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2020 – today
- 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)- [c155]Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo:
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds. AAAI 2024: 1335-1343 - [c154]Junha Hyung, Jaeyo Shin, Jaegul Choo:
MagiCapture: High-Resolution Multi-Concept Portrait Customization. AAAI 2024: 2445-2453 - [c153]Dongmin Kim, Sunghyun Park, Jaegul Choo:
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection. AAAI 2024: 13113-13121 - [c152]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 - [c151]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 - [c150]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 - [c149]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 - [c148]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 - [c147]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 - [c146]Jooyeol Yun, Jaegul Choo:
Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization. ECCV (40) 2024: 323-339 - [c145]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 - [c144]Jaeseong Lee, Junha Hyung, Sohyun Jung, Jaegul Choo:
SelfSwapper: Self-supervised Face Swapping via Shape Agnostic Masked AutoEncoder. ECCV (55) 2024: 383-400 - [c143]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 - [c142]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 - [c141]Minseok Choi, Kyunghyun Min, Jaegul Choo:
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models. EMNLP (Findings) 2024: 10732-10747 - [c140]Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo:
Expression Domain Translation Network for Cross-Domain Head Reenactment. ICASSP 2024: 7356-7359 - [c139]Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi:
Self-Supervised Contrastive Learning for Long-term Forecasting. ICLR 2024 - [c138]Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo:
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control. ICML 2024 - [c137]Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo:
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning. ICML 2024 - [c136]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 - [c135]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 - [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 - [i138]Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi:
Self-Supervised Contrastive Forecasting. CoRR abs/2402.02023 (2024) - [i137]Jaeseong Lee, Junha Hyung, Sohyun Jeong, Jaegul Choo:
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder. CoRR abs/2402.07370 (2024) - [i136]ChaeHun Park, Minseok Choi, Dohyun Lee, Jaegul Choo:
PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison. CoRR abs/2404.01015 (2024) - [i135]Jinhee Kim, Taesung Kim, Jaegul Choo:
Group-wise Prompting for Synthetic Tabular Data Generation using Large Language Models. CoRR abs/2404.12404 (2024) - [i134]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) - [i133]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) - [i132]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) - [i131]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) - [i130]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) - [i129]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) - [i128]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) - [i127]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) - [i126]Seungbin Yang, ChaeHun Park, Taehee Kim, Jaegul Choo:
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions? CoRR abs/2406.12307 (2024) - [i125]Hawon Jeong, ChaeHun Park, Jimin Hong, Jaegul Choo:
PRePair: Pointwise Reasoning Enhance Pairwise Evaluating for Robust Instruction-Following Assessments. CoRR abs/2406.12319 (2024) - [i124]Minseok Choi, Daniel Rim, Dohyun Lee, Jaegul Choo:
SNAP: Unlearning Selective Knowledge in Large Language Models with Negative Instructions. CoRR abs/2406.12329 (2024) - [i123]Minseok Choi, Kyunghyun Min, Jaegul Choo:
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models. CoRR abs/2406.12354 (2024) - [i122]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) - [i121]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) - [i120]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) - [i119]Jooyeol Yun, Jaegul Choo:
Scaling Up Personalized Aesthetic Assessment via Task Vector Customization. CoRR abs/2407.07176 (2024) - [i118]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) - [i117]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) - [i116]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) - [i115]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) - [i114]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) - [i113]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) - [i112]Kyungmin Jo, Jaegul Choo:
Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects. CoRR abs/2409.02653 (2024) - [i111]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) - [i110]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) - [i109]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) - [i108]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) - [i107]Minseok Choi, ChaeHun Park, Dohyun Lee, Jaegul Choo:
Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning. CoRR abs/2410.13274 (2024) - [i106]Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amirhossein Habibian, Auke Wiggers:
Generative Location Modeling for Spatially Aware Object Insertion. CoRR abs/2410.13564 (2024) - [i105]ChaeHun Park, Hojun Cho, Jaegul Choo:
Evaluating and Improving Automatic Speech Recognition Systems for Korean Meteorological Experts. CoRR abs/2410.18444 (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.