferences
Jaegul Choo
57 papers at tracked venues · 43 at CORE A* · active 2024–2026
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ORCID 0000-0003-1071-4835 ↗
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Venues
ACL
×10
AAAI
×7
NeurIPS
×7
ECCV
×6
CVPR
×5
EMNLP
×5
ICLR
×4
ICML
×4
ICCV
×2
WACV
×2
ACM MM
×1
CHI
×1
NAACL
×1
SIGIR
×1
UIST
×1
Frequent coauthors
Junwoo Park
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ChaeHun Park
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Hojoon Lee
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Jeongho Kim
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Junha Hyung
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Kyudan Jung
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Chung Park
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Kyungmin Jo
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Dohyun Lee
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Jeonghoon Park
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Minseok Choi
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×2
Daehoon Gwak
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Papers
Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method
ACL 2026
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Taehee Kim
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Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models
ACL 2026
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Kyudan Jung
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SphereDiff: Tuning-free 360° Static and Dynamic Panorama Generation via Spherical Latent Representation
AAAI 2026
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Minho Park
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Talk to Your Slides: High-Efficiency Slide Editing via Language-Driven Structured Data Manipulation
ACL 2026
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Kyudan Jung
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Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals
AAAI 2026
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Chung Park
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Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information
EMNLP 2025
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Hojun Cho
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ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts
NeurIPS 2025
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Jinho Choi
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Delving into Large Language Models for Effective Time-Series Anomaly Detection
NeurIPS 2025
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Junwoo Park
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Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
CVPR 2025
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Kyungmin Jo
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Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation
WACV 2025
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Seunghwan Choi
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Enabling Region-Specific Control via Lassos in Point-Based Colorization
AAAI 2025
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Sanghyeon Lee
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Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts
EMNLP 2025
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ChaeHun Park
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Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration
ACL 2025
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ChaeHun Park
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Exploring In-context Example Generation for Machine Translation
ACL 2025
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Dohyun Lee
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Fair Generation without Unfair Distortions: Debiasing Text-To-Image Generation with Entanglement-Free Attention
ICCV 2025
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Jeonghoon Park
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Hyperspherical Normalization for Scalable Deep Reinforcement Learning
ICML 2025
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Hojoon Lee
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Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport
ACL 2025
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Minseok Choi
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PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-Aware Mask
ICCV 2025
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Jeongho Kim
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Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models
ACL 2025
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Junwoo Park
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Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs
EMNLP 2025
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Daehoon Gwak
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ShoeGenAI: A Creativity Support Tool Bridging Design Intention and Feasibility in Shoe Design
UIST 2025
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Hui-Jun Kim
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ShoeGenAI: A Creativity Support Tool for High-Feasible Shoe Product Design
CHI 2025
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Hui-Jun Kim
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SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
ICLR 2025
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Hojoon Lee
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Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
NAACL 2025
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Soyoung Yang
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Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects
WACV 2025
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Kyungmin Jo
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Sparse autoencoders reveal selective remapping of visual concepts during adaptation
ICLR 2025
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Hyesu Lim
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Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling
CVPR 2025
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Junha Hyung
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SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars
ICLR 2025
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Jaeseong Lee
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Temporal In‑Context Fine‑Tuning with Temporal Reasoning for Versatile Control of Video Diffusion Models
NeurIPS 2025
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Kinam Kim
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To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems
ACL 2025
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Daniel Rim
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What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer
AAAI 2025
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Chaeyeon Chung
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Zero-Shot Head Swapping in Real-World Scenarios
CVPR 2025
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Taewoong Kang
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Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
ICML 2024
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Dongyoon Hwang
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Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation Through Collaborative Error Revision
ECCV 2024
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Jinhee Kim
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Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models
EMNLP 2024
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Minseok Choi
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Do's and Don'ts: Learning Desirable Skills with Instruction Videos
NeurIPS 2024
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Hyunseung Kim
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EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models
NeurIPS 2024
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Jinhee Kim
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Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting
NeurIPS 2024
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Junha Hyung
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Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair
CVPR 2024
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Jeonghoon Park
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Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling
EMNLP 2024
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Daehoon Gwak
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Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
ICML 2024
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Donghu Kim
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Is User Feedback Always Informative? Retrieval Latent Defending for Semi-supervised Domain Adaptation Without Source Data
ECCV 2024
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Junha Song
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MagiCapture: High-Resolution Multi-Concept Portrait Customization
AAAI 2024
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Junha Hyung
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Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation
SIGIR 2024
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Chung Park
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Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models
ACL 2024
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Dohyun Lee
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Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization
ECCV 2024
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Jooyeol Yun
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Self-Supervised Contrastive Learning for Long-term Forecasting
ICLR 2024
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Junwoo Park
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SelfSwapper: Self-supervised Face Swapping via Shape Agnostic Masked AutoEncoder
ECCV 2024
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Jaeseong Lee
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Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks
ICML 2024
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Hojoon Lee
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Stable VITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
CVPR 2024
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Jeongho Kim
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TCAN: Animating Human Images with Temporally Consistent Pose Guidance Using Diffusion Models
ECCV 2024
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Jeongho Kim
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Towards Calibrated Robust Fine-Tuning of Vision-Language Models
NeurIPS 2024
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Changdae Oh
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Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning
ACM MM 2024
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Wonwoo Cho
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Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering
ACL 2024
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ChaeHun Park
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VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting Using Learned Priors
ECCV 2024
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Sungwon Hwang
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When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection
AAAI 2024
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Dongmin Kim
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iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds
AAAI 2024
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Dongmin Choi
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