← Authors

Jaegul Choo

125 papers · 2017–2026 · 19 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (19) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (13) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (16) πŸ† Keyword Champion (2) πŸ’Ž Century Club (123) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) πŸ—ƒοΈ Keyword Collector (471) ❓ The Questioner ⚑ Prolific Year (5) πŸš€ Conference Pioneer

Conferences

EMNLP (15) CVPR (15) ACL (13) ICCV (12) ECCV (11) NIPS (10) AAAI (10) WACV (8) ICLR (7) ICML (6) IJCNLP (6) IJCAI (3) AACL (2) NAACL (2) EACL (1) COLING (1) ACML (1) MLHC (1) UAI (1)

Top co-authors

ChaeHun Park (12) Sunghyun Park (11) Soyoung Yang (10) Hojoon Lee (10) Junha Hyung (8) Hyesu Lim (8) Edward Choi (8) Minseok Choi (8) Jooyeol Yun (7) Donghu Kim (6)

Research topics

Techniques (1) Linguistics (1)

Keywords

domain adaptation (10) diffusion model (10) large language model (9) image generation (9) semantic segmentation (5) data augmentation (5) test-time adaptation (4) image colorization (4) neural network (4) generative adversarial network (4) neural machine translation (4) neural radiance field (4) image-to-image translation (4) unsupervised learning (4) machine translation (4) dialogue system (4) knowledge distillation (3) image synthesis (3) zero-shot learning (3) reinforcement learning (3)

Papers

SphereDiff: Tuning-free 360Β° Static and Dynamic Panorama Generation via Spherical Latent Representation AAAI 2026
Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals AAAI 2026
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration ACL 2025
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL 2025
Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models ACL 2025
To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems ACL 2025
Exploring In-context Example Generation for Machine Translation ACL 2025
Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention CVPR 2025
Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects WACV 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning ICML 2025
SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars ICLR 2025
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning ICLR 2025
Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation NAACL 2025
Sparse autoencoders reveal selective remapping of visual concepts during adaptation ICLR 2025
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer AAAI 2025
Enabling Region-Specific Control via Lassos in Point-Based Colorization AAAI 2025
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask ICCV 2025
Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention ICCV 2025
The Comparative Trap: Pairwise Comparisons Amplifies Biased Preferences of LLM Evaluators EMNLP 2025
Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts EMNLP 2025
Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information EMNLP 2025
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs EMNLP 2025
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling CVPR 2025
Zero-Shot Head Swapping in Real-World Scenarios CVPR 2025
Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation WACV 2025
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection AAAI 2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models NIPS 2024
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NIPS 2024
Do's and Don'ts: Learning Desirable Skills with Instruction Videos NIPS 2024
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting NIPS 2024
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds AAAI 2024
MagiCapture: High-Resolution Multi-Concept Portrait Customization AAAI 2024
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering ACL 2024
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models ACL 2024
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On CVPR 2024
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair CVPR 2024
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data ECCV 2024
Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization ECCV 2024
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors ECCV 2024
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder ECCV 2024
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models ECCV 2024
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision ECCV 2024
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling EMNLP 2024
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models EMNLP 2024
Self-Supervised Contrastive Learning for Long-term Forecasting ICLR 2024
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control ICML 2024
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning ICML 2024
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks ICML 2024
Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images WACV 2024
LensNeRF: Rethinking Volume Rendering Based on Thin-Lens Camera Model WACV 2024
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration IJCNLP 2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation ICLR 2023
Towards Physically Reliable Molecular Representation Learning UAI 2023
iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer WACV 2023
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization ICCV 2023
3D-Aware Generative Model for Improved Side-View Image Synthesis ICCV 2023
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis ICCV 2023
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields ICCV 2023
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation ICCV 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts ICCV 2023
Shortcut-V2V: Compression Framework for Video-to-Video Translation Based on Temporal Redundancy Reduction ICCV 2023
Learning to Diversify Neural Text Generation via Degenerative Model AACL 2023
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration AACL 2023
Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation WACV 2023
Revisiting the Importance of Amplifying Bias for Debiasing AAAI 2023
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation ACL 2023
Local 3D Editing via 3D Distillation of CLIP Knowledge CVPR 2023
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning ICML 2023
Learning to Discover Skills through Guidance NIPS 2023
PePe: Personalized Post-editing Model utilizing User-generated Post-edits EACL 2023
Learning to Diversify Neural Text Generation via Degenerative Model IJCNLP 2023
SimCKP: Simple Contrastive Learning of Keyphrase Representations EMNLP 2023
Towards Formality-Aware Neural Machine Translation by Leveraging Context Information EMNLP 2023
AniEE: A Dataset of Animal Experimental Literature for Event Extraction EMNLP 2023
Guiding Users to Where To Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization WACV 2023
CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-Aware Image Synthesis WACV 2023
HistRED: A Historical Document-Level Relation Extraction Dataset ACL 2023
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints ACL 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning NIPS 2023
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting NIPS 2022
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment ECCV 2022
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment ECCV 2022
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions ECCV 2022
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model EMNLP 2022
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task EMNLP 2022
Mining Multi-Label Samples from Single Positive Labels NIPS 2022
Towards Accurate Open-Set Recognition via Background-Class Regularization ECCV 2022
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition NIPS 2022
Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity COLING 2022
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift ICLR 2022
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning IJCNLP 2021
Knowledge Graph-based Question Answering with Electronic Health Records MLHC 2021
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation NAACL 2021
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain EMNLP 2021
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations EMNLP 2021
Learning to Generate Questions by Learning to Recover Answer-containing Sentences ACL 2021
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images ACL 2021
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning ACL 2021
Deep Edge-Aware Interactive Colorization Against Color-Bleeding Effects ICCV 2021
BiaSwap: Removing Dataset Bias With Bias-Tailored Swapping Augmentation ICCV 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation ICCV 2021
Learning Debiased Representation via Disentangled Feature Augmentation NIPS 2021
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation AAAI 2021
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images IJCNLP 2021
Learning to Generate Questions by Learning to Recover Answer-containing Sentences IJCNLP 2021
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening CVPR 2021
Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction CVPR 2021
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization CVPR 2021
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021
Exploring Unlabeled Faces for Novel Attribute Discovery CVPR 2020
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence CVPR 2020
NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension ICLR 2020
Learning De-biased Representations with Biased Representations ICML 2020
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks CVPR 2020
Paraphrase Diversification Using Counterfactual Debiasing AAAI 2019
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation CVPR 2019
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks CVPR 2019
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions EMNLP 2019
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions IJCNLP 2019
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation IJCAI 2018
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation CVPR 2018
Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation ECCV 2018
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller EMNLP 2018
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization IJCAI 2017
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks IJCAI 2017