default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJaegul Choo
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[c167]Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo:
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer. AAAI 2025: 2582-2590- [c166]Sanghyeon Lee, Jooyeol Yun, Jaegul Choo:
Enabling Region-Specific Control via Lassos in Point-Based Colorization. AAAI 2025: 4544-4552 - [c165]Hui-Jun Kim
, Jeongho Kim, Sohyun Jeong, Minbong Lee, Jaegul Choo, Sung-Hee Kim:
ShoeGenAI: A Creativity Support Tool for High-Feasible Shoe Product Design. CHI Extended Abstracts 2025: 478:1-478:11 - [c164]Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno:
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. ICLR 2025 - [c163]Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider:
Sparse autoencoders reveal selective remapping of visual concepts during adaptation. ICLR 2025 - [c162]Soyoung Yang, Hojun Cho, Jiyoung Lee, Sohee Yoon, Edward Choi, Jaegul Choo, Won Ik Cho:
Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation. NAACL (Long Papers) 2025: 12071-12096 - [c161]Kyungmin Jo, Jaegul Choo:
Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects. WACV 2025: 690-699 - [c160]Seunghwan Choi, Jooyeol Yun, Jeonghoon Park, Jaegul Choo:
Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation. WACV 2025: 9073-9082 - [i150]Gyumin Shim, Sangmin Lee, Jaegul Choo:
GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text. CoRR abs/2502.11642 (2025) - [i149]Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo:
Hyperspherical Normalization for Scalable Deep Reinforcement Learning. CoRR abs/2502.15280 (2025) - [i148]Taewoong Kang, Sohyun Jeong, Hyojin Jang, Jaegul Choo:
Zero-Shot Head Swapping in Real-World Scenarios. CoRR abs/2503.00861 (2025) - [i147]Hojun Cho, Donghu Kim, Soyoung Yang, Chan Lee, Hunjoo Lee, Jaegul Choo:
Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information. CoRR abs/2503.17753 (2025) - [i146]Minho Park, Sunghyun Park, Jungsoo Lee, Hyojin Park, Kyuwoong Hwang, Fatih Porikli, Jaegul Choo, Sungha Choi:
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation. CoRR abs/2503.22172 (2025) - [i145]Minho Park, Taewoong Kang, Jooyeol Yun, Sungwon Hwang, Jaegul Choo:
SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation. CoRR abs/2504.14396 (2025) - [i144]Sungbok Shin, Sunghyo Chung, Hyeon Jeon, Hyunwook Lee, Minje Choi, Taehun Kim, Jaehoon Choi, Sungahn Ko, Jaegul Choo:
Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data. CoRR abs/2505.00855 (2025) - 2024
- [j32]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): 121391 (2024) - [c159]Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo:
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. AAAI 2024: 1335-1343 - [c158]Junha Hyung, Jaeyo Shin, Jaegul Choo:
MagiCapture: High-Resolution Multi-Concept Portrait Customization. AAAI 2024: 2445-2453 - [c157]Dongmin Kim, Sunghyun Park, Jaegul Choo:
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection. AAAI 2024: 13113-13121 - [c156]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: 5193-5221 - [c155]Dohyun Lee, Daniel Rim, Minseok Choi, Jaegul Choo:
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models. ACL (Findings) 2024: 15820-15839 - [c154]Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo:
Stable VITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On. CVPR 2024: 8176-8185 - [c153]Jeonghoon Park, Chaeyeon Chung, Jaegul Choo:
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair. CVPR 2024: 12332-12341 - [c152]Sungwon Hwang, Min-Jung Kim, Taewoong Kang, Jayeon Kang, Jaegul Choo:
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting Using Learned Priors. ECCV (55) 2024: 1-18 - [c151]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. ECCV (25) 2024: 72-92 - [c150]Jooyeol Yun, Jaegul Choo:
Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization. ECCV (40) 2024: 323-339 - [c149]Jeongho Kim, Min-Jung Kim, Junsoo Lee, Jaegul Choo:
TCAN: Animating Human Images with Temporally Consistent Pose Guidance Using Diffusion Models. ECCV (59) 2024: 326-342 - [c148]Jaeseong Lee, Junha Hyung, Sohyun Jung, Jaegul Choo:
SelfSwapper: Self-supervised Face Swapping via Shape Agnostic Masked AutoEncoder. ECCV (55) 2024: 383-400 - [c147]Jinhee Kim, Taesung Kim, Jaegul Choo:
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation Through Collaborative Error Revision. ECCV (87) 2024: 440-455 - [c146]Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo:
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling. EMNLP (Findings) 2024: 9000-9023 - [c145]Minseok Choi, Kyunghyun Min, Jaegul Choo:
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models. EMNLP (Findings) 2024: 10732-10747 - [c144]Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo:
Expression Domain Translation Network for Cross-Domain Head Reenactment. ICASSP 2024: 7356-7359 - [c143]Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi:
Self-Supervised Contrastive Learning for Long-term Forecasting. ICLR 2024 - [c142]Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo:
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control. ICML 2024 - [c141]Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo:
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning. ICML 2024 - [c140]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. ICML 2024 - [c139]Wonwoo Cho, Kangyeol Kim, Saemee Choi, Jaegul Choo:
Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning. ACM Multimedia 2024: 9360-9368 - [c138]Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim:
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting. NeurIPS 2024 - [c137]Jinhee Kim, Taesung Kim, Jaegul Choo:
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models. NeurIPS 2024 - [c136]Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo:
Do's and Don'ts: Learning Desirable Skills with Instruction Videos. NeurIPS 2024 - [c135]Changdae Oh, Hyesu Lim, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song:
Towards Calibrated Robust Fine-Tuning of Vision-Language Models. NeurIPS 2024 - [c134]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: 2071-2080 - [c133]Min-Jung Kim, Gyojung Gu, Jaegul Choo:
LensNeRF: Rethinking Volume Rendering based on Thin-Lens Camera Model. WACV 2024: 3170-3179 - [c132]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: 7599-7608 - [i143]Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi:
Self-Supervised Contrastive Forecasting. CoRR abs/2402.02023 (2024) - [i142]Jaeseong Lee, Junha Hyung, Sohyun Jeong, Jaegul Choo:
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder. CoRR abs/2402.07370 (2024) - [i141]ChaeHun Park, Minseok Choi, Dohyun Lee, Jaegul Choo:
PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison. CoRR abs/2404.01015 (2024) - [i140]Jinhee Kim, Taesung Kim, Jaegul Choo:
Group-wise Prompting for Synthetic Tabular Data Generation using Large Language Models. CoRR abs/2404.12404 (2024) - [i139]Jeonghoon Park, Chaeyeon Chung, Juyoung Lee, Jaegul Choo:
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair. CoRR abs/2404.19250 (2024) - [i138]Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo:
Do's and Don'ts: Learning Desirable Skills with Instruction Videos. CoRR abs/2406.00324 (2024) - [i137]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 abs/2406.02331 (2024) - [i136]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 abs/2406.02596 (2024) - [i135]Minho Park, Sunghyun Park, Jooyeol Yun, Jaegul Choo:
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models. CoRR abs/2406.05432 (2024) - [i134]Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo:
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning. CoRR abs/2406.06037 (2024) - [i133]Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo:
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control. CoRR abs/2406.06072 (2024) - [i132]Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim:
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting. CoRR abs/2406.11672 (2024) - [i131]Seungbin Yang, ChaeHun Park, Taehee Kim, Jaegul Choo:
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions? CoRR abs/2406.12307 (2024) - [i130]Hawon Jeong, ChaeHun Park, Jimin Hong, Jaegul Choo:
PRePair: Pointwise Reasoning Enhance Pairwise Evaluating for Robust Instruction-Following Assessments. CoRR abs/2406.12319 (2024) - [i129]Minseok Choi, Daniel Rim, Dohyun Lee, Jaegul Choo:
SNAP: Unlearning Selective Knowledge in Large Language Models with Negative Instructions. CoRR abs/2406.12329 (2024) - [i128]Minseok Choi, Kyunghyun Min, Jaegul Choo:
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models. CoRR abs/2406.12354 (2024) - [i127]Dohyun Lee, Daniel Rim, Minseok Choi, Jaegul Choo:
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models. CoRR abs/2406.14091 (2024) - [i126]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 abs/2406.16469 (2024) - [i125]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 abs/2407.02945 (2024) - [i124]Jooyeol Yun, Jaegul Choo:
Scaling Up Personalized Aesthetic Assessment via Task Vector Customization. CoRR abs/2407.07176 (2024) - [i123]Jeongho Kim, Min-Jung Kim, Junsoo Lee, Jaegul Choo:
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models. CoRR abs/2407.09012 (2024) - [i122]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 abs/2407.09779 (2024) - [i121]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 abs/2407.11245 (2024) - [i120]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 abs/2407.15383 (2024) - [i119]Wonwoo Cho, Kangyeol Kim, Saemee Choi, Jaegul Choo:
Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning. CoRR abs/2408.07944 (2024) - [i118]Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo:
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer. CoRR abs/2408.16450 (2024) - [i117]Kyungmin Jo, Jaegul Choo:
Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects. CoRR abs/2409.02653 (2024) - [i116]Jinhee Kim, Taesung Kim, Jaegul Choo:
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision. CoRR abs/2409.03261 (2024) - [i115]Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno:
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning. CoRR abs/2410.09754 (2024) - [i114]Soyoung Yang, Hojun Cho, Jiyoung Lee, Sohee Yoon, Edward Choi, Jaegul Choo, Won Ik Cho:
Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation. CoRR abs/2410.09807 (2024) - [i113]Jaeseong Lee, Taewoong Kang, Marcel C. Bühler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo:
SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars. CoRR abs/2410.11682 (2024) - [i112]Minseok Choi, ChaeHun Park, Dohyun Lee, Jaegul Choo:
Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning. CoRR abs/2410.13274 (2024) - [i111]Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amirhossein Habibian, Auke J. Wiggers:
Generative Location Modeling for Spatially Aware Object Insertion. CoRR abs/2410.13564 (2024) - [i110]ChaeHun Park, Hojun Cho, Jaegul Choo:
Evaluating and Improving Automatic Speech Recognition Systems for Korean Meteorological Experts. CoRR abs/2410.18444 (2024) - [i109]Daehoon Gwak, Junwoo Park, Minho Park, Chaehun Park, Hyunchan Lee, Edward Choi, Jaegul Choo:
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling. CoRR abs/2411.14042 (2024) - [i108]Junha Hyung, Kinam Kim, Susung Hong, Min-Jung Kim, Jaegul Choo:
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling. CoRR abs/2411.18664 (2024) - [i107]Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider:
Sparse autoencoders reveal selective remapping of visual concepts during adaptation. CoRR abs/2412.05276 (2024) - [i106]Sanghyeon Lee, Jooyeol Yun, Jaegul Choo:
Enabling Region-Specific Control via Lassos in Point-Based Colorization. CoRR abs/2412.13469 (2024) - [i105]Jeongho Kim, Hoiyeong Jin, Sunghyun Park, Jaegul Choo:
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask. CoRR abs/2412.16978 (2024) - 2023
- [j31]Jaekak Yoo, Youngwoo Cho, Byeonggeun Jeong, Soo Ho Choi, Ki Kang Kim, Seong Chu Lim, Seung Mi Lee, Jaegul Choo, Mun Seok Jeong:
Explainable Artificial Intelligence Approach to Identify the Origin of Phonon-Assisted Emission in WSe2 Monolayer. Adv. Intell. Syst. 5(7) (2023) - [j30]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): 185-205 (2023) - [j29]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): 1102-1112 (2023) - [j28]Jaegul Choo, Timo Ropinski, Yifan Hu:
Editorial: Guest Editors' Introduction: Special Section on IEEE PacificVis 2023. IEEE Trans. Vis. Comput. Graph. 29(6): 2847-2848 (2023) - [c131]Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo:
Revisiting the Importance of Amplifying Bias for Debiasing. AAAI 2023: 14974-14981 - [c130]Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo:
HistRED: A Historical Document-Level Relation Extraction Dataset. ACL (1) 2023: 3207-3224 - [c129]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: 4839-4855 - [c128]ChaeHun Park, Seungil Chad Lee, Daniel Rim, Jaegul Choo:
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation. ACL (Findings) 2023: 14222-14236 - [c127]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. CIKM 2023: 2024-2033 - [c126]Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee, Jaegul Choo:
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal. CIKM 2023: 4053-4058 - [c125]Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, Jaegul Choo:
Local 3D Editing via 3D Distillation of CLIP Knowledge. CVPR 2023: 12674-12684 - [c124]Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo:
PePe: Personalized Post-editing Model utilizing User-generated Post-edits. EACL (Findings) 2023: 239-253 - [c123]Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, Jaegul Choo:
SimCKP: Simple Contrastive Learning of Keyphrase Representations. EMNLP (Findings) 2023: 3003-3015 - [c122]Dohee Kim, Yujin Baek, Soyoung Yang, Jaegul Choo:
Towards Formality-Aware Neural Machine Translation by Leveraging Context Information. EMNLP (Findings) 2023: 7384-7392 - [c121]Dohee Kim, Ra Yoo, Soyoung Yang, Hee Yang, Jaegul Choo:
AniEE: A Dataset of Animal Experimental Literature for Event Extraction. EMNLP (Findings) 2023: 12959-12971 - [c120]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: 39:1-39:10 - [c119]Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi:
Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays. ICASSP 2023: 1-5 - [c118]Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo:
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields. ICCV 2023: 3446-3456 - [c117]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: 7557-7566 - [c116]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: 7578-7588 - [c115]Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi:
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. ICCV 2023: 16334 - [c114]Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun:
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. ICCV 2023: 16375-16385 - [c113]Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo:
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. ICCV 2023: 19014-19025 - [c112]Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho:
3D-Aware Generative Model for Improved Side-View Image Synthesis. ICCV 2023: 22805-22815 - [c111]Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi:
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. ICLR 2023 - [c110]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: 18988-19009 - [c109]Minseok Choi, Hyesu Lim, Jaegul Choo:
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration. IJCNLP (Findings) 2023: 39-47 - [c108]Jimin Hong, ChaeHun Park, Jaegul Choo:
Learning to Diversify Neural Text Generation via Degenerative Model. IJCNLP (Findings) 2023: 55-64 - [c107]Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo:
Learning to Discover Skills through Guidance. NeurIPS 2023 - [c106]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 - [c105]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: 125-140 - [c104]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: 139-155 - [c103]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: 2433-2443 - [c102]Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo:
CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis. WACV 2023: 724-733 - [c101]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: 1787-1796 - [c100]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: 1818-1827 - [c99]Wonwoo Cho, Jeonghoon Park, Jaegul Choo:
Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation. WACV 2023: 2623-2632 - [i104]Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi:
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation. CoRR abs/2302.05155 (2023) - [i103]Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi:
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density. CoRR abs/2302.13563 (2023) - [i102]Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi:
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays. CoRR abs/2303.05297 (2023) - [i101]Jaeseong Lee, Taewoo Kim, Sunghyun Park, Younggun Lee, Jaegul Choo:
RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage. CoRR abs/2303.15768 (2023) - [i100]Sunghyun Park, Sunghyo Chung, Jungsoo Lee, Jaegul Choo:
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution. CoRR abs/2304.08592 (2023) - [i99]Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo:
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model. CoRR abs/2304.09748 (2023) - [i98]ChaeHun Park, Seungil Chad Lee, Daniel Rim, Jaegul Choo:
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation. CoRR abs/2305.04720 (2023) - [i97]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 abs/2306.05637 (2023) - [i96]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 abs/2306.10711 (2023) - [i95]Yujin Baek, Koanho Lee, Dayeon Ki, Hyoung-Gyu Lee, Cheonbok Park, Jaegul Choo:
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints. CoRR abs/2306.12089 (2023) - [i94]Junha Hyung, Sungwon Hwang, Daejin Kim, Hyunji Lee, Jaegul Choo:
Local 3D Editing via 3D Distillation of CLIP Knowledge. CoRR abs/2306.12570 (2023) - [i93]Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo:
HistRED: A Historical Document-Level Relation Extraction Dataset. CoRR abs/2307.04285 (2023) - [i92]Gyumin Shim, Jaeseong Lee, Junha Hyung, Jaegul Choo:
PixelHuman: Animatable Neural Radiance Fields from Few Images. CoRR abs/2307.09070 (2023) - [i91]Sungwon Hwang, Junha Hyung, Daejin Kim, Min-Jung Kim, Jaegul Choo:
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields. CoRR abs/2307.11418 (2023) - [i90]Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi:
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. CoRR abs/2308.06879 (2023) - [i89]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 abs/2308.08011 (2023) - [i88]Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo:
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis. CoRR abs/2308.08157 (2023) - [i87]Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun:
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. CoRR abs/2308.08810 (2023) - [i86]Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee, Jaegul Choo:
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal. CoRR abs/2308.10609 (2023) - [i85]Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo:
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. CoRR abs/2308.11137 (2023) - [i84]Sungwon Hwang, Junha Hyung, Jaegul Choo:
Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model. CoRR abs/2309.03550 (2023) - [i83]Junha Hyung, Jaeyo Shin, Jaegul Choo:
MagiCapture: High-Resolution Multi-Concept Portrait Customization. CoRR abs/2309.06895 (2023) - [i82]Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho:
SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis. CoRR abs/2309.10388 (2023) - [i81]Jimin Hong, ChaeHun Park, Jaegul Choo:
Learning to Diversify Neural Text Generation via Degenerative Model. CoRR abs/2309.12619 (2023) - [i80]Minseok Choi, Hyesu Lim, Jaegul Choo:
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration. CoRR abs/2309.13869 (2023) - [i79]Chung Park, Taesan Kim, Junui Hong, Minsung Choi, Jaegul Choo:
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations. CoRR abs/2310.01252 (2023) - [i78]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 abs/2310.02120 (2023) - [i77]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 abs/2310.02284 (2023) - [i76]Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, Jaegul Choo:
SimCKP: Simple Contrastive Learning of Keyphrase Representations. CoRR abs/2310.08221 (2023) - [i75]Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo:
Expression Domain Translation Network for Cross-domain Head Reenactment. CoRR abs/2310.10073 (2023) - [i74]Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo:
Learning to Discover Skills through Guidance. CoRR abs/2310.20178 (2023) - [i73]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 abs/2311.13188 (2023) - [i72]Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo:
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On. CoRR abs/2312.01725 (2023) - [i71]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 abs/2312.04594 (2023) - [i70]Dongmin Kim, Sunghyun Park, Jaegul Choo:
When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection. CoRR abs/2312.11976 (2023) - [i69]Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo:
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. CoRR abs/2312.15449 (2023) - 2022
- [c98]Junwoo Park, Youngwoo Cho, Gyuhyeon Sim, Hojoon Lee, Jaegul Choo:
Enemy Spotted: In-game Gun Sound Dataset for Gunshot Classification and Localization. CoG 2022: 56-63 - [c97]Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo:
Residual Correction in Real-Time Traffic Forecasting. CIKM 2022: 962-971 - [c96]Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo:
Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity. COLING 2022: 4853-4863 - [c95]Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo:
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment. ECCV (17) 2022: 188-203 - [c94]Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo:
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions. ECCV (17) 2022: 204-219 - [c93]Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo:
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment. ECCV (8) 2022: 414-430 - [c92]Wonwoo Cho, Jaegul Choo:
Towards Accurate Open-Set Recognition via Background-Class Regularization. ECCV (25) 2022: 658-674 - [c91]Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-In Hwang, Minseok Choi, Edward Choi, Jaegul Choo:
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model. EMNLP 2022: 5452-5467 - [c90]Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, Jaegul Choo:
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task. EMNLP 2022: 10692-10703 - [c89]Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, Jaegul Choo:
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift. ICLR 2022 - [c88]Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim:
Morphology-Aware Interactive Keypoint Estimation. MICCAI (3) 2022: 675-685 - [c87]Gyumin Shim, Minsoo Lee, Jaegul Choo:
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction. ACM Multimedia 2022: 6850-6859 - [c86]Youngin Cho, Daejin Kim, Mohammad Azam Khan, Jaegul Choo:
Mining Multi-Label Samples from Single Positive Labels. NeurIPS 2022 - [c85]Youngin Cho, Daejin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo:
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting. NeurIPS 2022 - [c84]Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee:
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition. NeurIPS 2022 - [c83]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. PAKDD (1) 2022: 354-366 - [c82]Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo:
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems. SIGIR 2022: 2607-2611 - [c81]Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, Jaegul Choo:
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation. EuroVis (Short Papers) 2022: 91-95 - [c80]Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo:
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games. WWW 2022: 3428-3439 - [i68]Minsoo Lee, Chaeyeon Chung, Hojun Cho, Min-Jung Kim, Sanghun Jung, Jaegul Choo, Minhyuk Sung:
3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations. CoRR abs/2203.06457 (2022) - [i67]Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo:
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games. CoRR abs/2204.12750 (2022) - [i66]Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo:
BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing. CoRR abs/2205.14594 (2022) - [i65]Sanghun Jung, Jungsoo Lee, Nanhee Kim, Jaegul Choo:
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. CoRR abs/2206.00205 (2022) - [i64]Jungsoo Lee, Juyoung Lee, Sanghun Jung, Jaegul Choo:
DebiasBench: Benchmark for Fair Comparison of Debiasing in Image Classification. CoRR abs/2206.03680 (2022) - [i63]Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo:
HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting. CoRR abs/2206.08585 (2022) - [i62]Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo:
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions. CoRR abs/2206.14180 (2022) - [i61]Sanghyeon Lee, Jooyeol Yun, Minho Park, Jaegul Choo:
iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer. CoRR abs/2207.06831 (2022) - [i60]Wonwoo Cho, Jaegul Choo:
Towards Accurate Open-Set Recognition via Background-Class Regularization. CoRR abs/2207.10287 (2022) - [i59]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. CoRR abs/2208.04350 (2022) - [i58]Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo:
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment. CoRR abs/2208.07765 (2022) - [i57]Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo:
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity. CoRR abs/2208.13376 (2022) - [i56]Daejin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo:
Residual Correction in Real-Time Traffic Forecasting. CoRR abs/2209.05406 (2022) - [i55]Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, Jaegul Choo:
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation. CoRR abs/2209.06357 (2022) - [i54]Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim:
Morphology-Aware Interactive Keypoint Estimation. CoRR abs/2209.07163 (2022) - [i53]Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo:
PePe: Personalized Post-editing Model utilizing User-generated Post-edits. CoRR abs/2209.10139 (2022) - [i52]Junwoo Park, Youngwoo Cho, Gyuhyeon Sim, Hojoon Lee, Jaegul Choo:
Enemy Spotted: in-game gun sound dataset for gunshot classification and localization. CoRR abs/2210.05917 (2022) - [i51]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. CoRR abs/2210.14270 (2022) - [i50]Youngin Cho, Daejin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo:
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting. CoRR abs/2210.14303 (2022) - [i49]Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, Jaegul Choo:
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task. CoRR abs/2210.17238 (2022) - [i48]Gyumin Shim, Minsoo Lee, Jaegul Choo:
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction. CoRR abs/2211.04753 (2022) - 2021
- [j27]Chaeyeon Chung, Jungsoo Lee, Kyungmin Park, Junsoo Lee, Minjae Kim, Mookyung Song, Yeonwoo Kim, Jaegul Choo, Sungsoo Ray Hong:
Understanding Human-side Impact of Sampling Image Batches in Subjective Attribute Labeling. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 296:1-296:26 (2021) - [j26]Heungseok Park, Yoonsoo Nam, Jihoon Kim, Jaegul Choo:
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. 27(2): 1407-1416 (2021) - [c79]Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi:
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. AAAI 2021: 2412-2422 - [c78]Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, Sung-Hyon Myaeng:
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images. ACL/IJCNLP (2) 2021: 897-906 - [c77]Seohyun Back, Akhil Kedia, Sai Chetan Chinthakindi, Haejun Lee, Jaegul Choo:
Learning to Generate Questions by Learning to Recover Answer-containing Sentences. ACL/IJCNLP (Findings) 2021: 1516-1529 - [c76]Cheonbok Park, Yunwon Tae, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, Jaegul Choo:
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning. ACL/IJCNLP (1) 2021: 2888-2901 - [c75]Beomsoo Kim, Jang-Ho Choi, Jaegul Choo:
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space. ACML 2021: 1633-1644 - [c74]Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo:
HairFIT: Pose-invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-region-aware Inpainting. BMVC 2021: 219 - [c73]Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. BMVC 2021: 229 - [c72]Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo:
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. BMVC 2021: 382 - [c71]Daejin Kim, Mohammad Azam Khan, Jaegul Choo:
Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction. CVPR 2021: 6509-6518 - [c70]Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo:
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CVPR 2021: 11580-11590 - [c69]Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo:
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization. CVPR 2021: 14131-14140 - [c68]Fuxiang Chen, Mijung Kim, Jaegul Choo:
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations. EMNLP (Findings) 2021: 2510-2520 - [c67]Jimin Hong, Taehee Kim, Hyesu Lim, Jaegul Choo:
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain. EMNLP (1) 2021: 4692-4700 - [c66]Youngwoo Cho, Minwook Chang, Sanghyeon Lee, Hyoungwoo Lee, Gerard Jounghyun Kim, Jaegul Choo:
Efficient Adversarial Audio Synthesis VIA Progressive Upsampling. ICASSP 2021: 3410-3414 - [c65]Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo:
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects. ICCV 2021: 14647-14656 - [c64]Eungyeup Kim, Jihyeon Lee, Jaegul Choo:
BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation. ICCV 2021: 14972-14981 - [c63]Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo:
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. ICCV 2021: 15405-15414 - [c62]Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko:
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. ICDE 2021: 1817-1822 - [c61]Taewoo Kim, Chaeyeon Chung, Sunghyun Park, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee, Jaegul Choo:
K-Hairstyle: A Large-Scale Korean Hairstyle Dataset For Virtual Hair Editing And Hairstyle Classification. ICIP 2021: 1299-1303 - [c60]Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi:
Knowledge Graph-based Question Answering with Electronic Health Records. MLHC 2021: 36-53 - [c59]Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Soojin Jang, Jaegul Choo, Youngbin Kim:
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. NAACL-HLT 2021: 4031-4042 - [c58]Jungsoo Lee, Eungyeup Kim, Juyoung Lee, Jihyeon Lee, Jaegul Choo:
Learning Debiased Representation via Disentangled Feature Augmentation. NeurIPS 2021: 25123-25133 - [c57]Cheonbok Park, Soyoung Yang, Inyoup Na, Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, Jaegul Choo:
VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks. EuroVis (Short Papers) 2021: 7-11 - [i47]Taewoo Kim, Chaeyeon Chung, Sunghyun Park, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee, Jaegul Choo:
K-Hairstyle: A Large-scale Korean hairstyle dataset for virtual hair editing and hairstyle classification. CoRR abs/2102.06288 (2021) - [i46]Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo:
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. CoRR abs/2103.15597 (2021) - [i45]Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo:
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization. CoRR abs/2103.16874 (2021) - [i44]Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Sujin Jang, Jaegul Choo, Youngbin Kim:
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation. CoRR abs/2104.05964 (2021) - [i43]Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko:
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data. CoRR abs/2105.05504 (2021) - [i42]Eungyeup Kim, Jungsoo Lee, Juyoung Lee, Jihyeon Lee, Jaegul Choo:
Learning Debiased Representation via Disentangled Feature Augmentation. CoRR abs/2107.01372 (2021) - [i41]Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo:
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects. CoRR abs/2107.01619 (2021) - [i40]Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, Sung-Hyon Myaeng:
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images. CoRR abs/2107.08685 (2021) - [i39]Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo:
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. CoRR abs/2107.11264 (2021) - [i38]Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, Jaegul Choo:
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation. CoRR abs/2108.07505 (2021) - [i37]Eungyeup Kim, Jihyeon Lee, Jaegul Choo:
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation. CoRR abs/2108.10008 (2021) - [i36]Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi:
Natural Attribute-based Shift Detection. CoRR abs/2110.09276 (2021) - [i35]Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo:
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children. CoRR abs/2110.11630 (2021) - [i34]Jimin Hong, Taehee Kim, Hyesu Lim, Jaegul Choo:
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain. CoRR abs/2110.13434 (2021) - [i33]Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo:
AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models. CoRR abs/2111.07640 (2021) - [i32]Taewon Kang, Sunghyun Park, Seunghwan Choi, Jaegul Choo:
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP). CoRR abs/2111.08270 (2021) - [i31]Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo:
CG-NeRF: Conditional Generative Neural Radiance Fields. CoRR abs/2112.03517 (2021) - [i30]Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi:
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE. CoRR abs/2112.10960 (2021) - 2020
- [j25]Mohammad Azam Khan, Soonwook Kwon, Jaegul Choo, Seok Min Hong, Sung Hun Kang, Il-Ho Park, Sung Kyun Kim, Seok Jin Hong:
Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks. Neural Networks 126: 384-394 (2020) - [j24]Mohammad Azam Khan, Yong-Hwa Kim, Jaegul Choo:
Intelligent fault detection using raw vibration signals via dilated convolutional neural networks. J. Supercomput. 76(10): 8086-8100 (2020) - [j23]Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy:
Probabilistic Topic Modeling for Comparative Analysis of Document Collections. ACM Trans. Knowl. Discov. Data 14(2): 24:1-24:27 (2020) - [j22]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020) - [c56]Sanghyeon Na, Seungjoo Yoo, Jaegul Choo:
Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss. BMVC 2020 - [c55]Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, Jaegul Choo:
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed. CIKM 2020: 1215-1224 - [c54]Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo:
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence. CVPR 2020: 5800-5809 - [c53]Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo:
Exploring Unlabeled Faces for Novel Attribute Discovery. CVPR 2020: 5820-5829 - [c52]Sungha Choi, Joanne Taery Kim, Jaegul Choo:
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks. CVPR 2020: 9370-9380 - [c51]Hyoungwoo Lee, Jaegul Choo:
Data analysis and processing for spatio-temporal forecasting. ICDM (Workshops) 2020: 737-739 - [c50]Seohyun Back, Sai Chetan Chinthakindi, Akhil Kedia, Haejun Lee, Jaegul Choo:
NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension. ICLR 2020 - [c49]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. ICML 2020: 528-539 - [c48]Geunbae Lee, Myungkyo Jung, Myoungwoo Song, Jaegul Choo:
Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder. ICPHM 2020: 1-6 - [c47]Jinhee Kim, Taesung Kim, Jang-Ho Choi, Jaegul Choo:
End-to-end Multi-task Learning of Missing Value Imputation and Forecasting in Time-Series Data. ICPR 2020: 8849-8856 - [i29]Sungha Choi, Joanne Taery Kim, Jaegul Choo:
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks. CoRR abs/2003.05128 (2020) - [i28]Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo:
Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence. CoRR abs/2005.05207 (2020) - [i27]Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo:
Towards Lightweight Lane Detection by Optimizing Spatial Embedding. CoRR abs/2008.08311 (2020) - [i26]Heungseok Park, Yoonsoo Nam, Jihoon Kim, Jaegul Choo:
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks. CoRR abs/2009.02078 (2020) - [i25]Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi:
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. CoRR abs/2010.08188 (2020) - [i24]Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi:
Neural Ordinary Differential Equations for Intervention Modeling. CoRR abs/2010.08304 (2020) - [i23]Yunwon Tae, Cheonbok Park, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Tao Qin, Jaegul Choo:
Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation. CoRR abs/2010.09046 (2020) - [i22]Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi:
Knowledge Graph-based Question Answering with Electronic Health Records. CoRR abs/2010.09394 (2020) - [i21]Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi:
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. CoRR abs/2011.13120 (2020)
2010 – 2019
- 2019
- [j21]Jinho Choi, Sanghun Jung, Deok Gun Park, Jaegul Choo, Niklas Elmqvist:
Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization. Comput. Graph. Forum 38(3): 249-260 (2019) - [j20]Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo:
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. IEEE Trans. Vis. Comput. Graph. 25(1): 299-309 (2019) - [c46]Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim:
Paraphrase Diversification Using Counterfactual Debiasing. AAAI 2019: 6883-6891 - [c45]Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo:
Learning to Focus and Track Extreme Climate Events. BMVC 2019: 11 - [c44]Minsuk Choi, Cheonbok Park, Soyoung Yang, Yonggyu Kim, Jaegul Choo, Sungsoo Ray Hong:
AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks. CHI 2019: 230 - [c43]Kyeongpil Kang, Junwoo Park, Wooyoung Kim, Hojung Choe, Jaegul Choo:
Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling. CIKM 2019: 1543-1552 - [c42]Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo:
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation. CVPR 2019: 10639-10647 - [c41]Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo:
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks. CVPR 2019: 11283-11292 - [c40]Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim:
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions. EMNLP/IJCNLP (1) 2019: 2603-2613 - [c39]Wooyoung Kim, Wonwoong Cho, Jangho Choi, Jiyong Kim, Cheonbok Park, Jaegul Choo:
A Comparison of the Effects of Data Imputation Methods on Model Performance. ICACT 2019: 592-599 - [c38]Cheonbok Park, Jaegul Choo, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee:
SANVis: Visual Analytics for Understanding Self-Attention Networks. IEEE VIS (Short Papers) 2019: 146-150 - [i20]Sanghyeon Na, Seungjoo Yoo, Jaegul Choo:
MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation. CoRR abs/1902.03938 (2019) - [i19]Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo:
What and Where to Translate: Local Mask-based Image-to-Image Translation. CoRR abs/1906.03598 (2019) - [i18]Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo:
Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks. CoRR abs/1906.11888 (2019) - [i17]Cheonbok Park, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo:
SANVis: Visual Analytics for Understanding Self-Attention Networks. CoRR abs/1909.09595 (2019) - [i16]Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh:
Learning De-biased Representations with Biased Representations. CoRR abs/1910.02806 (2019) - [i15]Cheonbok Park, Chunggi Lee, Hyojin Bahng, Taeyun won, Kihwan Kim, Seungmin Jin, Sungahn Ko, Jaegul Choo:
STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting. CoRR abs/1911.13181 (2019) - [i14]Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo:
Unpaired Image Translation via Adaptive Convolution-based Normalization. CoRR abs/1911.13271 (2019) - [i13]Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo:
Exploring Unlabeled Faces for Novel Attribute Discovery. CoRR abs/1912.03085 (2019) - 2018
- [j19]Jaegul Choo, Shixia Liu:
Visual Analytics for Explainable Deep Learning. IEEE Computer Graphics and Applications 38(4): 84-92 (2018) - [j18]Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo:
PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision. Comput. Graph. Forum 37(3): 267-276 (2018) - [j17]Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, Jaegul Choo:
Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization. Knowl. Inf. Syst. 56(3): 503-531 (2018) - [j16]Jaegul Choo, Hannah Kim, Edward Clarkson, Zhicheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Haesun Park:
VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data. ACM Trans. Knowl. Discov. Data 12(1): 8:1-8:20 (2018) - [j15]Deokgun Park, Seungyeon Kim, Jurim Lee, Jaegul Choo, Nicholas Diakopoulos, Niklas Elmqvist:
ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding. IEEE Trans. Vis. Comput. Graph. 24(1): 361-370 (2018) - [j14]Christopher Collins, Natalia V. Andrienko, Tobias Schreck, Jing Yang, Jaegul Choo, Ulrich Engelke, Amit Jena, Tim Dwyer:
Guidance in the human-machine analytics process. Vis. Informatics 2(3): 166-180 (2018) - [c37]Mohammad Azam Khan, Yong-Hwa Kim, Jaegul Choo:
Intelligent Fault Detection via Dilated Convolutional Neural Networks. BigComp 2018: 729-731 - [c36]Minsuk Choi, Dear Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo:
TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media. CHI 2018: 583 - [c35]Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo:
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CVPR 2018: 8789-8797 - [c34]Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, Jaegul Choo:
Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation. ECCV (12) 2018: 443-459 - [c33]Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo:
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. EMNLP 2018: 2131-2140 - [c32]Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim:
MMGAN: Manifold-Matching Generative Adversarial Networks. ICPR 2018: 1343-1348 - [c31]David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park:
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. IJCAI 2018: 878-884 - [c30]Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy:
Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations. WWW 2018: 1105-1114 - [i12]Jaegul Choo, Shixia Liu:
Visual Analytics for Explainable Deep Learning. CoRR abs/1804.02527 (2018) - [i11]Wonwoong Cho, Hyojin Bahng, David Keetae Park, Seungjoo Yoo, Ziming Wu, Xiaojuan Ma, Jaegul Choo:
Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation. CoRR abs/1804.04128 (2018) - [i10]David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park:
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation. CoRR abs/1805.02481 (2018) - [i9]Bum Chul Kwon, Min-Je Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo:
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records. CoRR abs/1805.10724 (2018) - [i8]Minjeong Kim, David Keetae Park, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo:
Question-Aware Sentence Gating Networks for Question and Answering. CoRR abs/1807.07964 (2018) - [i7]Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo:
Interpreting Models by Allowing to Ask. CoRR abs/1811.05106 (2018) - [i6]Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo:
Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation. CoRR abs/1812.09912 (2018) - 2017
- [j13]Young Bin Kim, Kyeongpil Kang, Jaegul Choo, Shin-Jin Kang, TaeHyeong Kim, Jaeho Im, Jong-Hyun Kim, Chang-Hun Kim:
Predicting the Currency Market in Online Gaming via Lexicon-Based Analysis on Its Online Forum. Complex. 2017: 4152705:1-4152705:10 (2017) - [j12]Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, Niklas Elmqvist:
TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections. IEEE Trans. Vis. Comput. Graph. 23(1): 151-160 (2017) - [j11]Bum Chul Kwon, Hannah Kim, Emily Wall, Jaegul Choo, Haesun Park, Alex Endert:
AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings. IEEE Trans. Vis. Comput. Graph. 23(1): 221-230 (2017) - [c29]Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park:
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering. AAAI 2017: 1001-1009 - [c28]Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo:
STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection. ICDM 2017: 435-444 - [c27]Min-Je Choi, Sehun Jeong, Hakjoo Oh, Jaegul Choo:
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks. IJCAI 2017: 1546-1553 - [c26]Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. IJCAI 2017: 4944-4948 - [i5]Min-Je Choi, Sehun Jeong, Hakjoo Oh, Jaegul Choo:
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks. CoRR abs/1703.02458 (2017) - [i4]Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim:
MMGAN: Manifold Matching Generative Adversarial Network for Generating Images. CoRR abs/1707.08273 (2017) - [i3]Yunjey Choi, Min-Je Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo:
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation. CoRR abs/1711.09020 (2017) - 2016
- [j10]Jina Huh, Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jihoon Kim, Min-Je Choi, Ji Soo Yi:
Personas in online health communities. J. Biomed. Informatics 63: 212-225 (2016) - [j9]Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jina Huh, Ji Soo Yi:
VisOHC: Designing Visual Analytics for Online Health Communities. IEEE Trans. Vis. Comput. Graph. 22(1): 71-80 (2016) - [j8]Hannah Kim, Jaegul Choo, Haesun Park, Alex Endert:
InterAxis: Steering Scatterplot Axes via Observation-Level Interaction. IEEE Trans. Vis. Comput. Graph. 22(1): 131-140 (2016) - [c25]Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. ICDM 2016: 479-488 - [i2]Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo:
PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding. CoRR abs/1611.02568 (2016) - 2015
- [j7]Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park:
Weakly supervised nonnegative matrix factorization for user-driven clustering. Data Min. Knowl. Discov. 29(6): 1598-1621 (2015) - [j6]Jaeyul Choo, Chihyun Cho, Jaegul Choo:
Simple quasi-static analysis for coplanar stripline within multilayer dielectrics. IEICE Electron. Express 12(17): 20150361 (2015) - [j5]Hannah Kim, Jaegul Choo, Chandan K. Reddy, Haesun Park:
Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization. Neurocomputing 150: 570-582 (2015) - [c24]Vineeth Rakesh, Jaegul Choo, Chandan K. Reddy:
Project Recommendation Using Heterogeneous Traits in Crowdfunding. ICWSM 2015: 337-346 - [c23]Wenwen Dou, Isaac Cho, Omar ElTayeby, Jaegul Choo, Xiaoyu Wang, William Ribarsky:
DemographicVis: Analyzing demographic information based on user generated content. VAST 2015: 57-64 - [c22]Jaegul Choo, Christopher Collins, Wenwen Dou, Alex Endert:
IUI-TextVis 2015: Fourth Workshop on Interactive Visual Text Analytics. IUI 2015: 455-457 - [c21]Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park:
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization. KDD 2015: 567-576 - [i1]Jina Huh, Bum Chul Kwon, Jaegul Choo, Sung-Hee Kim, Ji Soo Yi:
Coddlers, Scientists, Adventurers, and Opportunists: Personas to Inform Online Health Community Development. CoRR abs/1506.09191 (2015) - 2014
- [c20]Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Chandan K. Reddy, Barry L. Drake, Haesun Park:
PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods. IEEE VAST 2014: 241-242 - [c19]Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Barry L. Drake, Haesun Park:
VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data. IEEE VAST 2014: 243-244 - [c18]Jaegul Choo, Yi Han, Mengdie Hu, Hannah Kim, James Nugent, Francesco Poggi, Haesun Park, John T. Stasko:
Exploring anomalies in GAStech: VAST 2014 Mini Challenge 1 and 2. IEEE VAST 2014: 347-348 - [c17]Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park:
Understanding and promoting micro-finance activities in Kiva.org. WSDM 2014: 583-592 - [c16]Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park:
To gather together for a better world: understanding and leveraging communities in micro-lending recommendation. WWW 2014: 249-260 - 2013
- [j4]Jaegul Choo, Haesun Park:
Customizing Computational Methods for Visual Analytics with Big Data. IEEE Computer Graphics and Applications 33(4): 22-28 (2013) - [j3]Carsten Görg, Zhicheng Liu, Jaeyeon Kihm, Jaegul Choo, Haesun Park, John T. Stasko:
Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw. IEEE Trans. Vis. Comput. Graph. 19(10): 1646-1663 (2013) - [j2]Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park:
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization. IEEE Trans. Vis. Comput. Graph. 19(12): 1992-2001 (2013) - [c15]Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Fast interactive visualization for multivariate data exploration. CHI Extended Abstracts 2013: 1773-1778 - [c14]Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects. ICDM Workshops 2013: 1093-1096 - [c13]Edward Clarkson, Jaegul Choo, John Turgeson, Ray Decuir, Haesun Park:
Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics. IDEA@KDD 2013: 36-44 - [c12]Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park:
Augmenting MATLAB with semantic objects for an interactive visual environment. IDEA@KDD 2013: 63-70 - [c11]Jaegul Choo, Hanseung Lee, Zhicheng Liu, John T. Stasko, Haesun Park:
An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data. Visualization and Data Analysis 2013: 865402 - 2012
- [j1]Hanseung Lee, Jaeyeon Kihm, Jaegul Choo, John T. Stasko, Haesun Park:
iVisClustering: An Interactive Visual Document Clustering via Topic Modeling. Comput. Graph. Forum 31(3pt3): 1155-1164 (2012) - [c10]Jaegul Choo, Shawn Bohn, Grant Nakamura, Amanda M. White, Haesun Park:
Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling. SDM 2012: 177-188 - [p1]Jaegul Choo, Fuxin Li, Keehyoung Joo, Haesun Park:
A Visual Analytics Approach for Protein Disorder Prediction. Expanding the Frontiers of Visual Analytics and Visualization 2012: 163-174 - 2010
- [c9]Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, Haesun Park:
iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction. IEEE VAST 2010: 27-34 - [c8]Zhicheng Liu, Carsten Görg, Jaeyeon Kihm, Hanseung Lee, Jaegul Choo, Haesun Park, John T. Stasko:
Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest. IEEE VAST 2010: 271-272 - [c7]Hanseung Lee, Jaegul Choo, Carsten Görg, Jaeeun Shim, Jaeyeon Kihm, Zhicheng Liu, Haesun Park, John T. Stasko:
GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation. IEEE VAST 2010: 291-292 - [c6]Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park:
p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics. SDM 2010: 502-513
2000 – 2009
- 2009
- [c5]Jaegul Choo, Shawn Bohn, Haesun Park:
Two-stage framework for visualization of clustered high dimensional data. IEEE VAST 2009: 67-74 - [c4]Jaegul Choo, Emily Fujimoto, Hanseung Lee, Pedro R. Walteros:
Timeline analysis of undercover activities VAST 2009 traffic mini challenge award: Good analytical technique. IEEE VAST 2009: 245-246 - [c3]Jaegul Choo, Barry L. Drake, Haesun Park:
Hierarchical Linear Discriminant Analysis for Beamforming. SDM 2009: 894-905 - 2008
- [c2]Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo Kang:
Linear discriminant analysis for data with subcluster structure. ICPR 2008: 1-4 - 2007
- [c1]Jaegul Choo, Hyunsoo Kim, Haesun Park, Hongyuan Zha:
A Comparison of Unsupervised Dimension Reduction Algorithms for Classification. BIBM 2007: 71-77
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-21 00:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
