Jaegul Choo

403 papers A* 80A 25B 5C 2Misc 4Journal 219Unranked 67
YearRankTypeTitle / Venue / Authors
2026 J jnl
BankMathBench: A Benchmark for Numerical Reasoning in Banking Scenarios.
CoRR
Yunseung Lee, Subin Kim, Youngjun Kwak, Jaegul Choo
2026 J jnl
ExpGuard: LLM Content Moderation in Specialized Domains.
CoRR
Minseok Choi, Dongjin Kim, Seungbin Yang, Subin Kim, Youngjun Kwak, Juyoung Oh, Jaegul Choo, Jungmin Son
2026 J jnl
LiveWeb-IE: A Benchmark For Online Web Information Extraction.
CoRR
Seungbin Yang, Jihwan Kim, Jaemin Choi, Dongjin Kim, Soyoung Yang, ChaeHun Park, Jaegul Choo
2026 J jnl
Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping.
CoRR
Sunghyun Park, Jeongho Kim, Hyoungwoo Park, Debasmit Das, Sungrack Yun, Munawar Hayat, Jaegul Choo, Fatih Porikli, Seokeon Choi
2026 J jnl
Not the Example, but the Process: How Self-Generated Examples Enhance LLM Reasoning.
CoRR
Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo
2026 J jnl
OPRO: Orthogonal Panel-Relative Operators for Panel-Aware In-Context Image Generation.
CoRR
Sanghyeon Lee, Minwoo Lee, Euijin Shin, Kangyeol Kim, Seunghwan Choi, Jaegul Choo
2026 J jnl
SLICE: Speech Enhancement via Layer-wise Injection of Conditioning Embeddings.
CoRR
Seokhoon Moon, Kyudan Jung, Jaegul Choo
2026 J jnl
SNAP: Speaker Nulling for Artifact Projection in Speech Deepfake Detection.
CoRR
Kyudan Jung, Jihwan Kim, Minwoo Lee, Soyoon Kim, Jeonghoon Kim, Jaegul Choo, Cheonbok Park
2026 J jnl
Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models.
CoRR
Kyudan Jung, Jihwan Kim, Soyoon Kim, Jeonghoon Kim, Jaegul Choo, Cheonbok Park
2026 A* conf
SphereDiff: Tuning-free 360° Static and Dynamic Panorama Generation via Spherical Latent Representation.
AAAI
Minho Park, Taewoong Kang, Jooyeol Yun, Sungwon Hwang, Jaegul Choo
2026 A* conf
Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals.
AAAI
Chung Park, Taesan Kim, Hyeongjun Yun, Dongjoon Hong, Junui Hong, Kijung Park, Mincheol Cho, Minsung Choi, Jihwan Seok, Jaegul Choo
2026 J jnl
VisualScratchpad: Inference-time Visual Concepts Analysis in Vision Language Models.
CoRR
Hyesu Lim, Jinho Choi, Taekyung Kim, Byeongho Heo, Jaegul Choo, Dongyoon Han
2025 J jnl
ACG: Action Coherence Guidance for Flow-based VLA models.
CoRR
Minho Park, Kinam Kim, Junha Hyung, Hyojin Jang, Hoiyeong Jin, Jooyeol Yun, Hojoon Lee, Jaegul Choo
2025 J jnl
Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment.
CoRR
Jinhee Kim, Taesung Kim, Taewoo Kim, Dong-Wook Kim, Byungduk Ahn, Yoon-Ji Kim, In-Seok Song, Jaegul Choo
2025 J jnl
Attend-and-Refine: Interactive keypoint estimation and quantitative cervical vertebrae analysis for bone age assessment.
Medical Image Anal.
Jinhee Kim, Taesung Kim, Taewoo Kim, Dong-Wook Kim, Byungduk Ahn, Yoon-Ji Kim, In-Seok Song, Jaegul Choo
2025 J jnl
Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data.
CoRR
Sungbok Shin, Sunghyo Chung, Hyeon Jeon, Hyunwook Lee, Minje Choi, Taehun Kim, Jaehoon Choi, Sungahn Ko, Jaegul Choo
2025 — conf
Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information.
EMNLP (Industry Track)
Hojun Cho, Donghu Kim, Soyoung Yang, Chan Lee, Hunjoo Lee, Jaegul Choo
2025 J jnl
Building Resource-Constrained Language Agents: A Korean Case Study on Chemical Toxicity Information.
CoRR
Hojun Cho, Donghu Kim, Soyoung Yang, Chan Lee, Hunjoo Lee, Jaegul Choo
2025 J jnl
Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess.
CoRR
Dongyoon Hwang, Hojoon Lee, Jaegul Choo, Dongmin Park, Jongho Park
2025 J jnl
Concept-Aware LoRA for Domain-Aligned Segmentation Dataset Generation.
CoRR
Minho Park, Sunghyun Park, Jungsoo Lee, Hyojin Park, Kyuwoong Hwang, Fatih Porikli, Jaegul Choo, Sungha Choi
2025 J jnl
ConceptScope: Characterizing Dataset Bias via Disentangled Visual Concepts.
CoRR
Jinho Choi, Hyesu Lim, Steffen Schneider, Jaegul Choo
2025 J jnl
Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models.
CoRR
Sungwon Hwang, Hyojin Jang, Kinam Kim, Minho Park, Jaegul Choo
2025 J jnl
Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models.
CoRR
Cheonbok Park, Jeonghoon Kim, Joosung Lee, Sanghwan Bae, Jaegul Choo, Kang Min Yoo
2025 J jnl
DesignLab: Designing Slides Through Iterative Detection and Correction.
CoRR
Jooyeol Yun, Heng Wang, Yotaro Shimose, Jaegul Choo, Shingo Takamatsu
2025 A* conf
Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention.
CVPR
Kyungmin Jo, Jooyeol Yun, Jaegul Choo
2025 J jnl
Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention.
CoRR
Kyungmin Jo, Jooyeol Yun, Jaegul Choo
2025 A conf
Disentangling Subject-Irrelevant Elements in Personalized Text-to-Image Diffusion via Filtered Self-Distillation.
WACV
Seunghwan Choi, Jooyeol Yun, Jeonghoon Park, Jaegul Choo
2025 J jnl
EgoX: Egocentric Video Generation from a Single Exocentric Video.
CoRR
Taewoong Kang, Kinam Kim, Dohyeon Kim, Minho Park, Junha Hyung, Jaegul Choo
2025 A* conf
Enabling Region-Specific Control via Lassos in Point-Based Colorization.
AAAI
Sanghyeon Lee, Jooyeol Yun, Jaegul Choo
2025 — conf
Evaluating Automatic Speech Recognition Systems for Korean Meteorological Experts.
EMNLP (Findings)
ChaeHun Park, Hojun Cho, Jaegul Choo
2025 — conf
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration.
ACL (1)
ChaeHun Park, Yujin Baek, Jaeseok Kim, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo
2025 — conf
Exploring In-context Example Generation for Machine Translation.
ACL (Findings)
Dohyun Lee, Seungil Chad Lee, Chanwoo Yang, Yujin Baek, Jaegul Choo
2025 J jnl
Exploring In-context Example Generation for Machine Translation.
CoRR
Dohyun Lee, Seungil Chad Lee, Chanwoo Yang, Yujin Baek, Jaegul Choo
2025 J jnl
Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention.
CoRR
Jeonghoon Park, Juyoung Lee, Chaeyeon Chung, Jaeseong Lee, Jaegul Choo, Jindong Gu
2025 J jnl
From Wardrobe to Canvas: Wardrobe Polyptych LoRA for Part-level Controllable Human Image Generation.
CoRR
Jeongho Kim, Sunghyun Park, Hyoungwoo Park, Sungrack Yun, Jaegul Choo, Seokeon Choi
2025 J jnl
GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text.
CoRR
Gyumin Shim, Sangmin Lee, Jaegul Choo
2025 J jnl
Good Noise Makes Good Edits: A Training-Free Diffusion-Based Video Editing with Image and Text Prompts.
CoRR
Saemee Choi, Sohyun Jeong, Jaegul Choo, Jinhee Kim
2025 A* conf
Hyperspherical Normalization for Scalable Deep Reinforcement Learning.
ICML
Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo
2025 J jnl
Hyperspherical Normalization for Scalable Deep Reinforcement Learning.
CoRR
Hojoon Lee, Youngdo Lee, Takuma Seno, Donghu Kim, Peter Stone, Jaegul Choo
2025 J jnl
Infinite-Homography as Robust Conditioning for Camera-Controlled Video Generation.
CoRR
Min-Jung Kim, Jeongho Kim, Hoiyeong Jin, Junha Hyung, Jaegul Choo
2025 J jnl
InsertAnywhere: Bridging 4D Scene Geometry and Diffusion Models for Realistic Video Object Insertion.
CoRR
Hoiyeong Jin, Hyojin Jang, Jeongho Kim, Junha Hyung, Kinam Kim, Dongjin Kim, Huijin Choi, Hyeonji Kim, Jaegul Choo
2025 J jnl
One More Glance with Sharp Eyes: Rethinking Lightweight Captioning as a Practical Visual Specialist.
CoRR
Junha Song, Yongsik Jo, So Yeon Min, Quanting Xie, Taehwan Kim, Yonatan Bisk, Jaegul Choo
2025 — conf
Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport.
ACL (1)
Minseok Choi, Daniel Rim, Dohyun Lee, Jaegul Choo
2025 J jnl
PHUMA: Physically-Grounded Humanoid Locomotion Dataset.
CoRR
Kyungmin Lee, Sibeen Kim, Minho Park, Hyunseung Kim, Dongyoon Hwang, Hojoon Lee, Jaegul Choo
2025 J jnl
RL makes MLLMs see better than SFT.
CoRR
Junha Song, Sangdoo Yun, Dongyoon Han, Jaegul Choo, Byeongho Heo
2025 — conf
Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models.
ACL (2)
Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo
2025 J jnl
Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models.
CoRR
Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo
2025 A* conf
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs.
EMNLP
Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo
2025 J jnl
Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs.
CoRR
Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo
2025 A* conf
ShoeGenAI: A Creativity Support Tool Bridging Design Intention and Feasibility in Shoe Design.
UIST
Hui-Jun Kim, Jeongho Kim, Sohyun Jeong, Minbong Lee, Jaegul Choo, Sung-Hee Kim
2025 — conf
ShoeGenAI: A Creativity Support Tool for High-Feasible Shoe Product Design.
CHI Extended Abstracts
Hui-Jun Kim, Jeongho Kim, Sohyun Jeong, Minbong Lee, Jaegul Choo, Sung-Hee Kim
2025 A* conf
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning.
ICLR
Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno
2025 — conf
Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation.
NAACL (Long Papers)
Soyoung Yang, Hojun Cho, Jiyoung Lee, Sohee Yoon, Edward Choi, Jaegul Choo, Won Ik Cho
2025 A conf
Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects.
WACV
Kyungmin Jo, Jaegul Choo
2025 A* conf
Sparse autoencoders reveal selective remapping of visual concepts during adaptation.
ICLR
Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider
2025 A* conf
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling.
CVPR
Junha Hyung, Kinam Kim, Susung Hong, Min-Jung Kim, Jaegul Choo
2025 J jnl
SphereDiff: Tuning-free Omnidirectional Panoramic Image and Video Generation via Spherical Latent Representation.
CoRR
Minho Park, Taewoong Kang, Jooyeol Yun, Sungwon Hwang, Jaegul Choo
2025 A* conf
SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars.
ICLR
Jaeseong Lee, Taewoong Kang, Marcel C. Bühler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo
2025 J jnl
TV-LiVE: Training-Free, Text-Guided Video Editing via Layer Informed Vitality Exploitation.
CoRR
Min-Jung Kim, Dongjin Kim, Seokju Yun, Jaegul Choo
2025 J jnl
Talk to Your Slides: Language-Driven Agents for Efficient Slide Editing.
CoRR
Kyudan Jung, Hojun Cho, Jooyeol Yun, Soyoung Yang, Jaehyeok Jang, Jaegul Choo
2025 J jnl
Temporal In-Context Fine-Tuning for Versatile Control of Video Diffusion Models.
CoRR
Kinam Kim, Junha Hyung, Jaegul Choo
2025 J jnl
TexAvatars : Hybrid Texel-3D Representations for Stable Rigging of Photorealistic Gaussian Head Avatars.
CoRR
Jaeseong Lee, Junyeong Ahn, Taewoong Kang, Jaegul Choo
2025 J jnl
The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results.
CoRR
Qiuyu Chen, Xin Jin, Yue Song, Xihui Liu, Shuai Yang, Tao Yang, Ziqiang Li, Jianguo Huang, Yuntao Wei, Baao Xie, Nicu Sebe, Wenjun Zeng, Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amir Habibian, Auke J. Wiggers, Masato Kobayashi, Ning Ding, Toru Tamaki, Marzieh Gheisari, Auguste Genovesio, Yuheng Chen, Dingkun Liu, Xinyao Yang, Xinping Xu, Baicheng Chen, Dongrui Wu, Junhao Geng, Lexiang Lv, Jianxin Lin, Hanzhe Liang, Jie Zhou, Xuanxin Chen, Jinbao Wang, Can Gao, Zhangyi Wang, Zongze Li, Bihan Wen, Yixin Gao, Xiaohan Pan, Xin Li, Zhibo Chen, Baorui Peng, Zhongming Chen, Haoran Jin
2025 — conf
To Chat or Task: a Multi-turn Dialogue Generation Framework for Task-Oriented Dialogue Systems.
ACL (6)
Daniel Rim, Minsoo Cho, Changwoo Chun, Jaegul Choo
2025 J jnl
Vector Prism: Animating Vector Graphics by Stratifying Semantic Structure.
CoRR
Jooyeol Yun, Jaegul Choo
2025 A* conf
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer.
AAAI
Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo
2025 A* conf
Zero-Shot Head Swapping in Real-World Scenarios.
CVPR
Taewoong Kang, Sohyun Jeong, Hyojin Jang, Jaegul Choo
2025 J jnl
Zero-Shot Head Swapping in Real-World Scenarios.
CoRR
Taewoong Kang, Sohyun Jeong, Hyojin Jang, Jaegul Choo
2024 A* conf
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control.
ICML
Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo
2024 J jnl
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control.
CoRR
Dongyoon Hwang, Byungkun Lee, Hojoon Lee, Hyunseung Kim, Jaegul Choo
2024 — conf
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation Through Collaborative Error Revision.
ECCV (87)
Jinhee Kim, Taesung Kim, Jaegul Choo
2024 J jnl
Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision.
CoRR
Jinhee Kim, Taesung Kim, Jaegul Choo
2024 J jnl
Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning.
CoRR
Minseok Choi, ChaeHun Park, Dohyun Lee, Jaegul Choo
2024 J jnl
Can Tool-augmented Large Language Models be Aware of Incomplete Conditions?
CoRR
Seungbin Yang, ChaeHun Park, Taehee Kim, Jaegul Choo
2024 — conf
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models.
EMNLP (Findings)
Minseok Choi, Kyunghyun Min, Jaegul Choo
2024 J jnl
Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models.
CoRR
Minseok Choi, Kyunghyun Min, Jaegul Choo
2024 A* conf
Do's and Don'ts: Learning Desirable Skills with Instruction Videos.
NeurIPS
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo
2024 J jnl
Do's and Don'ts: Learning Desirable Skills with Instruction Videos.
CoRR
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo
2024 A* conf
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models.
NeurIPS
Jinhee Kim, Taesung Kim, Jaegul Choo
2024 A* conf
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting.
NeurIPS
Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim
2024 J jnl
Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting.
CoRR
Junha Hyung, Susung Hong, Sungwon Hwang, Jaeseong Lee, Jaegul Choo, Jin-Hwa Kim
2024 J jnl
Enabling Region-Specific Control via Lassos in Point-Based Colorization.
CoRR
Sanghyeon Lee, Jooyeol Yun, Jaegul Choo
2024 A* conf
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair.
CVPR
Jeonghoon Park, Chaeyeon Chung, Jaegul Choo
2024 J jnl
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair.
CoRR
Jeonghoon Park, Chaeyeon Chung, Juyoung Lee, Jaegul Choo
2024 J jnl
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration.
CoRR
Yujin Baek, ChaeHun Park, Jaeseok Kim, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo
2024 J jnl
Evaluating and Improving Automatic Speech Recognition Systems for Korean Meteorological Experts.
CoRR
ChaeHun Park, Hojun Cho, Jaegul Choo
2024 Misc conf
Expression Domain Translation Network for Cross-Domain Head Reenactment.
ICASSP
Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo
2024 — conf
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling.
EMNLP (Findings)
Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo
2024 J jnl
Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling.
CoRR
Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo
2024 J jnl
Generative Location Modeling for Spatially Aware Object Insertion.
CoRR
Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amirhossein Habibian, Auke J. Wiggers
2024 J jnl
Group-wise Prompting for Synthetic Tabular Data Generation using Large Language Models.
CoRR
Jinhee Kim, Taesung Kim, Jaegul Choo
2024 A* conf
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning.
ICML
Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo
2024 J jnl
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning.
CoRR
Donghu Kim, Hojoon Lee, Kyungmin Lee, Dongyoon Hwang, Jaegul Choo
2024 — conf
Is User Feedback Always Informative? Retrieval Latent Defending for Semi-supervised Domain Adaptation Without Source Data.
ECCV (25)
Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, Jaegul Choo
2024 J jnl
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data.
CoRR
Junha Song, Tae Soo Kim, Junha Kim, Gunhee Nam, Thijs Kooi, Jaegul Choo
2024 J jnl
Layout-and-Retouch: A Dual-stage Framework for Improving Diversity in Personalized Image Generation.
CoRR
Kangyeol Kim, Wooseok Seo, Sehyun Nam, Bodam Kim, Suhyeon Jeong, Wonwoo Cho, Jaegul Choo, Youngjae Yu
2024 A conf
LensNeRF: Rethinking Volume Rendering based on Thin-Lens Camera Model.
WACV
Min-Jung Kim, Gyojung Gu, Jaegul Choo
2024 A* conf
MagiCapture: High-Resolution Multi-Concept Portrait Customization.
AAAI
Junha Hyung, Jaeyo Shin, Jaegul Choo
2024 J jnl
PRePair: Pointwise Reasoning Enhance Pairwise Evaluating for Robust Instruction-Following Assessments.
CoRR
Hawon Jeong, ChaeHun Park, Jimin Hong, Jaegul Choo
2024 A* conf
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation.
SIGIR
Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo
2024 J jnl
Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation.
CoRR
Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo
2024 J jnl
PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison.
CoRR
ChaeHun Park, Minseok Choi, Dohyun Lee, Jaegul Choo
2024 J jnl
PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask.
CoRR
Jeongho Kim, Hoiyeong Jin, Sunghyun Park, Jaegul Choo
2024 — conf
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models.
ACL (Findings)
Dohyun Lee, Daniel Rim, Minseok Choi, Jaegul Choo
2024 J jnl
Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models.
CoRR
Dohyun Lee, Daniel Rim, Minseok Choi, Jaegul Choo
2024 J jnl
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models.
CoRR
Minho Park, Sunghyun Park, Jooyeol Yun, Jaegul Choo
2024 J jnl
SNAP: Unlearning Selective Knowledge in Large Language Models with Negative Instructions.
CoRR
Minseok Choi, Daniel Rim, Dohyun Lee, Jaegul Choo
2024 J jnl
Scaling Up Personalized Aesthetic Assessment via Task Vector Customization.
CoRR
Jooyeol Yun, Jaegul Choo
2024 — conf
Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization.
ECCV (40)
Jooyeol Yun, Jaegul Choo
2024 J jnl
See, caption, cluster: Large-scale image analysis using captioning and topic modeling.
Expert Syst. Appl.
Kyeongpil Kang, Kyohoon Jin, Soojin Jang, Jaegul Choo, YoungBin Kim
2024 J jnl
Self-Supervised Contrastive Forecasting.
CoRR
Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
2024 A* conf
Self-Supervised Contrastive Learning for Long-term Forecasting.
ICLR
Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
2024 J jnl
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder.
CoRR
Jaeseong Lee, Junha Hyung, Sohyun Jeong, Jaegul Choo
2024 — conf
SelfSwapper: Self-supervised Face Swapping via Shape Agnostic Masked AutoEncoder.
ECCV (55)
Jaeseong Lee, Junha Hyung, Sohyun Jung, Jaegul Choo
2024 J jnl
SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning.
CoRR
Hojoon Lee, Dongyoon Hwang, Donghu Kim, Hyunseung Kim, Jun Jet Tai, Kaushik Subramanian, Peter R. Wurman, Jaegul Choo, Peter Stone, Takuma Seno
2024 J jnl
Single Ground Truth Is Not Enough: Add Linguistic Variability to Aspect-based Sentiment Analysis Evaluation.
CoRR
Soyoung Yang, Hojun Cho, Jiyoung Lee, Sohee Yoon, Edward Choi, Jaegul Choo, Won Ik Cho
2024 J jnl
Skip-and-Play: Depth-Driven Pose-Preserved Image Generation for Any Objects.
CoRR
Kyungmin Jo, Jaegul Choo
2024 A conf
Slice and Conquer: A Planar-to-3D Framework for Efficient Interactive Segmentation of Volumetric Images.
WACV
Wonwoo Cho, Dongmin Choi, Hyesu Lim, Jinho Choi, Saemee Choi, Hyunseok Min, Sungbin Lim, Jaegul Choo
2024 A* conf
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks.
ICML
Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, Clare Lyle
2024 J jnl
Slow and Steady Wins the Race: Maintaining Plasticity with Hare and Tortoise Networks.
CoRR
Hojoon Lee, Hyeonseo Cho, Hyunseung Kim, Donghu Kim, Dugki Min, Jaegul Choo, Clare Lyle
2024 J jnl
Sparse autoencoders reveal selective remapping of visual concepts during adaptation.
CoRR
Hyesu Lim, Jinho Choi, Jaegul Choo, Steffen Schneider
2024 J jnl
Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling.
CoRR
Junha Hyung, Kinam Kim, Susung Hong, Min-Jung Kim, Jaegul Choo
2024 A* conf
Stable VITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.
CVPR
Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo
2024 J jnl
SurFhead: Affine Rig Blending for Geometrically Accurate 2D Gaussian Surfel Head Avatars.
CoRR
Jaeseong Lee, Taewoong Kang, Marcel C. Bühler, Min-Jung Kim, Sungwon Hwang, Junha Hyung, Hyojin Jang, Jaegul Choo
2024 — conf
TCAN: Animating Human Images with Temporally Consistent Pose Guidance Using Diffusion Models.
ECCV (59)
Jeongho Kim, Min-Jung Kim, Junsoo Lee, Jaegul Choo
2024 J jnl
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models.
CoRR
Jeongho Kim, Min-Jung Kim, Junsoo Lee, Jaegul Choo
2024 A* conf
Towards Calibrated Robust Fine-Tuning of Vision-Language Models.
NeurIPS
Changdae Oh, Hyesu Lim, Mijoo Kim, Dongyoon Han, Sangdoo Yun, Jaegul Choo, Alexander Hauptmann, Zhi-Qi Cheng, Kyungwoo Song
2024 A* conf
Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning.
ACM Multimedia
Wonwoo Cho, Kangyeol Kim, Saemee Choi, Jaegul Choo
2024 J jnl
Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning.
CoRR
Wonwoo Cho, Kangyeol Kim, Saemee Choi, Jaegul Choo
2024 — conf
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering.
ACL (Findings)
ChaeHun Park, Koanho Lee, Hyesu Lim, Jaeseok Kim, Junmo Park, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo
2024 J jnl
Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering.
CoRR
ChaeHun Park, Koanho Lee, Hyesu Lim, Jaeseok Kim, Junmo Park, Yu-Jung Heo, Du-Seong Chang, Jaegul Choo
2024 — conf
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting Using Learned Priors.
ECCV (55)
Sungwon Hwang, Min-Jung Kim, Taewoong Kang, Jayeon Kang, Jaegul Choo
2024 J jnl
VEGS: View Extrapolation of Urban Scenes in 3D Gaussian Splatting using Learned Priors.
CoRR
Sungwon Hwang, Min-Jung Kim, Taewoong Kang, Jayeon Kang, Jaegul Choo
2024 J jnl
What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer.
CoRR
Chaeyeon Chung, Sunghyun Park, Jeongho Kim, Jaegul Choo
2024 A* conf
When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection.
AAAI
Dongmin Kim, Sunghyun Park, Jaegul Choo
2024 A* conf
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds.
AAAI
Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo
2023 A* conf
3D-Aware Generative Model for Improved Side-View Image Synthesis.
ICCV
Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho
2023 J jnl
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.
IEEE Trans. Vis. Comput. Graph.
Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko
2023 — conf
AniEE: A Dataset of Animal Experimental Literature for Event Extraction.
EMNLP (Findings)
Dohee Kim, Ra Yoo, Soyoung Yang, Hee Yang, Jaegul Choo
2023 A* conf
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation.
ICCV
Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo
2023 A conf
CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-aware Image Synthesis.
WACV
Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo
2023 A conf
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation.
CIKM
Chung Park, Taesan Kim, Taekyoon Choi, Junui Hong, Yelim Yu, Mincheol Cho, Kyunam Lee, Sungil Ryu, Hyungjun Yoon, Minsung Choi, Jaegul Choo
2023 J jnl
Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation.
CoRR
Chung Park, Taesan Kim, Taekyoon Choi, Junui Hong, Yelim Yu, Mincheol Cho, Kyunam Lee, Sungil Ryu, Hyungjun Yoon, Minsung Choi, Jaegul Choo
2023 — conf
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation.
ACL (Findings)
ChaeHun Park, Seungil Chad Lee, Daniel Rim, Jaegul Choo
2023 J jnl
DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation.
CoRR
ChaeHun Park, Seungil Chad Lee, Daniel Rim, Jaegul Choo
2023 — conf
Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density.
ECML/PKDD (5)
Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi
2023 J jnl
Deep Imbalanced Time-series Forecasting via Local Discrepancy Density.
CoRR
Junwoo Park, Jungsoo Lee, Youngin Cho, Woncheol Shin, Dongmin Kim, Jaegul Choo, Edward Choi
2023 J jnl
Editorial: Guest Editors' Introduction: Special Section on IEEE PacificVis 2023.
IEEE Trans. Vis. Comput. Graph.
Jaegul Choo, Timo Ropinski, Yifan Hu
2023 J jnl
Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning.
CoRR
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
2023 J jnl
Explainable Artificial Intelligence Approach to Identify the Origin of Phonon-Assisted Emission in WSe
Adv. Intell. Syst.
Jaekak Yoo, Youngwoo Cho, Byeonggeun Jeong, Soo Ho Choi, Ki Kang Kim, Seong Chu Lim, Seung Mi Lee, Jaegul Choo, Mun Seok Jeong
2023 J jnl
Expression Domain Translation Network for Cross-domain Head Reenactment.
CoRR
Taewoong Kang, Jeongsik Oh, Jaeseong Lee, Sunghyun Park, Jaegul Choo
2023 A* conf
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields.
ICCV
Sungwon Hwang, Junha Hyung, DaeJin Kim, Min-Jung Kim, Jaegul Choo
2023 J jnl
FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields.
CoRR
Sungwon Hwang, Junha Hyung, DaeJin Kim, Min-Jung Kim, Jaegul Choo
2023 — conf
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning.
SIGSPATIAL/GIS
Chung Park, Taekyoon Choi, Taesan Kim, Mincheol Cho, Junui Hong, Minsung Choi, Jaegul Choo
2023 J jnl
FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning.
CoRR
Chung Park, Taekyoon Choi, Taesan Kim, Mincheol Cho, Junui Hong, Minsung Choi, Jaegul Choo
2023 A conf
Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization.
WACV
Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, Jaegul Choo
2023 J jnl
HPCClusterScape: Increasing Transparency and Efficiency of Shared High-Performance Computing Clusters for Large-scale AI Models.
CoRR
Heungseok Park, Aeree Cho, Hyojun Jeon, Hayoung Lee, Youngil Yang, Sungjae Lee, Heungsub Lee, Jaegul Choo
2023 — conf
HistRED: A Historical Document-Level Relation Extraction Dataset.
ACL (1)
Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo
2023 J jnl
HistRED: A Historical Document-Level Relation Extraction Dataset.
CoRR
Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo
2023 J jnl
Improving Scene Text Recognition for Character-Level Long-Tailed Distribution.
CoRR
Sunghyun Park, Sunghyo Chung, Jungsoo Lee, Jaegul Choo
2023 A* conf
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts.
ICCV
Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun
2023 J jnl
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts.
CoRR
Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun
2023 A* conf
Learning to Discover Skills through Guidance.
NeurIPS
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo
2023 J jnl
Learning to Discover Skills through Guidance.
CoRR
Hyunseung Kim, Byungkun Lee, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo
2023 — conf
Learning to Diversify Neural Text Generation via Degenerative Model.
IJCNLP (Findings)
Jimin Hong, ChaeHun Park, Jaegul Choo
2023 J jnl
Learning to Diversify Neural Text Generation via Degenerative Model.
CoRR
Jimin Hong, ChaeHun Park, Jaegul Choo
2023 A* conf
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis.
ICCV
Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo
2023 J jnl
Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis.
CoRR
Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo
2023 A* conf
Local 3D Editing via 3D Distillation of CLIP Knowledge.
CVPR
Junha Hyung, Sungwon Hwang, DaeJin Kim, Hyunji Lee, Jaegul Choo
2023 J jnl
Local 3D Editing via 3D Distillation of CLIP Knowledge.
CoRR
Junha Hyung, Sungwon Hwang, DaeJin Kim, Hyunji Lee, Jaegul Choo
2023 J jnl
MagiCapture: High-Resolution Multi-Concept Portrait Customization.
CoRR
Junha Hyung, Jaeyo Shin, Jaegul Choo
2023 A* conf
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning.
ICML
Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo
2023 J jnl
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning.
CoRR
Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo
2023 J jnl
PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction.
CoRR
Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo
2023 A* conf
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning.
NeurIPS
Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
2023 — conf
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration.
IJCNLP (Findings)
Minseok Choi, Hyesu Lim, Jaegul Choo
2023 J jnl
PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration.
CoRR
Minseok Choi, Hyesu Lim, Jaegul Choo
2023 — conf
PePe: Personalized Post-editing Model utilizing User-generated Post-edits.
EACL (Findings)
Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo
2023 J jnl
Perspective Projection-Based 3D CT Reconstruction from Biplanar X-rays.
CoRR
Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi
2023 Misc conf
Perspective Projection-Based 3d CT Reconstruction from Biplanar X-Rays.
ICASSP
Daeun Kyung, Kyungmin Jo, Jaegul Choo, Joonseok Lee, Edward Choi
2023 J jnl
PixelHuman: Animatable Neural Radiance Fields from Few Images.
CoRR
Gyumin Shim, Jaeseong Lee, Junha Hyung, Jaegul Choo
2023 — conf
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations.
ECML/PKDD (7)
Chung Park, Taesan Kim, Junui Hong, Minsung Choi, Jaegul Choo
2023 J jnl
Pre-training Contextual Location Embeddings in Personal Trajectories via Efficient Hierarchical Location Representations.
CoRR
Chung Park, Taesan Kim, Junui Hong, Minsung Choi, Jaegul Choo
2023 J jnl
Reference-based Image Composition with Sketch via Structure-aware Diffusion Model.
CoRR
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Jaegul Choo
2023 A* conf
Revisiting the Importance of Amplifying Bias for Debiasing.
AAAI
Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo
2023 J jnl
RobustSwap: A Simple yet Robust Face Swapping Model against Attribute Leakage.
CoRR
Jaeseong Lee, Taewoo Kim, Sunghyun Park, Younggun Lee, Jaegul Choo
2023 A conf
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal.
CIKM
Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee, Jaegul Choo
2023 J jnl
ST-RAP: A Spatio-Temporal Framework for Real Estate Appraisal.
CoRR
Hojoon Lee, Hawon Jeong, Byungkun Lee, Kyungyup Daniel Lee, Jaegul Choo
2023 A* conf
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction.
ICCV
Chaeyeon Chung, Yeojeong Park, Seunghwan Choi, Munkhsoyol Ganbat, Jaegul Choo
2023 J jnl
Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction.
CoRR
Chaeyeon Chung, Yeojeong Park, Seunghwan Choi, Munkhsoyol Ganbat, Jaegul Choo
2023 J jnl
SideGAN: 3D-Aware Generative Model for Improved Side-View Image Synthesis.
CoRR
Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho
2023 — conf
SimCKP: Simple Contrastive Learning of Keyphrase Representations.
EMNLP (Findings)
Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, Jaegul Choo
2023 J jnl
SimCKP: Simple Contrastive Learning of Keyphrase Representations.
CoRR
Minseok Choi, Chaeheon Gwak, Seho Kim, Si Hyeong Kim, Jaegul Choo
2023 J jnl
Spelling Errors in Korean Students' Constructed Responses and the Efficacy of Automatic Spelling Correction on Automated Computer Scoring.
Technol. Knowl. Learn.
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
2023 J jnl
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On.
CoRR
Jeongho Kim, Gyojung Gu, Minho Park, Sunghyun Park, Jaegul Choo
2023 A* conf
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation.
ICLR
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
2023 J jnl
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation.
CoRR
Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
2023 J jnl
Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model.
CoRR
Sungwon Hwang, Junha Hyung, Jaegul Choo
2023 — conf
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints.
ACL (Findings)
Yujin Baek, Koanho Lee, Dayeon Ki, Cheonbok Park, Hyoung-Gyu Lee, Jaegul Choo
2023 J jnl
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints.
CoRR
Yujin Baek, Koanho Lee, Dayeon Ki, Hyoung-Gyu Lee, Cheonbok Park, Jaegul Choo
2023 — conf
Towards Formality-Aware Neural Machine Translation by Leveraging Context Information.
EMNLP (Findings)
Dohee Kim, Yujin Baek, Soyoung Yang, Jaegul Choo
2023 A* conf
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization.
ICCV
Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
2023 J jnl
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization.
CoRR
Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi
2023 A conf
Towards Physically Reliable Molecular Representation Learning.
UAI
Seunghoon Yi, Youngwoo Cho, Jinhwan Sul, Seung Woo Ko, Soo Kyung Kim, Jaegul Choo, Hongkee Yoon, Joonseok Lee
2023 J jnl
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems.
CoRR
Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo
2023 A conf
Training Auxiliary Prototypical Classifiers for Explainable Anomaly Detection in Medical Image Segmentation.
WACV
Wonwoo Cho, Jeonghoon Park, Jaegul Choo
2023 J jnl
When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection.
CoRR
Dongmin Kim, Sunghyun Park, Jaegul Choo
2023 A conf
iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer.
WACV
Jooyeol Yun, Sanghyeon Lee, Minho Park, Jaegul Choo
2023 J jnl
iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds.
CoRR
Dongmin Choi, Wonwoo Cho, Kangyeol Kim, Jaegul Choo
2022 J jnl
3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations.
CoRR
Minsoo Lee, Chaeyeon Chung, Hojun Cho, Min-Jung Kim, Sanghun Jung, Jaegul Choo, Minhyuk Sung
2022 J jnl
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models.
CoRR
Seungmin Jin, Hyunwook Lee, Cheonbok Park, Hyeshin Chu, Yunwon Tae, Jaegul Choo, Sungahn Ko
2022 — conf
AnimeCeleb: Large-Scale Animation CelebHeads Dataset for Head Reenactment.
ECCV (8)
Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo
2022 J jnl
BiasEnsemble: Revisiting the Importance of Amplifying Bias for Debiasing.
CoRR
Jungsoo Lee, Jeonghoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo
2022 J jnl
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation.
CoRR
Sanghun Jung, Jungsoo Lee, Nanhee Kim, Jaegul Choo
2022 A* conf
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition.
NeurIPS
Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee
2022 — conf
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation.
EuroVis (Short Papers)
Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, Jaegul Choo
2022 J jnl
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation.
CoRR
Bum Chul Kwon, Jungsoo Lee, Chaeyeon Chung, Nyoungwoo Lee, Ho-Jin Choi, Jaegul Choo
2022 J jnl
DebiasBench: Benchmark for Fair Comparison of Debiasing in Image Classification.
CoRR
Jungsoo Lee, Juyoung Lee, Sanghun Jung, Jaegul Choo
2022 A* conf
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games.
WWW
Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo
2022 J jnl
DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games.
CoRR
Hojoon Lee, Dongyoon Hwang, Hyunseung Kim, Byungkun Lee, Jaegul Choo
2022 C conf
Enemy Spotted: In-game Gun Sound Dataset for Gunshot Classification and Localization.
CoG
Junwoo Park, Youngwoo Cho, Gyuhyeon Sim, Hojoon Lee, Jaegul Choo
2022 J jnl
Enemy Spotted: in-game gun sound dataset for gunshot classification and localization.
CoRR
Junwoo Park, Youngwoo Cho, Gyuhyeon Sim, Hojoon Lee, Jaegul Choo
2022 J jnl
Guiding Users to Where to Give Color Hints for Efficient Interactive Sketch Colorization via Unsupervised Region Prioritization.
CoRR
Youngin Cho, Junsoo Lee, Soyoung Yang, Juntae Kim, Yeojeong Park, Haneol Lee, Mohammad Azam Khan, Daesik Kim, Jaegul Choo
2022 J jnl
HairFIT: Pose-Invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-Region-Aware Inpainting.
CoRR
Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo
2022 — conf
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions.
ECCV (17)
Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo
2022 J jnl
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions.
CoRR
Sangyun Lee, Gyojung Gu, Sunghyun Park, Seunghwan Choi, Jaegul Choo
2022 A* conf
Mining Multi-Label Samples from Single Positive Labels.
NeurIPS
Youngin Cho, DaeJin Kim, Mohammad Azam Khan, Jaegul Choo
2022 — conf
Morphology-Aware Interactive Keypoint Estimation.
MICCAI (3)
Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim
2022 J jnl
Morphology-Aware Interactive Keypoint Estimation.
CoRR
Jinhee Kim, Taesung Kim, Taewoo Kim, Jaegul Choo, Dong-Wook Kim, Byungduk Ahn, In-Seok Song, Yoon-Ji Kim
2022 — conf
PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction.
PAKDD (1)
Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo
2022 J jnl
PePe: Personalized Post-editing Model utilizing User-generated Post-edits.
CoRR
Jihyeon Lee, Taehee Kim, Yunwon Tae, Cheonbok Park, Jaegul Choo
2022 A* conf
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task.
EMNLP
Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, Jaegul Choo
2022 J jnl
Pneg: Prompt-based Negative Response Generation for Dialogue Response Selection Task.
CoRR
Nyoungwoo Lee, ChaeHun Park, Ho-Jin Choi, Jaegul Choo
2022 A* conf
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction.
ACM Multimedia
Gyumin Shim, Minsoo Lee, Jaegul Choo
2022 J jnl
ReFu: Refine and Fuse the Unobserved View for Detail-Preserving Single-Image 3D Human Reconstruction.
CoRR
Gyumin Shim, Minsoo Lee, Jaegul Choo
2022 A conf
Residual Correction in Real-Time Traffic Forecasting.
CIKM
DaeJin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo
2022 J jnl
Residual Correction in Real-Time Traffic Forecasting.
CoRR
DaeJin Kim, Youngin Cho, Dongmin Kim, Cheonbok Park, Jaegul Choo
2022 A* conf
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model.
EMNLP
Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-In Hwang, Minseok Choi, Edward Choi, Jaegul Choo
2022 A* conf
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift.
ICLR
Taesung Kim, Jinhee Kim, Yunwon Tae, Cheonbok Park, Jang-Ho Choi, Jaegul Choo
2022 B conf
Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity.
COLING
Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo
2022 J jnl
Reweighting Strategy based on Synthetic Data Identification for Sentence Similarity.
CoRR
Taehee Kim, ChaeHun Park, Jimin Hong, Radhika Dua, Edward Choi, Jaegul Choo
2022 — conf
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment.
ECCV (17)
Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo
2022 J jnl
Style Your Hair: Latent Optimization for Pose-Invariant Hairstyle Transfer via Local-Style-Aware Hair Alignment.
CoRR
Taewoo Kim, Chaeyeon Chung, Yoonseo Kim, Sunghyun Park, Kangyeol Kim, Jaegul Choo
2022 — conf
Towards Accurate Open-Set Recognition via Background-Class Regularization.
ECCV (25)
Wonwoo Cho, Jaegul Choo
2022 J jnl
Towards Accurate Open-Set Recognition via Background-Class Regularization.
CoRR
Wonwoo Cho, Jaegul Choo
2022 A* conf
Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems.
SIGIR
Hojoon Lee, Dongyoon Hwang, Kyushik Min, Jaegul Choo
2022 A* conf
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting.
NeurIPS
Youngin Cho, DaeJin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo
2022 J jnl
WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting.
CoRR
Youngin Cho, DaeJin Kim, Dongmin Kim, Mohammad Azam Khan, Jaegul Choo
2022 J jnl
iColoriT: Towards Propagating Local Hint to the Right Region in Interactive Colorization by Leveraging Vision Transformer.
CoRR
Sanghyeon Lee, Jooyeol Yun, Minho Park, Jaegul Choo
2021 — conf
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain.
EMNLP (1)
Jimin Hong, Taehee Kim, Hyesu Lim, Jaegul Choo
2021 J jnl
AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain.
CoRR
Jimin Hong, Taehee Kim, Hyesu Lim, Jaegul Choo
2021 A* conf
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data.
ICDE
Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko
2021 J jnl
An Empirical Experiment on Deep Learning Models for Predicting Traffic Data.
CoRR
Hyunwook Lee, Cheonbok Park, Seungmin Jin, Hyeshin Chu, Jaegul Choo, Sungahn Ko
2021 J jnl
AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models.
CoRR
Kangyeol Kim, Sunghyun Park, Jaeseong Lee, Sunghyo Chung, Junsoo Lee, Jaegul Choo
2021 C conf
Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space.
ACML
Beomsoo Kim, Jang-Ho Choi, Jaegul Choo
2021 A* conf
BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation.
ICCV
Eungyeup Kim, Jihyeon Lee, Jaegul Choo
2021 J jnl
BiaSwap: Removing dataset bias with bias-tailored swapping augmentation.
CoRR
Eungyeup Kim, Jihyeon Lee, Jaegul Choo
2021 J jnl
CG-NeRF: Conditional Generative Neural Radiance Fields.
CoRR
Kyungmin Jo, Gyumin Shim, Sanghun Jung, Soyoung Yang, Jaegul Choo
2021 — conf
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images.
ACL/IJCNLP (2)
Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, Sung-Hyon Myaeng
2021 J jnl
Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images.
CoRR
Nyoungwoo Lee, Suwon Shin, Jaegul Choo, Ho-Jin Choi, Sung-Hyon Myaeng
2021 A conf
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.
BMVC
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
2021 J jnl
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE.
CoRR
Kangyeol Kim, Sunghyun Park, Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
2021 J jnl
Data Augmentation using Random Image Cropping for High-resolution Virtual Try-On (VITON-CROP).
CoRR
Taewon Kang, Sunghyun Park, Seunghwan Choi, Jaegul Choo
2021 A* conf
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects.
ICCV
Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo
2021 J jnl
Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects.
CoRR
Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo
2021 Misc conf
Efficient Adversarial Audio Synthesis VIA Progressive Upsampling.
ICASSP
Youngwoo Cho, Minwook Chang, Sanghyeon Lee, Hyoungwoo Lee, Gerard Jounghyun Kim, Jaegul Choo
2021 A conf
HairFIT: Pose-invariant Hairstyle Transfer via Flow-based Hair Alignment and Semantic-region-aware Inpainting.
BMVC
Chaeyeon Chung, Taewoo Kim, Hyelin Nam, Seunghwan Choi, Gyojung Gu, Sunghyun Park, Jaegul Choo
2021 J jnl
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Heungseok Park, Yoonsoo Nam, Jihoon Kim, Jaegul Choo
2021 A conf
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children.
BMVC
Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo
2021 J jnl
Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children.
CoRR
Jungsoo Lee, Jooyeol Yun, Sunghyun Park, Yonggyu Kim, Jaegul Choo
2021 B conf
K-Hairstyle: A Large-Scale Korean Hairstyle Dataset For Virtual Hair Editing And Hairstyle Classification.
ICIP
Taewoo Kim, Chaeyeon Chung, Sunghyun Park, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee, Jaegul Choo
2021 J jnl
K-Hairstyle: A Large-scale Korean hairstyle dataset for virtual hair editing and hairstyle classification.
CoRR
Taewoo Kim, Chaeyeon Chung, Sunghyun Park, Gyojung Gu, Keonmin Nam, Wonzo Choe, Jaesung Lee, Jaegul Choo
2021 — conf
Knowledge Graph-based Question Answering with Electronic Health Records.
MLHC
Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi
2021 A* conf
Learning Debiased Representation via Disentangled Feature Augmentation.
NeurIPS
Jungsoo Lee, Eungyeup Kim, Juyoung Lee, Jihyeon Lee, Jaegul Choo
2021 J jnl
Learning Debiased Representation via Disentangled Feature Augmentation.
CoRR
Eungyeup Kim, Jungsoo Lee, Juyoung Lee, Jihyeon Lee, Jaegul Choo
2021 — conf
Learning to Generate Questions by Learning to Recover Answer-containing Sentences.
ACL/IJCNLP (Findings)
Seohyun Back, Akhil Kedia, Sai Chetan Chinthakindi, Haejun Lee, Jaegul Choo
2021 J jnl
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation.
CoRR
Hojoon Lee, Dongyoon Hwang, Sunghwan Hong, Changyeon Kim, Seungryong Kim, Jaegul Choo
2021 J jnl
Natural Attribute-based Shift Detection.
CoRR
Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi
2021 A* conf
Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction.
CVPR
DaeJin Kim, Mohammad Azam Khan, Jaegul Choo
2021 — conf
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations.
EMNLP (Findings)
Fuxiang Chen, Mijung Kim, Jaegul Choo
2021 — conf
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation.
NAACL-HLT
Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Soojin Jang, Jaegul Choo, YoungBin Kim
2021 J jnl
Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation.
CoRR
Kyeongpil Kang, Kyohoon Jin, Soyoung Yang, Sujin Jang, Jaegul Choo, YoungBin Kim
2021 A* conf
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening.
CVPR
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo
2021 J jnl
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening.
CoRR
Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo
2021 A* conf
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation.
ICCV
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
2021 J jnl
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation.
CoRR
Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
2021 J jnl
Understanding Human-side Impact of Sampling Image Batches in Subjective Attribute Labeling.
Proc. ACM Hum. Comput. Interact.
Chaeyeon Chung, Jungsoo Lee, Kyungmin Park, Junsoo Lee, Minjae Kim, Mookyung Song, Yeonwoo Kim, Jaegul Choo, Sungsoo Ray Hong
2021 — conf
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning.
ACL/IJCNLP (1)
Cheonbok Park, Yunwon Tae, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Lucy Park, Jaegul Choo
2021 — conf
VATUN: Visual Analytics for Testing and Understanding Convolutional Neural Networks.
EuroVis (Short Papers)
Cheonbok Park, Soyoung Yang, Inyoup Na, Sunghyo Chung, Sungbok Shin, Bum Chul Kwon, Deokgun Park, Jaegul Choo
2021 A* conf
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization.
CVPR
Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo
2021 J jnl
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization.
CoRR
Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo
2021 A* conf
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.
AAAI
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
2020 J jnl
A Multi-Organ Nucleus Segmentation Challenge.
IEEE Trans. Medical Imaging
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
2020 J jnl
Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks.
Neural Networks
Mohammad Azam Khan, Soonwook Kwon, Jaegul Choo, Seok Min Hong, Sung Hun Kang, Il-Ho Park, Sung Kyun Kim, Seok Jin Hong
2020 A* conf
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks.
CVPR
Sungha Choi, Joanne Taery Kim, Jaegul Choo
2020 J jnl
Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks.
CoRR
Sungha Choi, Joanne Taery Kim, Jaegul Choo
2020 — conf
Data analysis and processing for spatio-temporal forecasting.
ICDM (Workshops)
Hyoungwoo Lee, Jaegul Choo
2020 B conf
End-to-end Multi-task Learning of Missing Value Imputation and Forecasting in Time-Series Data.
ICPR
Jinhee Kim, Taesung Kim, Jang-Ho Choi, Jaegul Choo
2020 J jnl
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment.
CoRR
Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi
2020 A* conf
Exploring Unlabeled Faces for Novel Attribute Discovery.
CVPR
Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo
2020 J jnl
HyperTendril: Visual Analytics for User-Driven Hyperparameter Optimization of Deep Neural Networks.
CoRR
Heungseok Park, Yoonsoo Nam, Jihoon Kim, Jaegul Choo
2020 J jnl
Intelligent fault detection using raw vibration signals via dilated convolutional neural networks.
J. Supercomput.
Mohammad Azam Khan, Yong-Hwa Kim, Jaegul Choo
2020 J jnl
Knowledge Graph-based Question Answering with Electronic Health Records.
CoRR
Junwoo Park, Youngwoo Cho, Haneol Lee, Jaegul Choo, Edward Choi
2020 A* conf
Learning De-biased Representations with Biased Representations.
ICML
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
2020 J jnl
Meta-Learning for Low-Resource Unsupervised Neural MachineTranslation.
CoRR
Yunwon Tae, Cheonbok Park, Taehee Kim, Soyoung Yang, Mohammad Azam Khan, Eunjeong Park, Tao Qin, Jaegul Choo
2020 A conf
Multimodal Image Translation with Stochastic Style Representations and Mutual Information Loss.
BMVC
Sanghyeon Na, Seungjoo Yoo, Jaegul Choo
2020 A* conf
NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension.
ICLR
Seohyun Back, Sai Chetan Chinthakindi, Akhil Kedia, Haejun Lee, Jaegul Choo
2020 J jnl
Neural Ordinary Differential Equations for Intervention Modeling.
CoRR
Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi
2020 J jnl
Probabilistic Topic Modeling for Comparative Analysis of Document Collections.
ACM Trans. Knowl. Discov. Data
Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy
2020 A* conf
Reference-Based Sketch Image Colorization Using Augmented-Self Reference and Dense Semantic Correspondence.
CVPR
Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo
2020 J jnl
Reference-Based Sketch Image Colorization using Augmented-Self Reference and Dense Semantic Correspondence.
CoRR
Junsoo Lee, Eungyeup Kim, Yunsung Lee, Dongjun Kim, Jaehyuk Chang, Jaegul Choo
2020 A conf
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed.
CIKM
Cheonbok Park, Chunggi Lee, Hyojin Bahng, Yunwon Tae, Seungmin Jin, Kihwan Kim, Sungahn Ko, Jaegul Choo
2020 J jnl
Towards Lightweight Lane Detection by Optimizing Spatial Embedding.
CoRR
Seokwoo Jung, Sungha Choi, Mohammad Azam Khan, Jaegul Choo
2020 — conf
Unsupervised anomaly detection of the gas turbine operation via convolutional auto-encoder.
ICPHM
Geunbae Lee, Myungkyo Jung, Myoungwoo Song, Jaegul Choo
2020 J jnl
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation.
CoRR
Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi
2019 — conf
A Comparison of the Effects of Data Imputation Methods on Model Performance.
ICACT
Wooyoung Kim, Wonwoong Cho, Jangho Choi, Jiyong Kim, Cheonbok Park, Jaegul Choo
2019 A* conf
AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks.
CHI
Minsuk Choi, Cheonbok Park, Soyoung Yang, Yonggyu Kim, Jaegul Choo, Sungsoo Ray Hong
2019 A* conf
Coloring With Limited Data: Few-Shot Colorization via Memory Augmented Networks.
CVPR
Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo
2019 J jnl
Coloring With Limited Data: Few-Shot Colorization via Memory-Augmented Networks.
CoRR
Seungjoo Yoo, Hyojin Bahng, Sunghyo Chung, Junsoo Lee, Jaehyuk Chang, Jaegul Choo
2019 J jnl
Exploring Unlabeled Faces for Novel Attribute Discovery.
CoRR
Hyojin Bahng, Sunghyo Chung, Seungjoo Yoo, Jaegul Choo
2019 A* conf
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation.
CVPR
Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
2019 J jnl
Learning De-biased Representations with Biased Representations.
CoRR
Hyojin Bahng, Sanghyuk Chun, Sangdoo Yun, Jaegul Choo, Seong Joon Oh
2019 A conf
Learning to Focus and Track Extreme Climate Events.
BMVC
Sookyung Kim, Sunghyun Park, Sunghyo Chung, Joonseok Lee, Yunsung Lee, Hyojin Kim, Prabhat, Jaegul Choo
2019 J jnl
MISO: Mutual Information Loss with Stochastic Style Representations for Multimodal Image-to-Image Translation.
CoRR
Sanghyeon Na, Seungjoo Yoo, Jaegul Choo
2019 — conf
NL2pSQL: Generating Pseudo-SQL Queries from Under-Specified Natural Language Questions.
EMNLP/IJCNLP (1)
Fuxiang Chen, Seung-won Hwang, Jaegul Choo, Jung-Woo Ha, Sunghun Kim
2019 A* conf
Paraphrase Diversification Using Counterfactual Debiasing.
AAAI
Sunghyun Park, Seung-won Hwang, Fuxiang Chen, Jaegul Choo, Jung-Woo Ha, Sunghun Kim, Jinyeong Yim
2019 A conf
Recommender System Using Sequential and Global Preference via Attention Mechanism and Topic Modeling.
CIKM
Kyeongpil Kang, Junwoo Park, Wooyoung Kim, Hojung Choe, Jaegul Choo
2019 J jnl
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records.
IEEE Trans. Vis. Comput. Graph.
Bum Chul Kwon, Minje Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo
2019 — conf
SANVis: Visual Analytics for Understanding Self-Attention Networks.
IEEE VIS (Short Papers)
Cheonbok Park, Jaegul Choo, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee
2019 J jnl
SANVis: Visual Analytics for Understanding Self-Attention Networks.
CoRR
Cheonbok Park, Inyoup Na, Yongjang Jo, Sungbok Shin, Jaehyo Yoo, Bum Chul Kwon, Jian Zhao, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo
2019 J jnl
STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting.
CoRR
Cheonbok Park, Chunggi Lee, Hyojin Bahng, Taeyun won, Kihwan Kim, Seungmin Jin, Sungahn Ko, Jaegul Choo
2019 J jnl
Unpaired Image Translation via Adaptive Convolution-based Normalization.
CoRR
Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo
2019 J jnl
Visualizing for the Non-Visual: Enabling the Visually Impaired to Use Visualization.
Comput. Graph. Forum
Jinho Choi, Sanghun Jung, Deok Gun Park, Jaegul Choo, Niklas Elmqvist
2019 J jnl
What and Where to Translate: Local Mask-based Image-to-Image Translation.
CoRR
Wonwoong Cho, Seunghwan Choi, Junwoo Park, David Keetae Park, Tao Qin, Jaegul Choo
2018 — conf
Coloring with Words: Guiding Image Colorization Through Text-Based Palette Generation.
ECCV (12)
Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho, David Keetae Park, Ziming Wu, Xiaojuan Ma, Jaegul Choo
2018 J jnl
ConceptVector: Text Visual Analytics via Interactive Lexicon Building Using Word Embedding.
IEEE Trans. Vis. Comput. Graph.
Deokgun Park, Seungyeon Kim, Jurim Lee, Jaegul Choo, Nicholas Diakopoulos, Niklas Elmqvist
2018 J jnl
Guidance in the human-machine analytics process.
Vis. Informatics
Christopher Collins, Natalia V. Andrienko, Tobias Schreck, Jing Yang, Jaegul Choo, Ulrich Engelke, Amit Jena, Tim Dwyer
2018 J jnl
Image-to-Image Translation via Group-wise Deep Whitening and Coloring Transformation.
CoRR
Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
2018 — conf
Intelligent Fault Detection via Dilated Convolutional Neural Networks.
BigComp
Mohammad Azam Khan, Yong-Hwa Kim, Jaegul Choo
2018 J jnl
Interpreting Models by Allowing to Ask.
CoRR
Sungmin Kang, David Keetae Park, Jaehyuk Chang, Jaegul Choo
2018 J jnl
Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization.
Knowl. Inf. Syst.
Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, Jaegul Choo
2018 A* conf
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation.
IJCAI
David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park
2018 J jnl
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation.
CoRR
David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park
2018 B conf
MMGAN: Manifold-Matching Generative Adversarial Networks.
ICPR
Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Jaegul Choo, David Keetae Park, Tanmoy Chakraborty, Hongkyu Park, Youngmin Kim
2018 A* conf
MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller.
EMNLP
Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo
2018 J jnl
PixelSNE: Pixel-Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen-Resolution Precision.
Comput. Graph. Forum
Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo
2018 J jnl
Question-Aware Sentence Gating Networks for Question and Answering.
CoRR
Minjeong Kim, David Keetae Park, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo
2018 J jnl
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records.
CoRR
Bum Chul Kwon, Minje Choi, Joanne Taery Kim, Edward Choi, Young Bin Kim, Soonwook Kwon, Jimeng Sun, Jaegul Choo
2018 A* conf
Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations.
WWW
Tian Shi, Kyeongpil Kang, Jaegul Choo, Chandan K. Reddy
2018 A* conf
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.
CVPR
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo
2018 J jnl
Text2Colors: Guiding Image Colorization through Text-Driven Palette Generation.
CoRR
Wonwoong Cho, Hyojin Bahng, David Keetae Park, Seungjoo Yoo, Ziming Wu, Xiaojuan Ma, Jaegul Choo
2018 A* conf
TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media.
CHI
Minsuk Choi, Dear Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo
2018 J jnl
VisIRR: A Visual Analytics System for Information Retrieval and Recommendation for Large-Scale Document Data.
ACM Trans. Knowl. Discov. Data
Jaegul Choo, Hannah Kim, Edward Clarkson, Zhicheng Liu, Changhyun Lee, Fuxin Li, Hanseung Lee, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Haesun Park
2018 J jnl
Visual Analytics for Explainable Deep Learning.
IEEE Computer Graphics and Applications
Jaegul Choo, Shixia Liu
2018 J jnl
Visual Analytics for Explainable Deep Learning.
CoRR
Jaegul Choo, Shixia Liu
2017 J jnl
AxiSketcher: Interactive Nonlinear Axis Mapping of Visualizations through User Drawings.
IEEE Trans. Vis. Comput. Graph.
Bum Chul Kwon, Hannah Kim, Emily Wall, Jaegul Choo, Haesun Park, Alex Endert
2017 A* conf
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks.
IJCAI
Minje Choi, Sehun Jeong, Hakjoo Oh, Jaegul Choo
2017 J jnl
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks.
CoRR
Minje Choi, Sehun Jeong, Hakjoo Oh, Jaegul Choo
2017 A* conf
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization.
IJCAI
Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
2017 J jnl
MMGAN: Manifold Matching Generative Adversarial Network for Generating Images.
CoRR
Noseong Park, Ankesh Anand, Joel Ruben Antony Moniz, Kookjin Lee, Tanmoy Chakraborty, Jaegul Choo, Hongkyu Park, Youngmin Kim
2017 A* conf
PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering.
AAAI
Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan K. Reddy, Haesun Park
2017 J jnl
Predicting the Currency Market in Online Gaming via Lexicon-Based Analysis on Its Online Forum.
Complex.
Young Bin Kim, Kyeongpil Kang, Jaegul Choo, Shin-Jin Kang, TaeHyeong Kim, Jaeho Im, Jong-Hyun Kim, Chang-Hun Kim
2017 A* conf
STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection.
ICDM
Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo
2017 J jnl
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation.
CoRR
Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun Kim, Jaegul Choo
2017 J jnl
TopicLens: Efficient Multi-Level Visual Topic Exploration of Large-Scale Document Collections.
IEEE Trans. Vis. Comput. Graph.
Minjeong Kim, Kyeongpil Kang, Deokgun Park, Jaegul Choo, Niklas Elmqvist
2016 J jnl
InterAxis: Steering Scatterplot Axes via Observation-Level Interaction.
IEEE Trans. Vis. Comput. Graph.
Hannah Kim, Jaegul Choo, Haesun Park, Alex Endert
2016 A* conf
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization.
ICDM
Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
2016 J jnl
Personas in online health communities.
J. Biomed. Informatics
Jina Huh, Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jihoon Kim, Minje Choi, Ji Soo Yi
2016 J jnl
PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding.
CoRR
Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo
2016 J jnl
VisOHC: Designing Visual Analytics for Online Health Communities.
IEEE Trans. Vis. Comput. Graph.
Bum Chul Kwon, Sung-Hee Kim, Sukwon Lee, Jaegul Choo, Jina Huh, Ji Soo Yi
2015 J jnl
Coddlers, Scientists, Adventurers, and Opportunists: Personas to Inform Online Health Community Development.
CoRR
Jina Huh, Bum Chul Kwon, Jaegul Choo, Sung-Hee Kim, Ji Soo Yi
2015 — conf
DemographicVis: Analyzing demographic information based on user generated content.
VAST
Wenwen Dou, Isaac Cho, Omar ElTayeby, Jaegul Choo, Xiaoyu Wang, William Ribarsky
2015 J jnl
Doubly supervised embedding based on class labels and intrinsic clusters for high-dimensional data visualization.
Neurocomputing
Hannah Kim, Jaegul Choo, Chandan K. Reddy, Haesun Park
2015 A conf
IUI-TextVis 2015: Fourth Workshop on Interactive Visual Text Analytics.
IUI
Jaegul Choo, Christopher Collins, Wenwen Dou, Alex Endert
2015 A conf
Project Recommendation Using Heterogeneous Traits in Crowdfunding.
ICWSM
Vineeth Rakesh, Jaegul Choo, Chandan K. Reddy
2015 J jnl
Simple quasi-static analysis for coplanar stripline within multilayer dielectrics.
IEICE Electron. Express
Jaeyul Choo, Chihyun Cho, Jaegul Choo
2015 A* conf
Simultaneous Discovery of Common and Discriminative Topics via Joint Nonnegative Matrix Factorization.
KDD
Hannah Kim, Jaegul Choo, Jingu Kim, Chandan K. Reddy, Haesun Park
2015 J jnl
Weakly supervised nonnegative matrix factorization for user-driven clustering.
Data Min. Knowl. Discov.
Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park
2014 — conf
Exploring anomalies in GAStech: VAST 2014 Mini Challenge 1 and 2.
IEEE VAST
Jaegul Choo, Yi Han, Mengdie Hu, Hannah Kim, James Nugent, Francesco Poggi, Haesun Park, John T. Stasko
2014 — conf
PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods.
IEEE VAST
Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Chandan K. Reddy, Barry L. Drake, Haesun Park
2014 A* conf
To gather together for a better world: understanding and leveraging communities in micro-lending recommendation.
WWW
Jaegul Choo, Daniel Lee, Bistra Dilkina, Hongyuan Zha, Haesun Park
2014 A conf
Understanding and promoting micro-finance activities in Kiva.org.
WSDM
Jaegul Choo, Changhyun Lee, Daniel Lee, Hongyuan Zha, Haesun Park
2014 — conf
VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data.
IEEE VAST
Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Barry L. Drake, Haesun Park
2013 Misc conf
An interactive visual testbed system for dimension reduction and clustering of large-scale high-dimensional data.
Visualization and Data Analysis
Jaegul Choo, Hanseung Lee, Zhicheng Liu, John T. Stasko, Haesun Park
2013 — conf
Augmenting MATLAB with semantic objects for an interactive visual environment.
IDEA@KDD
Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park
2013 J jnl
Combining Computational Analyses and Interactive Visualization for Document Exploration and Sensemaking in Jigsaw.
IEEE Trans. Vis. Comput. Graph.
Carsten Görg, Zhicheng Liu, Jaeyeon Kihm, Jaegul Choo, Haesun Park, John T. Stasko
2013 J jnl
Customizing Computational Methods for Visual Analytics with Big Data.
IEEE Computer Graphics and Applications
Jaegul Choo, Haesun Park
2013 — conf
Fast interactive visualization for multivariate data exploration.
CHI Extended Abstracts
Changhyun Lee, Wei Zhuo, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park
2013 — conf
Interactive Data Analysis Tool by Augmenting MATLAB with Semantic Objects.
ICDM Workshops
Changhyun Lee, Jaegul Choo, Duen Horng (Polo) Chau, Haesun Park
2013 — conf
Lytic: synthesizing high-dimensional algorithmic analysis with domain-agnostic, faceted visual analytics.
IDEA@KDD
Edward Clarkson, Jaegul Choo, John Turgeson, Ray Decuir, Haesun Park
2013 J jnl
UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization.
IEEE Trans. Vis. Comput. Graph.
Jaegul Choo, Changhyun Lee, Chandan K. Reddy, Haesun Park
2012 — ch.
A Visual Analytics Approach for Protein Disorder Prediction.
Expanding the Frontiers of Visual Analytics and Visualization
Jaegul Choo, Fuxin Li, Keehyoung Joo, Haesun Park
2012 A conf
Heterogeneous Data Fusion via Space Alignment Using Nonmetric Multidimensional Scaling.
SDM
Jaegul Choo, Shawn Bohn, Grant Nakamura, Amanda M. White, Haesun Park
2012 J jnl
iVisClustering: An Interactive Visual Document Clustering via Topic Modeling.
Comput. Graph. Forum
Hanseung Lee, Jaeyeon Kihm, Jaegul Choo, John T. Stasko, Haesun Park
2010 — conf
Data ingestion and evidence marshalling in Jigsaw VAST 2010 Mini Challenge 1 award: Good support for data ingest.
IEEE VAST
Zhicheng Liu, Carsten Görg, Jaeyeon Kihm, Hanseung Lee, Jaegul Choo, Haesun Park, John T. Stasko
2010 — conf
GeneTracer: Gene sequence analysis of disease mutations VAST 2010 mini challenge 3 award: Excellent process explanation.
IEEE VAST
Hanseung Lee, Jaegul Choo, Carsten Görg, Jaeeun Shim, Jaeyeon Kihm, Zhicheng Liu, Haesun Park, John T. Stasko
2010 — conf
iVisClassifier: An interactive visual analytics system for classification based on supervised dimension reduction.
IEEE VAST
Jaegul Choo, Hanseung Lee, Jaeyeon Kihm, Haesun Park
2010 A conf
p-ISOMAP: An Efficient Parametric Update for ISOMAP for Visual Analytics.
SDM
Jaegul Choo, Chandan K. Reddy, Hanseung Lee, Haesun Park
2009 A conf
Hierarchical Linear Discriminant Analysis for Beamforming.
SDM
Jaegul Choo, Barry L. Drake, Haesun Park
2009 — conf
Timeline analysis of undercover activities VAST 2009 traffic mini challenge award: Good analytical technique.
IEEE VAST
Jaegul Choo, Emily Fujimoto, Hanseung Lee, Pedro R. Walteros
2009 — conf
Two-stage framework for visualization of clustered high dimensional data.
IEEE VAST
Jaegul Choo, Shawn Bohn, Haesun Park
2008 B conf
Linear discriminant analysis for data with subcluster structure.
ICPR
Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo Kang
2007 — conf
A Comparison of Unsupervised Dimension Reduction Algorithms for Classification.
BIBM
Jaegul Choo, Hyunsoo Kim, Haesun Park, Hongyuan Zha