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Jin-Hwa Kim
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2020 – today
- 2024
- [j2]Kim Jun-Seong, Mingyu Kim, GeonU Kim, Tae-Hyun Oh, Jin-Hwa Kim:
Factorized Multi-Resolution HashGrid for Efficient Neural Radiance Fields: Execution on Edge-Devices. IEEE Robotics Autom. Lett. 9(11): 10272-10279 (2024) - [c27]Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim:
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. ACL (Findings) 2024: 3291-3325 - [c26]Fatemeh Pesaran Zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim:
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback. EMNLP 2024: 11459-11480 - [c25]Junyoung Seo, Wooseok Jang, Minseop Kwak, Inès Hyeonsu Kim, Jaehoon Ko, Junho Kim, Jin-Hwa Kim, Jiyoung Lee, Seungryong Kim:
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation. ICLR 2024 - [c24]Mingyu Kim, Jun-Seong Kim, Se-Young Yun, Jin-Hwa Kim:
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs. ICML 2024 - [c23]Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang:
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. ICML 2024 - [i38]Jin-Hwa Kim:
Polyhedral Complex Derivation from Piecewise Trilinear Networks. CoRR abs/2402.10403 (2024) - [i37]Yeon-Ji Song, Suhyung Choi, Jaein Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
Unsupervised Dynamics Prediction with Object-Centric Kinematics. CoRR abs/2404.18423 (2024) - [i36]Hyunseo Kim, Hyeonseo Yang, Taekyung Kim, Yoonsung Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
ActiveNeuS: Active 3D Reconstruction using Neural Implicit Surface Uncertainty. CoRR abs/2405.02568 (2024) - [i35]Mingyu Kim, Jun-Seong Kim, Se-Young Yun, Jin-Hwa Kim:
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs. CoRR abs/2405.07857 (2024) - [i34]Jaewoo Ahn, Taehyun Lee, Junyoung Lim, Jin-Hwa Kim, Sangdoo Yun, Hwaran Lee, Gunhee Kim:
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models. CoRR abs/2405.18027 (2024) - [i33]Yeonsung Jung, Heecheol Yun, Joonhyung Park, Jin-Hwa Kim, Eunho Yang:
PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency. CoRR abs/2406.00798 (2024) - [i32]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) - [i31]Minseop Kwak, Donghoon Ahn, Inès Hyeonsu Kim, Jin-Hwa Kim, Seungryong Kim:
Geometry-Aware Score Distillation via 3D Consistent Noising and Gradient Consistency Modeling. CoRR abs/2406.16695 (2024) - [i30]Yong-Hyun Park, Sangdoo Yun, Jin-Hwa Kim, Junho Kim, Geonhui Jang, Yonghyun Jeong, Junghyo Jo, Gayoung Lee:
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models. CoRR abs/2407.21035 (2024) - [i29]Fatemeh Pesaran Zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim:
Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback. CoRR abs/2410.04064 (2024) - 2023
- [c22]Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, Hyun Oh Song:
Query-Efficient Black-Box Red Teaming via Bayesian Optimization. ACL (1) 2023: 11551-11574 - [c21]Gi-Cheon Kang, Sungdong Kim, Jin-Hwa Kim, Donghyun Kwak, Byoung-Tak Zhang:
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. CVPR 2023: 6746-6756 - [c20]Yunji Kim, Jiyoung Lee
, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu:
Dense Text-to-Image Generation with Attention Modulation. ICCV 2023: 7667-7677 - [c19]Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu:
3D-aware Blending with Generative NeRFs. ICCV 2023: 22849-22861 - [c18]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang:
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. ICCV 2023: 23195-23205 - [c17]Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim:
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. ICML 2023: 13000-13016 - [i28]Sungdong Kim, Jin-Hwa Kim, Jiyoung Lee
Semi-Parametric Video-Grounded Text Generation. CoRR abs/2301.11507 (2023) - [i27]Hwan Heo, Taekyung Kim, Jiyoung Lee
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. CoRR abs/2302.01571 (2023) - [i26]Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu:
3D-aware Blending with Generative NeRFs. CoRR abs/2302.06608 (2023) - [i25]Hyungyung Lee, Da Young Lee
Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays. CoRR abs/2302.12172 (2023) - [i24]Junyoung Seo, Wooseok Jang, Minseop Kwak, Jaehoon Ko, Inès Hyeonsu Kim, Junho Kim, Jin-Hwa Kim, Jiyoung Lee
Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation. CoRR abs/2303.07937 (2023) - [i23]Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha
Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. CoRR abs/2304.01515 (2023) - [i22]Soohyun Kim, Junho Kim, Taekyung Kim, Hwan Heo, Seungryong Kim, Jiyoung Lee
Panoramic Image-to-Image Translation. CoRR abs/2304.04960 (2023) - [i21]Deokjae Lee, JunYeong Lee, Jung-Woo Ha, Jin-Hwa Kim, Sang-Woo Lee, Hwaran Lee, Hyun Oh Song:
Query-Efficient Black-Box Red Teaming via Bayesian Optimization. CoRR abs/2305.17444 (2023) - [i20]Minjoon Jung, Youwon Jang, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval. CoRR abs/2306.02728 (2023) - [i19]Yunji Kim, Jiyoung Lee
Dense Text-to-Image Generation with Attention Modulation. CoRR abs/2308.12964 (2023) - 2022
- [c16]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM 2022: 4359-4363 - [c15]Se Jung Kwon, Jeonghoon Kim, Jeongin Bae, Kang Min Yoo, Jin-Hwa Kim, Baeseong Park, Byeongwook Kim, Jung-Woo Ha, Nako Sung, Dongsoo Lee:
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. EMNLP (Findings) 2022: 3288-3305 - [c14]Minjoon Jung, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. EMNLP 2022: 7769-7781 - [c13]Duhyeon Bang, Kyungjune Baek, Jiwoo Kim, Yunho Jeon, Jin-Hwa Kim, Jiwon Kim, Jongwuk Lee, Hyunjung Shim:
Logit Mixing Training for More Reliable and Accurate Prediction. IJCAI 2022: 2812-2819 - [c12]Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang:
SelecMix: Debiased Learning by Contradicting-pair Sampling. NeurIPS 2022 - [c11]Jin-Hwa Kim, Yunji Kim, Jiyoung Lee, Kang Min Yoo, Sang-Woo Lee:
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models. NeurIPS 2022 - [c10]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS 2022 - [i18]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR abs/2202.01339 (2022) - [i17]Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun:
ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR abs/2205.05282 (2022) - [i16]Gi-Cheon Kang, Sungdong Kim, Jin-Hwa Kim, Dong-Hyun Kwak, Byoung-Tak Zhang:
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training. CoRR abs/2205.12502 (2022) - [i15]Jin-Hwa Kim, Yunji Kim, Jiyoung Lee
Mutual Information Divergence: A Unified Metric for Multimodal Generative Models. CoRR abs/2205.13445 (2022) - [i14]Se Jung Kwon, Jeonghoon Kim
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models. CoRR abs/2210.03858 (2022) - [i13]Minjoon Jung, Seongho Choi, Joochan Kim, Jin-Hwa Kim, Byoung-Tak Zhang:
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval. CoRR abs/2210.12617 (2022) - [i12]Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim, Byoung-Tak Zhang:
SelecMix: Debiased Learning by Contradicting-pair Sampling. CoRR abs/2211.02291 (2022) - 2021
- [c9]Gi-Cheon Kang, Junseok Park
Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer. EMNLP (Findings) 2021: 327-339 - [i11]Jin-Hwa Kim, Do-Hyeong Kim, Saehoon Yi, Taehoon Lee:
Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation. CoRR abs/2105.14737 (2021) - 2020
- [i10]Gi-Cheon Kang, Junseok Park, Hwaran Lee, Byoung-Tak Zhang, Jin-Hwa Kim:
DialGraph: Sparse Graph Learning Networks for Visual Dialog. CoRR abs/2004.06698 (2020) - [i9]Jin-Hwa Kim, Junyoung Park, Yongseok Choi:
Multi-step Estimation for Gradient-based Meta-learning. CoRR abs/2006.04298 (2020)
2010 – 2019
- 2019
- [c8]Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh:
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication. ACL (1) 2019: 6495-6513 - [c7]Hanbi Kim
Sensitive Detection of Multiple Fluoresence Probes based on Surface-enhanced Raman Scattering (SERS) for MERS-CoV. NEMS 2019: 498-501 - 2018
- [c6]Kyung-Min Kim
Multimodal Dual Attention Memory for Video Story Question Answering. ECCV (15) 2018: 698-713 - [c5]Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang:
Bilinear Attention Networks. NeurIPS 2018: 1571-1581 - [i8]Jin-Hwa Kim, Jaehyun Jun, Byoung-Tak Zhang:
Bilinear Attention Networks. CoRR abs/1805.07932 (2018) - [i7]Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-Tak Zhang:
Multimodal Dual Attention Memory for Video Story Question Answering. CoRR abs/1809.07999 (2018) - 2017
- [c4]Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang:
Hadamard Product for Low-rank Bilinear Pooling. ICLR (Poster) 2017 - [c3]Sang-Woo Lee, Jin-Hwa Kim, Jaehyun Jun, Jung-Woo Ha, Byoung-Tak Zhang:
Overcoming Catastrophic Forgetting by Incremental Moment Matching. NIPS 2017: 4652-4662 - [i6]Sang-Woo Lee, Jin-Hwa Kim, JungWoo Ha, Byoung-Tak Zhang:
Overcoming Catastrophic Forgetting by Incremental Moment Matching. CoRR abs/1703.08475 (2017) - [i5]Jin-Hwa Kim, Devi Parikh, Dhruv Batra, Byoung-Tak Zhang, Yuandong Tian:
CoDraw: Visual Dialog for Collaborative Drawing. CoRR abs/1712.05558 (2017) - [i4]Jin-Hwa Kim, Byoung-Tak Zhang:
Visual Explanations from Hadamard Product in Multimodal Deep Networks. CoRR abs/1712.06228 (2017) - 2016
- [c2]Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang:
Multimodal Residual Learning for Visual QA. NIPS 2016: 361-369 - [i3]Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak, Min-Oh Heo, Jeonghee Kim, Jung-Woo Ha, Byoung-Tak Zhang:
Multimodal Residual Learning for Visual QA. CoRR abs/1606.01455 (2016) - [i2]Jin-Hwa Kim, Kyoung Woon On, Woosang Lim, Jeonghee Kim, JungWoo Ha, Byoung-Tak Zhang:
Hadamard Product for Low-rank Bilinear Pooling. CoRR abs/1610.04325 (2016) - 2015
- [i1]Nicholas Léonard, Sagar Waghmare, Yang Wang, Jin-Hwa Kim:
rnn : Recurrent Library for Torch. CoRR abs/1511.07889 (2015)
2000 – 2009
- 2005
- [j1]Dursun Delen
A Scalable Classification Algorithm for Very Large Datasets. J. Inf. Knowl. Manag. 4(2): 83-94 (2005) - 2004
- [c1]Marilyn G. Kletke, Dursun Delen, Jin-Hwa Kim:
An Approach to Improve Classification Accuracy in Very Large Datasets. AMCIS 2004: 229
Coauthor Index
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