Hyunwoo J. Kim

166 papers A* 52A 1B 1Journal 94Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Error as Signal: Stiffness-Aware Diffusion Sampling via Embedded Runge-Kutta Guidance. CoRR Inho Kong, Sojin Lee, Youngjoon Hong, Hyunwoo J. Kim
2026	J	`jnl`	F4Splat: Feed-Forward Predictive Densification for Feed-Forward 3D Gaussian Splatting. CoRR Injae Kim, Chaehyeon Kim, Minseong Bae, Minseok Joo, Hyunwoo J. Kim
2026	—	`ed.`	Foundation Models for General Medical AI - Third International Workshop, MedAGI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings MedAGI Won-Ki Jeong, Hyunwoo J. Kim, Zhongying Deng, Yiqing Shen, Angelica I. Avilés-Rivero, Shaoting Zhang
2026	J	`jnl`	Improved query specialization for transformer-based visual relationship detection. Inf. Sci. Jongha Kim, Jihwan Park, Jinyoung Park, Jinyoung Kim, Sehyung Kim, Hyunwoo J. Kim
2026	A*	`conf`	Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration. AAAI Jinyoung Park, Minseong Bae, Jeehye Na, Hyunwoo J. Kim
2026	J	`jnl`	Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration. CoRR Jinyoung Park, Minseong Bae, Jeehye Na, Hyunwoo J. Kim
2026	J	`jnl`	MoE-GRPO: Optimizing Mixture-of-Experts via Reinforcement Learning in Vision-Language Models. CoRR Dohwan Ko, Jinyoung Park, Seoung Choi, Sanghyeok Lee, Seohyun Lee, Hyunwoo J. Kim
2026	J	`jnl`	Parameter-Efficient Fine-Tuning via Meta-Regularizer. Int. J. Comput. Vis. Jinyoung Park, Juyeon Ko, Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
2026	J	`jnl`	ProGraph-R1: Progress-aware Reinforcement Learning for Graph Retrieval Augmented Generation. CoRR Jinyoung Park, Sanghyeok Lee, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim
2026	J	`jnl`	Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering. CoRR Jongha Kim, Byungoh Ko, Jeehye Na, Jinsung Yoon, Hyunwoo J. Kim
2026	A*	`conf`	TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing. AAAI Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim
2026	A*	`conf`	Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization. AAAI Jihwan Park, Taehoon Song, Sanghyeok Lee, Miso Choi, Hyunwoo J. Kim
2025	J	`jnl`	Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval. CoRR Dohwan Ko, Ji Soo Lee, Minhyuk Choi, Zihang Meng, Hyunwoo J. Kim
2025	J	`jnl`	Blockwise Flow Matching: Improving Flow Matching Models For Efficient High-Quality Generation. CoRR Dogyun Park, Taehoon Lee, Minseok Joo, Hyunwoo J. Kim
2025	—	`conf`	Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization. EMNLP (Findings) Ji Soo Lee, Byungoh Ko, Jaewon Cho, Howoong Lee, Jaewoon Byun, Hyunwoo J. Kim
2025	J	`jnl`	Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization. CoRR Ji Soo Lee, Byungoh Ko, Jaewon Cho, Howoong Lee, Jaewoon Byun, Hyunwoo J. Kim
2025	J	`jnl`	DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO. CoRR Jinyoung Park, Jeehye Na, Jinyoung Kim, Hyunwoo J. Kim
2025	J	`jnl`	Deformable Graph Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Jinyoung Park, Seongjun Yun, Hyeon-Jin Park, Jaewoo Kang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
2025	J	`jnl`	Efficient multi-view training for 3D Gaussian Splatting. CoRR Minhyuk Choi, Injae Kim, Hyunwoo J. Kim
2025	A*	`conf`	EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality. CVPR Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
2025	—	`ed.`	Foundation Models for General Medical AI - Second International Workshop, MedAGI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings MedAGI@MICCAI Zhongying Deng, Yiqing Shen, Hyunwoo J. Kim, Won-Ki Jeong, Angelica I. Avilés-Rivero, Junjun He, Shaoting Zhang
2025	A*	`conf`	Latent Bayesian Optimization via Autoregressive Normalizing Flows. ICLR Seunghun Lee, Jinyoung Park, Jaewon Chu, Minseo Yoon, Hyunwoo J. Kim
2025	J	`jnl`	Latent Bayesian Optimization via Autoregressive Normalizing Flows. CoRR Seunghun Lee, Jinyoung Park, Jaewon Chu, Minseo Yoon, Hyunwoo J. Kim
2025	A*	`conf`	LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. ICML Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra
2025	A*	`conf`	Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion. ICML Dohoon Lee, Jaehyun Park, Hyunwoo J. Kim, Kyogu Lee
2025	J	`jnl`	PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs. CoRR Jaewon Chu, Seunghun Lee, Hyunwoo J. Kim
2025	J	`jnl`	ReCo: Reminder Composition Mitigates Hallucinations in Vision-Language Models. CoRR Sotirios Panagiotis Chytas, Miso Choi, Hyunwoo J. Kim, Vikas Singh
2025	J	`jnl`	Representation Shift: Unifying Token Compression with FlashAttention. CoRR Joonmyung Choi, Sanghyeok Lee, Byungoh Ko, Eunseo Kim, Jihyung Kil, Hyunwoo J. Kim
2025	J	`jnl`	ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models. CoRR Dohwan Ko, Sihyeon Kim, Yumin Suh, Vijay Kumar B. G, Minseo Yoon, Manmohan Chandraker, Hyunwoo J. Kim
2025	J	`jnl`	Sprint: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers. CoRR Dogyun Park, Moayed Haji-Ali, Yanyu Li, Willi Menapace, Sergey Tulyakov, Hyunwoo J. Kim, Aliaksandr Siarohin, Anil Kag
2025	A*	`conf`	Super-Class Guided Transformer for Zero-Shot Attribute Classification. AAAI Sehyung Kim, Chanhyeong Yang, Jihwan Park, Taehoon Song, Hyunwoo J. Kim
2025	J	`jnl`	Super-class guided Transformer for Zero-Shot Attribute Classification. CoRR Sehyung Kim, Chanhyeong Yang, Jihwan Park, Taehoon Song, Hyunwoo J. Kim
2025	J	`jnl`	TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing. CoRR Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim
2025	J	`jnl`	Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization. CoRR Jihwan Park, Taehoon Song, Sanghyeok Lee, Miso Choi, Hyunwoo J. Kim
2025	A*	`conf`	VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning. AAAI Ji Soo Lee, Jongha Kim, Jeehye Na, Jinyoung Park, Hyunwoo J. Kim
2025	J	`jnl`	VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning. CoRR Ji Soo Lee, Jongha Kim, Jeehye Na, Jinyoung Park, Hyunwoo J. Kim
2025	J	`jnl`	Visual Diversity and Region-aware Prompt Learning for Zero-shot HOI Detection. CoRR Chanhyeong Yang, Taehoon Song, Jihwan Park, Hyunwoo J. Kim
2025	A*	`conf`	When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class. ICML Yujin Kim, Hyunsoo Kim, Hyunwoo J. Kim, Suhyun Kim
2025	J	`jnl`	When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class. CoRR Yujin Kim, Hyunsoo Kim, Hyunwoo J. Kim, Suhyun Kim
2024	A*	`conf`	Constant Acceleration Flow. NeurIPS Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim
2024	J	`jnl`	Constant Acceleration Flow. CoRR Dogyun Park, Sojin Lee, Sihyeon Kim, Taehoon Lee, Youngjoon Hong, Hyunwoo J. Kim
2024	J	`jnl`	DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. CoRR Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim
2024	A*	`conf`	DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. ICLR Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim
2024	J	`jnl`	Deep Learning-Based Detection for Multiple Cache Side-Channel Attacks. IEEE Trans. Inf. Forensics Secur. Hodong Kim, Changhee Hahn, Hyunwoo J. Kim, Youngjoo Shin, Junbeom Hur
2024	—	`conf`	Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems. ECCV (53) Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim
2024	J	`jnl`	Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems. CoRR Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim
2024	J	`jnl`	EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality. CoRR Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
2024	A*	`conf`	Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation. EMNLP Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim
2024	J	`jnl`	Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation. CoRR Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim
2024	A*	`conf`	Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-Based Visual Relationship Detection. CVPR Jongha Kim, Jihwan Park, Jinyoung Park, Jinyoung Kim, Sehyung Kim, Hyunwoo J. Kim
2024	J	`jnl`	Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection. CoRR Jongha Kim, Jihwan Park, Jinyoung Park, Jinyoung Kim, Sehyung Kim, Hyunwoo J. Kim
2024	A*	`conf`	Inversion-based Latent Bayesian Optimization. NeurIPS Jaewon Chu, Jinyoung Park, Seunghun Lee, Hyunwoo J. Kim
2024	J	`jnl`	Inversion-based Latent Bayesian Optimization. CoRR Jaewon Chu, Jinyoung Park, Seunghun Lee, Hyunwoo J. Kim
2024	A*	`conf`	LLaMo: Large Language Model-based Molecular Graph Assistant. NeurIPS Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J. Kim
2024	J	`jnl`	LLaMo: Large Language Model-based Molecular Graph Assistant. CoRR Jinyoung Park, Minseong Bae, Dohwan Ko, Hyunwoo J. Kim
2024	J	`jnl`	LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. CoRR Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra
2024	A*	`conf`	Multi-Criteria Token Fusion with One-Step-Ahead Attention for Efficient Vision Transformers. CVPR Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
2024	J	`jnl`	Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers. CoRR Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
2024	A*	`conf`	Prompt Learning via Meta-Regularization. CVPR Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim
2024	J	`jnl`	Prompt Learning via Meta-Regularization. CoRR Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim
2024	A*	`conf`	Retrieval-Augmented Open-Vocabulary Object Detection. CVPR Jooyeon Kim, Eulrang Cho, Sehyung Kim, Hyunwoo J. Kim
2024	J	`jnl`	Retrieval-Augmented Open-Vocabulary Object Detection. CoRR Jooyeon Kim, Eulrang Cho, Sehyung Kim, Hyunwoo J. Kim
2024	J	`jnl`	Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and Proximity-based Modality Ensemble. CoRR Juhan Cha, Minseok Joo, Jihwan Park, Sanghyeok Lee, Injae Kim, Hyunwoo J. Kim
2024	J	`jnl`	SoccerNet 2024 Challenges Results. CoRR Anthony Cioppa, Silvio Giancola, Vladimir Somers, Victor Joos, Floriane Magera, Jan Held, Seyed Abolfazl Ghasemzadeh, Xin Zhou, Karolina Seweryn, Mateusz Kowalczyk, Zuzanna Mróz, Szymon Lukasik, Michal Halon, Hassan Mkhallati, Adrien Deliège, Carlos Hinojosa, Karen Sanchez, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Adam Gorski, Albert Clapés, Andrei Boiarov, Anton Afanasiev, Artur Xarles, Atom Scott, Byoungkwon Lim, Calvin Yeung, Cristian Gonzalez, Dominic Rüfenacht, Enzo Pacilio, Fabian Deuser, Faisal Sami Altawijri, Francisco Cachón, Hankyul Kim, Haobo Wang, Hyeonmin Choe, Hyunwoo J. Kim, Il-Min Kim, Jae-Mo Kang, Jamshid Tursunboev, Jian Yang, Jihwan Hong, Jimin Lee, Jing Zhang, Junseok Lee, Kexin Zhang, Konrad Habel, Licheng Jiao, Linyi Li, Marc Gutiérrez-Pérez, Marcelo Ortega, Menglong Li, Milosz Lopatto, Nikita Kasatkin, Nikolay Nemtsev, Norbert Oswald, Oleg Udin, Pavel Kononov, Pei Geng, Saad Ghazai Alotaibi, Sehyung Kim, Sergei Ulasen, Sergio Escalera, Shanshan Zhang, Shuyuan Yang, Sunghwan Moon, Thomas B. Moeslund, Vasyl Shandyba, Vladimir Golovkin, Wei Dai, WonTaek Chung, Xinyu Liu, Yongqiang Zhu, Youngseo Kim, Yuan Li, Yuting Yang, Yuxuan Xiao, Zehua Cheng, Zhihao Li
2024	A*	`conf`	Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis. ICML Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim
2024	J	`jnl`	Stochastic Conditional Diffusion Models for Semantic Image Synthesis. CoRR Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim
2024	—	`conf`	Understanding Multi-compositional Learning in Vision and Language Models via Category Theory. ECCV (48) Sotirios Panagiotis Chytas, Hyunwoo J. Kim, Vikas Singh
2024	A*	`conf`	vid-TLDR: Training Free Token merging for Light-Weight Video Transformer. CVPR Joonmyung Choi, Sanghyeok Lee, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim
2024	J	`jnl`	vid-TLDR: Training Free Token merging for Light-weight Video Transformer. CoRR Joonmyung Choi, Sanghyeok Lee, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim
2023	A*	`conf`	Advancing Bayesian Optimization via Learning Correlated Latent Space. NeurIPS Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim
2023	J	`jnl`	Advancing Bayesian Optimization via Learning Correlated Latent Space. CoRR Seunghun Lee, Jaewon Chu, Sihyeon Kim, Juyeon Ko, Hyunwoo J. Kim
2023	—	`conf`	Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification. ISIC/Care-AI/MedAGI/DeCaF@MICCAI Injae Kim, Jongha Kim, Joonmyung Choi, Hyunwoo J. Kim
2023	J	`jnl`	Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification. CoRR Injae Kim, Jongha Kim, Joonmyung Choi, Hyunwoo J. Kim
2023	A*	`conf`	Distribution-Aware Prompt Tuning for Vision-Language Models. ICCV Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim
2023	J	`jnl`	Distribution-Aware Prompt Tuning for Vision-Language Models. CoRR Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim
2023	J	`jnl`	Domain Generalization Emerges from Dreaming. CoRR Hwan Heo, Youngjin Oh, Jaewon Lee, Hyunwoo J. Kim
2023	J	`jnl`	Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models. CoRR Jinyoung Park, Ameen Patel, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim
2023	J	`jnl`	Large Language Models are Temporal and Causal Reasoners for Video Question Answering. CoRR Dohwan Ko, Ji Soo Lee, Woo-Young Kang, Byungseok Roh, Hyunwoo J. Kim
2023	A*	`conf`	MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. CVPR Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim
2023	J	`jnl`	MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. CoRR Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings ISIC/Care-AI/MedAGI/DeCaF@MICCAI M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu
2023	A*	`conf`	NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. NeurIPS Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
2023	J	`jnl`	NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. CoRR Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
2023	A*	`conf`	Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models. ICCV Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim
2023	J	`jnl`	Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models. CoRR Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim
2023	J	`jnl`	Randomly shuffled convolution for self-supervised representation learning. Inf. Sci. Youngjin Oh, Minkyu Jeon, Dohwan Ko, Hyunwoo J. Kim
2023	A*	`conf`	Read-only Prompt Optimization for Vision-Language Few-shot Learning. ICCV Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyeong Choi, Sanghyeok Lee, Hyunwoo J. Kim
2023	J	`jnl`	Read-only Prompt Optimization for Vision-Language Few-shot Learning. CoRR Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyeong Choi, Sanghyeok Lee, Hyunwoo J. Kim
2023	J	`jnl`	Recurrent DETR: Transformer-Based Object Detection for Crowded Scenes. IEEE Access Hyeong Kyu Choi, Chong Keun Paik, Hyun Woo Ko, Min-Chul Park, Hyunwoo J. Kim
2023	A*	`conf`	Relation-Aware Language-Graph Transformer for Question Answering. AAAI Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim
2023	A*	`conf`	Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. ICML Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim
2023	J	`jnl`	Robust Camera Pose Refinement for Multi-Resolution Hash Encoding. CoRR Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim
2023	J	`jnl`	Robust auxiliary learning with weighting function for biased data. Inf. Sci. Dasol Hwang, Sojin Lee, Joonmyung Choi, Je-Keun Rhee, Hyunwoo J. Kim
2023	A*	`conf`	Self-Positioning Point-Based Transformer for Point Cloud Understanding. CVPR Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim
2023	J	`jnl`	Self-positioning Point-based Transformer for Point Cloud Understanding. CoRR Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim
2023	A*	`conf`	Semantic-Aware Implicit Template Learning via Part Deformation Consistency. ICCV Sihyeon Kim, Juyeon Ko, Minseok Joo, Juhan Cha, Jaewon Lee, Hyunwoo J. Kim
2023	J	`jnl`	Semantic-Aware Implicit Template Learning via Part Deformation Consistency. CoRR Sihyeon Kim, Minseok Joo, Jaewon Lee, Juyeon Ko, Juhan Cha, Hyunwoo J. Kim
2023	J	`jnl`	Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild. CoRR Jaewon Lee, Injae Kim, Hwan Heo, Hyunwoo J. Kim
2023	A*	`conf`	UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field. NeurIPS Injae Kim, Minhyuk Choi, Hyunwoo J. Kim
2023	J	`jnl`	UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields. CoRR Injae Kim, Minhyuk Choi, Hyunwoo J. Kim
2023	J	`jnl`	UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection. CoRR Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim
2023	J	`jnl`	k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment. CoRR Minkyu Jeon, Hyeon-Jin Park, Hyunwoo J. Kim, Michael G. Morley, Hyunghoon Cho
2022	A*	`conf`	Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection. CVPR Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim
2022	J	`jnl`	Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection. CoRR Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim
2022	A*	`conf`	Deformable Graph Convolutional Networks. AAAI Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim
2022	J	`jnl`	Deformable Graph Transformer. CoRR Jinyoung Park, Seongjun Yun, Hyeon-Jin Park, Jaewoo Kang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
2022	J	`jnl`	Explainable Time-Series Prediction Using a Residual Network and Gradient-Based Methods. IEEE Access Hyojung Choi, Chanhwi Jung, Taein Kang, Hyunwoo J. Kim, Il-Youp Kwak
2022	J	`jnl`	Graph Transformer Networks: Learning meta-path graphs to improve GNNs. Neural Networks Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
2022	J	`jnl`	Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones. CoRR Chongkeun Paik, Hyunwoo J. Kim
2022	A*	`conf`	Invertible Monotone Operators for Normalizing Flows. NeurIPS Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim
2022	J	`jnl`	Invertible Monotone Operators for Normalizing Flows. CoRR Byeongkeun Ahn, Chiyoon Kim, Youngjoon Hong, Hyunwoo J. Kim
2022	J	`jnl`	Metropolis-Hastings Data Augmentation for Graph Neural Networks. CoRR Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
2022	J	`jnl`	Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction. CoRR Seongjun Yun, Seoyoon Kim, Junhyun Lee, Jaewoo Kang, Hyunwoo J. Kim
2022	J	`jnl`	Relation-aware Language-Graph Transformer for Question Answering. CoRR Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim
2022	A*	`conf`	SageMix: Saliency-Guided Mixup for Point Clouds. NeurIPS Sanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim
2022	J	`jnl`	SageMix: Saliency-Guided Mixup for Point Clouds. CoRR Sanghyeok Lee, Minkyu Jeon, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim
2022	J	`jnl`	Single cell lineage reconstruction using distance-based algorithms and the R package, DCLEAR. BMC Bioinform. Wuming Gong, Hyunwoo J. Kim, Daniel J. Garry, Il-Youp Kwak
2022	A*	`conf`	TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. NeurIPS Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim
2022	J	`jnl`	TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. CoRR Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim
2022	A*	`conf`	Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment. NeurIPS Dong Hoon Lee, Sungik Choi, Hyunwoo J. Kim, Sae-Young Chung
2022	J	`jnl`	Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment. CoRR Dong Hoon Lee, Sung-Ik Choi, Hyunwoo J. Kim, Sae-Young Chung
2022	A*	`conf`	Video-Text Representation Learning via Differentiable Weak Temporal Alignment. CVPR Dohwan Ko, Joonmyung Choi, Juyeon Ko, Shinyeong Noh, Kyoung-Woon On, Eun-Sol Kim, Hyunwoo J. Kim
2022	J	`jnl`	Video-Text Representation Learning via Differentiable Weak Temporal Alignment. CoRR Dohwan Ko, Joonmyung Choi, Juyeon Ko, Shinyeong Noh, Kyoung-Woon On, Eun-Sol Kim, Hyunwoo J. Kim
2022	—	`conf`	k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment. ECCV (21) Minkyu Jeon, Hyeon-Jin Park, Hyunwoo J. Kim, Michael G. Morley, Hyunghoon Cho
2021	J	`jnl`	Deformable Graph Convolutional Networks. CoRR Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim
2021	J	`jnl`	Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs. CoRR Seongjun Yun, Minbyul Jeong, Sungdong Yoo, Seunghun Lee, Sean S. Yi, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
2021	A*	`conf`	HOTR: End-to-End Human-Object Interaction Detection With Transformers. CVPR Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim
2021	J	`jnl`	HOTR: End-to-End Human-Object Interaction Detection with Transformers. CoRR Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim
2021	J	`jnl`	Learning Augmentation for GNNs With Consistency Regularization. IEEE Access Hyeon-Jin Park, Seunghun Lee, Dasol Hwang, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
2021	J	`jnl`	Learning Non-Parametric Surrogate Losses With Correlated Gradients. IEEE Access Seungdong Yoa, Jinyoung Park, Hyunwoo J. Kim
2021	J	`jnl`	Learning to Balance Local Losses via Meta-Learning. IEEE Access Seungdong Yoa, Minkyu Jeon, Youngjin Oh, Hyunwoo J. Kim
2021	A*	`conf`	Metropolis-Hastings Data Augmentation for Graph Neural Networks. NeurIPS Hyeon-Jin Park, Seunghun Lee, Sihyeon Kim, Jinyoung Park, Jisu Jeong, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
2021	A*	`conf`	Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction. NeurIPS Seongjun Yun, Seoyoon Kim, Junhyun Lee, Jaewoo Kang, Hyunwoo J. Kim
2021	A*	`conf`	Point Cloud Augmentation with Weighted Local Transformations. ICCV Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
2021	J	`jnl`	Point Cloud Augmentation with Weighted Local Transformations. CoRR Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
2021	J	`jnl`	Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos. IEEE Access Hwan Heo, Dohwan Ko, Jaewon Lee, Youngjoon Hong, Hyunwoo J. Kim
2021	J	`jnl`	Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation. IEEE Access Seungdong Yoa, Seungjun Lee, Chiyoon Kim, Hyunwoo J. Kim
2021	J	`jnl`	Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning. CoRR Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
2020	J	`jnl`	Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation. CoRR Bryce Chudomelka, Youngjoon Hong, Hyunwoo J. Kim, Jinyoung Park
2020	B	`conf`	Monocular 3D object detection for an indoor robot environment. RO-MAN Jiwon Kim, GiJae Lee, Jun-Sik Kim, Hyunwoo J. Kim, KangGeon Kim
2020	—	`conf`	Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods. ECCV (9) Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim
2020	J	`jnl`	Robust Neural Networks inspired by Strong Stability Preserving Runge-Kutta methods. CoRR Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim
2020	A*	`conf`	Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. NeurIPS Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
2020	J	`jnl`	Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. CoRR Dasol Hwang, Jinyoung Park, Sunyoung Kwon, Kyung-Min Kim, Jung-Woo Ha, Hyunwoo J. Kim
2020	—	`conf`	UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection. ECCV (15) Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim
2019	J	`jnl`	ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification. CoRR Yunyang Xiong, Hyunwoo J. Kim, Varsha Hedau
2019	A*	`conf`	Graph Transformer Networks. NeurIPS Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
2019	J	`jnl`	Graph Transformer Networks. CoRR Seongjun Yun, Minbyul Jeong, Raehyun Kim, Jaewoo Kang, Hyunwoo J. Kim
2019	A*	`conf`	Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. CVPR Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh
2019	—	`conf`	On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. IPMI Yunyang Xiong, Hyunwoo J. Kim, Bhargav Tangirala, Ronak Mehta, Sterling C. Johnson, Vikas Singh
2019	A	`conf`	Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. UAI Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh
2019	J	`jnl`	Unpaired Image Translation via Adaptive Convolution-based Normalization. CoRR Wonwoong Cho, Kangyeol Kim, Eungyeup Kim, Hyunwoo J. Kim, Jaegul Choo
2018	—	`conf`	Efficient Relative Attribute Learning Using Graph Neural Networks. ECCV (14) Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh
2018	A*	`conf`	Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. CVPR Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh
2017	—	`conf`	Cover Song Identification with Metric Learning Using Distance as a Feature. ISMIR Hoon Heo, Hyunwoo J. Kim, Wan Soo Kim, Kyogu Lee
2017	J	`jnl`	Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. CoRR Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh
2017	—	`conf`	Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. NIPS Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz
2017	A*	`conf`	Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. CVPR Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh
2017	—	`conf`	Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data. CVPR Workshops Ligang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh
2016	—	`conf`	Abundant Inverse Regression Using Sufficient Reduction and Its Applications. ECCV (3) Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh
2016	A*	`conf`	Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP). CVPR Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh
2015	A*	`conf`	Interpolation on the Manifold of K Component GMMs. ICCV Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh
2015	A*	`conf`	Manifold-valued Dirichlet Processes. ICML Hyunwoo J. Kim, Jia Xu, Baba C. Vemuri, Vikas Singh
2015	—	`conf`	Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning. ECML/PKDD (1) Jinseok Nam, Eneldo Loza Mencía, Hyunwoo J. Kim, Johannes Fürnkranz
2014	—	`conf`	Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. ECCV (2) Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh
2014	A*	`conf`	Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. CVPR Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh