Jaegul Choo

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 277

Top Venues

CoRR

ICCV

CVPR

IEEE Trans. Vis. Comput. Graph.

Publications

ChaeHun Park, Koanho Lee, Hyesu Lim, Jaeseok Kim, Junmo Park, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering. ACL (Findings) (2024)
Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation. SIGIR (2024)
Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting. CoRR (2024)
Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation. CoRR (2024)
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo
Do's and Don'ts: Learning Desirable Skills with Instruction Videos. CoRR (2024)
Jaeseong Lee, Junha Hyung, Sohyun Jeong, Jaegul Choo
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder. CoRR (2024)
Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
Self-Supervised Contrastive Forecasting. CoRR (2024)
ChaeHun Park, Minseok Choi, Dohyun Lee, Jaegul Choo
PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison. CoRR (2024)
Hawon Jeong, ChaeHun Park, Jimin Hong, Jaegul Choo
PRePair: Pointwise Reasoning Enhance Pairwise Evaluating for Robust Instruction-Following Assessments. CoRR (2024)
Seungbin Yang, ChaeHun Park, Taehee Kim, Jaegul Choo
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions? CoRR (2024)
Minseok Choi, Kyunghyun Min, Jaegul Choo
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models. CoRR (2024)
Jinhee Kim, Taesung Kim, Jaegul Choo
Group-wise Prompting for Synthetic Tabular Data Generation using Large Language Models. CoRR (2024)
Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, Clare Lyle
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks. CoRR (2024)
Wonwoo Cho, Dongmin Choi, Hyesu Lim, Jinho Choi, Saemee Choi, Hyunseok Min, Sungbin Lim, Jaegul Choo
Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images. WACV (2024)
Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo
Expression Domain Translation Network for Cross-Domain Head Reenactment. ICASSP (2024)
Dohyun Lee, Daniel Rim, Minseok Choi, Jaegul Choo
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models. CoRR (2024)
Minseok Choi, Daniel Rim, Dohyun Lee, Jaegul Choo
SNAP: Unlearning Selective Knowledge in Large Language Models with Negative Instructions. CoRR (2024)
Dongmin Kim, Sunghyun Park, Jaegul Choo
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection. AAAI (2024)
Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning. CoRR (2024)
Kangyeol Kim, Wooseok Seo, Sehyun Nam, Bodam Kim, Suhyeon Jeong, Wonwoo Cho, Jaegul Choo, Youngjae Yu
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation. CoRR (2024)
Min-Jung Kim, Gyojung Gu, Jaegul Choo
LensNeRF: Rethinking Volume Rendering based on Thin-Lens Camera Model. WACV (2024)
Junha Hyung, Jaeyo Shin, Jaegul Choo
MagiCapture: High-Resolution Multi-Concept Portrait Customization. AAAI (2024)
Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control. CoRR (2024)
Sungwon Hwang, Min-Jung Kim, Taewoong Kang, Jayeon Kang, Jaegul Choo
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors. CoRR (2024)
Minho Park, Sunghyun Park, Jooyeol Yun, Jaegul Choo
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models. CoRR (2024)
Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, Jaegul Choo
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data. CoRR (2024)
Jeonghoon Park, Chaeyeon Chung, Juyoung Lee, Jaegul Choo
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair. CoRR (2024)
Kyeongpil Kang, Kyohoon Jin, Soojin Jang, Jaegul Choo, Youngbin Kim
See, caption, cluster: Large-scale image analysis using captioning and topic modeling. Expert Syst. Appl. 237 (Part B) (2024)
ChaeHun Park, Koanho Lee, Hyesu Lim, Jaeseok Kim, Junmo Park, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering. CoRR (2024)
Yujin Baek, ChaeHun Park, Jaeseok Kim, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration. CoRR (2024)
Dohyun Lee, Daniel Rim, Minseok Choi, Jaegul Choo
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models. ACL (Findings) (2024)
Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
Self-Supervised Contrastive Learning for Long-term Forecasting. ICLR (2024)
Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. AAAI (2024)
Jeongho Kim, Min-Jung Kim, Junsoo Lee, Jaegul Choo
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models. CoRR (2024)
Jooyeol Yun, Jaegul Choo
Scaling Up Personalized Aesthetic Assessment via Task Vector Customization. CoRR (2024)
Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo
PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction. CoRR (2023)
Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields. ICCV (2023)
Jaeseong Lee, Taewoo Kim, Sunghyun Park, Younggun Lee, Jaegul Choo
RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage. CoRR (2023)
ChaeHun Park, Seungil Lee, Daniel Rim, Jaegul Choo
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation. CoRR (2023)
Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo
Expression Domain Translation Network for Cross-domain Head Reenactment. CoRR (2023)
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning. CoRR (2023)
Dohee Kim, Yujin Baek, Soyoung Yang, Jaegul Choo
Towards Formality-Aware Neural Machine Translation by Leveraging Context Information. EMNLP (Findings) (2023)
Chaeyeon Chung, Yeojeong Park, Seunghwan Choi, Munkhsoyol Ganbat, Jaegul Choo
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction. ICCV (2023)
Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, Jaegul Choo
Local 3D Editing via 3D Distillation of CLIP Knowledge. CoRR (2023)
Jimin Hong, ChaeHun Park, Jaegul Choo
Learning to Diversify Neural Text Generation via Degenerative Model. CoRR (2023)
Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays. CoRR (2023)
Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo
HistRED: A Historical Document-Level Relation Extraction Dataset. CoRR (2023)
Hyeonju Lee, Minsu Ha, Jurim Lee, Rahmi Qurota Aini, Ai Nurlaelasari Rusmana, Yustika Sya'bandari, Jun-Ki Lee, Sein Shin, Gyeong-Geon Lee, Jaegul Choo, Sungchul Choi, Namhyoung Kim, Jisun Park
Spelling Errors in Korean Students' Constructed Responses and the Efficacy of Automatic Spelling Correction on Automated Computer Scoring. Technol. Knowl. Learn. 28 (1) (2023)
Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung-Woo Ko, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee
Towards Physically Reliable Molecular Representation Learning. UAI (2023)
Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo
CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis. WACV (2023)
Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi
Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density. ECML/PKDD (5) (2023)
Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo
HistRED: A Historical Document-Level Relation Extraction Dataset. ACL (1) (2023)
Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. CoRR (2023)
Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, Jaegul Choo
Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization. WACV (2023)
Chung Park, Taesan Kim, Taekyoon Choi, Junui Hong, Yelim Yu, Mincheol Cho, Kyunam Lee, Sungil Ryu, Hyungjun Yoon, Minsung Choi, Jaegul Choo
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation. CoRR (2023)
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model. CoRR (2023)
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo
Learning to Discover Skills through Guidance. CoRR (2023)
Jimin Hong, ChaeHun Park, Jaegul Choo
Learning to Diversify Neural Text Generation via Degenerative Model. IJCNLP (Findings) (2023)
Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo
Revisiting the Importance of Amplifying Bias for Debiasing. AAAI (2023)
Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee, Jaegul Choo
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal. CIKM (2023)
Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Lee, Jaegul Choo
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal. CoRR (2023)
Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. ICCV (2023)
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning. NeurIPS (2023)
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. CoRR (2023)
Yujin Baek, Koanho Lee, Dayeon Ki, Cheonbok Park, Hyoung-Gyu Lee, Jaegul Choo
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints. ACL (Findings) (2023)
Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis. CoRR (2023)
Minseok Choi, Hyesu Lim, Jaegul Choo
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration. IJCNLP (Findings) (2023)
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. ICLR (2023)
Wonwoo Cho, Jeonghoon Park, Jaegul Choo
Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation. WACV (2023)
Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, Jaegul Choo
SimCKP: Simple Contrastive Learning of Keyphrase Representations. CoRR (2023)
Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields. CoRR (2023)
Chung Park, Taekyoon Choi, Taesan Kim, Mincheol Cho, Junui Hong, Minsung Choi, Jaegul Choo
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning. SIGSPATIAL/GIS (2023)
Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. ICCV (2023)
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo
Learning to Discover Skills through Guidance. NeurIPS (2023)
Sunghyun Park, Sunghyo Chung, Jungsoo Lee, Jaegul Choo
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution. CoRR (2023)
Heungseok Park, Aeree Cho, Hyojun Jeon, Hayoung Lee, Youngil Yang, Sungjae Lee, Heungsub Lee, Jaegul Choo
HPCClusterScape: Increasing Transparency and Efficiency of Shared High-Performance Computing Clusters for Large-scale AI Models. CoRR (2023)
Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo
PePe: Personalized Post-editing Model utilizing User-generated Post-edits. EACL (Findings) (2023)
Jooyeol Yun, Sanghyeon Lee, Minho Park, Jaegul Choo
iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer. WACV (2023)
Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho
SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis. CoRR (2023)
Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. CoRR (2023)
Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho
3D-Aware Generative Model for Improved Side-View Image Synthesis. ICCV (2023)
Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning. ICML (2023)
Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis. ICCV (2023)
Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi
Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays. ICASSP (2023)
Dongmin Kim, Sunghyun Park, Jaegul Choo
When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection. CoRR (2023)
Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, Jaegul Choo
SimCKP: Simple Contrastive Learning of Keyphrase Representations. EMNLP (Findings) (2023)
Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. ICCV (2023)
Chung Park, Taesan Kim, Junui Hong, Minsung Choi, Jaegul Choo
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations. ECML/PKDD (7) (2023)
Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, Jaegul Choo
Local 3D Editing via 3D Distillation of CLIP Knowledge. CVPR (2023)
Chaeyeon Chung, Yeojeong Park, Seunghwan Choi, Munkhsoyol Ganbat, Jaegul Choo
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction. CoRR (2023)
Jaegul Choo, Timo Ropinski, Yifan Hu
Editorial: Guest Editors' Introduction: Special Section on IEEE PacificVis 2023. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On. CoRR (2023)
Sungwon Hwang, Junha Hyung, Jaegul Choo
Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model. CoRR (2023)
Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning. CoRR (2023)
Dohee Kim, Ra Yoo, Soyoung Yang, Hee Yang, Jaegul Choo
AniEE: A Dataset of Animal Experimental Literature for Event Extraction. EMNLP (Findings) (2023)
Chung Park, Taekyoon Choi, Taesan Kim, Mincheol Cho, Junui Hong, Minsung Choi, Jaegul Choo
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning. CoRR (2023)
Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. CoRR (2023)
Jaekak Yoo, Youngwoo Cho, Byeonggeun Jeong, Soo Ho Choi, Ki Kang Kim, Seong Chu Lim, Seung Mi Lee, Jaegul Choo, Mun Seok Jeong
Monolayer. Adv. Intell. Syst. 5 (7) (2023)
Junha Hyung, Jaeyo Shin, Jaegul Choo
MagiCapture: High-Resolution Multi-Concept Portrait Customization. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jaegul Choo