An Approach to Improve Classification Accuracy in Very Large Datasets. - Marilyn G. Kletke; Dursun Delen; Jin-Hwa Kim (AMCIS, 2004)

A Scalable Classification Algorithm for Very Large Datasets. - Dursun Delen; Marilyn G. Kletke; Jin-Hwa Kim (J. Inf. Knowl. Manag., 2005)

rnn : Recurrent Library for Torch. - Nicholas Léonard; Sagar Waghmare; Yang Wang; Jin-Hwa Kim (CoRR, 2015)

Multimodal Residual Learning for Visual QA. - Jin-Hwa Kim; Sang-Woo Lee 001; Dong-Hyun Kwak; Min-Oh Heo; Jeonghee Kim; JungWoo Ha 001; Byoung-Tak Zhang (NIPS, 2016)

Hadamard Product for Low-rank Bilinear Pooling. - Jin-Hwa Kim; Kyoung Woon On; Woosang Lim; Jeonghee Kim; Jung-Woo Ha 001; Byoung-Tak Zhang (ICLR (Poster), 2017)

Overcoming Catastrophic Forgetting by Incremental Moment Matching. - Sang-Woo Lee 001; Jin-Hwa Kim; Jaehyun Jun; Jung-Woo Ha 001; Byoung-Tak Zhang (NIPS, 2017)

Overcoming Catastrophic Forgetting by Incremental Moment Matching. - Sang-Woo Lee 001; Jin-Hwa Kim; JungWoo Ha 001; Byoung-Tak Zhang (CoRR, 2017)

CoDraw: Visual Dialog for Collaborative Drawing. - Jin-Hwa Kim; Devi Parikh; Dhruv Batra; Byoung-Tak Zhang; Yuandong Tian (CoRR, 2017)

Visual Explanations from Hadamard Product in Multimodal Deep Networks. - Jin-Hwa Kim; Byoung-Tak Zhang (CoRR, 2017)

Multimodal Dual Attention Memory for Video Story Question Answering. - Kyung-Min Kim; Seong-Ho Choi 001; Jin-Hwa Kim; Byoung-Tak Zhang (ECCV (15), 2018)

Bilinear Attention Networks. - Jin-Hwa Kim; Jaehyun Jun; Byoung-Tak Zhang (NeurIPS, 2018)

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication. - Jin-Hwa Kim; Nikita Kitaev; Xinlei Chen; Marcus Rohrbach; Byoung-Tak Zhang; Yuandong Tian; Dhruv Batra; Devi Parikh (ACL (1), 2019)

Sensitive Detection of Multiple Fluoresence Probes based on Surface-enhanced Raman Scattering (SERS) for MERS-CoV. - Hanbi Kim; Joonki Hwang; Jin-Hwa Kim; Sangyeop Lee; Minhee Kang (NEMS, 2019)

DialGraph: Sparse Graph Learning Networks for Visual Dialog. - Gi-Cheon Kang; Junseok Park; Hwaran Lee; Byoung-Tak Zhang; Jin-Hwa Kim (CoRR, 2020)

Multi-step Estimation for Gradient-based Meta-learning. - Jin-Hwa Kim; Junyoung Park; Yongseok Choi (CoRR, 2020)

Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer. - Gi-Cheon Kang; Junseok Park; Hwaran Lee; Byoung-Tak Zhang; Jin-Hwa Kim (EMNLP (Findings), 2021)

Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation. - Jin-Hwa Kim; Do-Hyeong Kim; Saehoon Yi; Taehoon Lee (CoRR, 2021)

ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. - Jaehoon Oh; Sungnyun Kim; Namgyu Ho; Jin-Hwa Kim; Hwanjun Song; Se-Young Yun (CIKM, 2022)

Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. - Minjoon Jung; Seongho Choi 001; Joochan Kim; Jin-Hwa Kim; Byoung-Tak Zhang (EMNLP, 2022)

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. - Se Jung Kwon; Jeonghoon Kim; Jeongin Bae; Kang Min Yoo; Jin-Hwa Kim; Baeseong Park; Byeongwook Kim; Jung-Woo Ha 001; Nako Sung; Dongsoo Lee (EMNLP (Findings), 2022)

Logit Mixing Training for More Reliable and Accurate Prediction. - Duhyeon Bang; Kyungjune Baek; Jiwoo Kim; Yunho Jeon; Jin-Hwa Kim; Jiwon Kim; Jongwuk Lee; Hyunjung Shim (IJCAI, 2022)

SelecMix: Debiased Learning by Contradicting-pair Sampling. - Inwoo Hwang; Sangjun Lee; Yunhyeok Kwak; Seong Joon Oh; Damien Teney; Jin-Hwa Kim; Byoung-Tak Zhang (NeurIPS, 2022)

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models. - Jin-Hwa Kim; Yunji Kim; Jiyoung Lee; Kang Min Yoo; Sang-Woo Lee 001 (NeurIPS, 2022)

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. - Jaehoon Oh; Sungnyun Kim; Namgyu Ho; Jin-Hwa Kim; Hwanjun Song; Se-Young Yun (NeurIPS, 2022)

Understanding Cross-Domain Few-Shot Learning: An Experimental Study. - Jaehoon Oh; Sungnyun Kim; Namgyu Ho; Jin-Hwa Kim; Hwanjun Song; Se-Young Yun (CoRR, 2022)

Query-Efficient Black-Box Red Teaming via Bayesian Optimization. - Deokjae Lee; JunYeong Lee; Jung-Woo Ha 001; Jin-Hwa Kim; Sang-Woo Lee 001; Hwaran Lee; Hyun Oh Song (ACL (1), 2023)

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. - Gi-Cheon Kang; Sungdong Kim; Jin-Hwa Kim; Donghyun Kwak; Byoung-Tak Zhang (CVPR, 2023)

3D-aware Blending with Generative NeRFs. - Hyunsu Kim; Gayoung Lee; Yunjey Choi; Jin-Hwa Kim; Jun-Yan Zhu (ICCV, 2023)

Dense Text-to-Image Generation with Attention Modulation. - Yunji Kim; Jiyoung Lee; Jin-Hwa Kim; Jung-Woo Ha 001; Jun-Yan Zhu (ICCV, 2023)

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. - Jaewoong Lee; Sangwon Jang; Jaehyeong Jo; Jaehong Yoon; Yunji Kim; Jin-Hwa Kim; Jung-Woo Ha 001; Sung Ju Hwang (ICCV, 2023)

Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. - Hwan Heo; Taekyung Kim; Jiyoung Lee; Jaewon Lee; Soohyun Kim; Hyunwoo J. Kim; Jin-Hwa Kim (ICML, 2023)

Semi-Parametric Video-Grounded Text Generation. - Sungdong Kim; Jin-Hwa Kim; Jiyoung Lee; Minjoon Seo (CoRR, 2023)

Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays. - Hyungyung Lee; Da Young Lee; Wonjae Kim; Jin-Hwa Kim; Tackeun Kim; Jihang Kim; Leonard Sunwoo; Edward Choi (CoRR, 2023)

Panoramic Image-to-Image Translation. - Soohyun Kim; Junho Kim; Taekyung Kim 002; Hwan Heo; Seungryong Kim; Jiyoung Lee; Jin-Hwa Kim (CoRR, 2023)

Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval. - Minjoon Jung; Youwon Jang; Seongho Choi 001; Joochan Kim; Jin-Hwa Kim; Byoung-Tak Zhang (CoRR, 2023)

TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. - Jaewoo Ahn; Taehyun Lee; Junyoung Lim; Jin-Hwa Kim; Sangdoo Yun; Hwaran Lee; Gunhee Kim (ACL (Findings), 2024)

Vision-Language Generative Model for View-Specific Chest X-ray Generation. - Hyungyung Lee; Da Young Lee; Wonjae Kim; Jin-Hwa Kim; Tackeun Kim; Jihang Kim; Leonard Sunwoo; Edward Choi (CHIL, 2024)

Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback. - Fatemeh Pesaran Zadeh; Juyeon Kim; Jin-Hwa Kim; Gunhee Kim (EMNLP, 2024)

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation. - Junyoung Seo; Wooseok Jang; Minseop Kwak; Inès Hyeonsu Kim; Jaehoon Ko; Junho Kim; Jin-Hwa Kim; Jiyoung Lee; Seungryong Kim (ICLR, 2024)

Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs. - Mingyu Kim 002; Jun-Seong Kim; Se-Young Yun; Jin-Hwa Kim (ICML, 2024)

PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. - Yeonsung Jung; Heecheol Yun; Joonhyung Park; Jin-Hwa Kim; Eunho Yang (ICML, 2024)

Effective Rank Analysis and Regularization for Enhanced 3D Gaussian Splatting. - Junha Hyung; Susung Hong; Sungwon Hwang; Jaeseong Lee; Jaegul Choo; Jin-Hwa Kim (NeurIPS, 2024)

A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective. - Yeonsung Jung; Jaeyun Song; June Yong Yang; Jin-Hwa Kim; Sungyub Kim; Eunho Yang (NeurIPS, 2024)

Polyhedral Complex Derivation from Piecewise Trilinear Networks. - Jin-Hwa Kim (NeurIPS, 2024)

Direct Unlearning Optimization for Robust and Safe Text-to-Image Models. - Yong-Hyun Park; Sangdoo Yun; Jin-Hwa Kim; Junho Kim; Geonhui Jang; Yonghyun Jeong; Junghyo Jo; Gayoung Lee (NeurIPS, 2024)

Unsupervised Dynamics Prediction with Object-Centric Kinematics. - Yeon-Ji Song; Suhyung Choi; Jaein Kim 004; Jin-Hwa Kim; Byoung-Tak Zhang (CoRR, 2024)

ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty. - Hyunseo Kim 001; Hyeonseo Yang; Taekyung Kim 002; Yoonsung Kim; Jin-Hwa Kim; Byoung-Tak Zhang (CoRR, 2024)

Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling. - Minseop Kwak; Donghoon Ahn; Inès Hyeonsu Kim; Jin-Hwa Kim; Seungryong Kim (CoRR, 2024)

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization. - Geonhui Jang; Jin-Hwa Kim; Yong-Hyun Park; Junho Kim; Gayoung Lee; Yonghyun Jeong (CoRR, 2024)

Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices. - Kim Jun-Seong; Mingyu Kim 002; GeonU Kim; Tae-Hyun Oh; Jin-Hwa Kim (IEEE Robotics Autom. Lett., 2024)

Background-Aware Moment Detection for Video Moment Retrieval. - Minjoon Jung; Youwon Jang; Seongho Choi 001; Joochan Kim; Jin-Hwa Kim; Byoung-Tak Zhang (WACV, 2025)

Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation. - Minseop Kwak; Junho Kim; Sangdoo Yun; Dongyoon Han; Taekyoung Kim; Seungryong Kim; Jin-Hwa Kim (CoRR, 2025)