| 2026 | AAAI | TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing. | Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim |
| 2026 | AAAI | Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration. | Jinyoung Park, Minseong Bae, Jeehye Na, Hyunwoo J. Kim |
| 2026 | AAAI | Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization. | Jihwan Park, Taehoon Song, Sanghyeok Lee, Miso Choi, Hyunwoo J. Kim |
| 2026 | WACV | Relevance-aware Multi-context Contrastive Decoding for Retrieval-augmented Visual Question Answering. | Jongha Kim, Byungoh Ko, Jeehye Na, Jinsung Yoon, Hyunwoo J. Kim |
| 2025 | AAAI | Super-Class Guided Transformer for Zero-Shot Attribute Classification. | Sehyung Kim, Chanhyeong Yang, Jihwan Park, Taehoon Song, Hyunwoo J. Kim |
| 2025 | AAAI | VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video Captioning. | Ji Soo Lee, Jongha Kim, Jeehye Na, Jinyoung Park, Hyunwoo J. Kim |
| 2025 | CVPR | EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality. | Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim |
| 2025 | EMNLP | Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization. | Ji Soo Lee, Byungoh Ko, Jaewon Cho, Howoong Lee, Jaewoon Byun, Hyunwoo J. Kim |
| 2025 | ICCV | Representation Shift: Unifying Token Compression with Flashattention. | Joonmyung Choi, Sanghyeok Lee, Byungoh Ko, Eunseo Kim, Jihyung Kil, Hyunwoo J. Kim |
| 2025 | ICCV | Bidirectional Likelihood Estimation with Multi-Modal Large Language Models for Text-Video Retrieval. | Dohwan Ko, Ji Soo Lee, Minhyuk Choi, Zihang Meng, Hyunwoo J. Kim |
| 2025 | ICLR | Latent Bayesian Optimization via Autoregressive Normalizing Flows. | Seunghun Lee, Jinyoung Park, Jaewon Chu, Minseo Yoon, Hyunwoo J. Kim |
| 2025 | ICML | When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class. | Yujin Kim, Hyunsoo Kim, Hyunwoo J. Kim, Suhyun Kim |
| 2025 | ICML | Multidimensional Adaptive Coefficient for Inference Trajectory Optimization in Flow and Diffusion. | Dohoon Lee, Jaehyun Park, Hyunwoo J. Kim, Kyogu Lee |
| 2025 | ICML | LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. | 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 | CVPR | vid-TLDR: Training Free Token merging for Light-Weight Video Transformer. | Joonmyung Choi, Sanghyeok Lee, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim |
| 2024 | CVPR | Retrieval-Augmented Open-Vocabulary Object Detection. | Jooyeon Kim, Eulrang Cho, Sehyung Kim, Hyunwoo J. Kim |
| 2024 | CVPR | Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-Based Visual Relationship Detection. | Jongha Kim, Jihwan Park, Jinyoung Park, Jinyoung Kim, Sehyung Kim, Hyunwoo J. Kim |
| 2024 | CVPR | Multi-Criteria Token Fusion with One-Step-Ahead Attention for Efficient Vision Transformers. | Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim |
| 2024 | CVPR | Prompt Learning via Meta-Regularization. | Jinyoung Park, Juyeon Ko, Hyunwoo J. Kim |
| 2024 | ECCV | Understanding Multi-compositional Learning in Vision and Language Models via Category Theory. | Sotirios Panagiotis Chytas, Hyunwoo J. Kim, Vikas Singh |
| 2024 | ECCV | Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems. | Sojin Lee, Dogyun Park, Inho Kong, Hyunwoo J. Kim |
| 2024 | EMNLP | Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation. | Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim |
| 2024 | ICLR | DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. | Dogyun Park, Sihyeon Kim, Sojin Lee, Hyunwoo J. Kim |
| 2024 | ICML | Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis. | Juyeon Ko, Inho Kong, Dogyun Park, Hyunwoo J. Kim |
| 2023 | AAAI | Relation-Aware Language-Graph Transformer for Question Answering. | Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim |
| 2023 | CVPR | MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. | Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim |
| 2023 | CVPR | Self-Positioning Point-Based Transformer for Point Cloud Understanding. | Jinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim |
| 2023 | ICCV | Distribution-Aware Prompt Tuning for Vision-Language Models. | Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim |
| 2023 | ICCV | Semantic-Aware Implicit Template Learning via Part Deformation Consistency. | Sihyeon Kim, Juyeon Ko, Minseok Joo, Juhan Cha, Jaewon Lee, Hyunwoo J. Kim |
| 2023 | ICCV | Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models. | Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim |
| 2023 | ICCV | Read-only Prompt Optimization for Vision-Language Few-shot Learning. | Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyeong Choi, Sanghyeok Lee, Hyunwoo J. Kim |
| 2023 | ICML | 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 |
| 2023 | MICCAI | Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification. | Injae Kim, Jongha Kim, Joonmyung Choi, Hyunwoo J. Kim |
| 2022 | AAAI | Deformable Graph Convolutional Networks. | Jinyoung Park, Sungdong Yoo, Jihwan Park, Hyunwoo J. Kim |
| 2022 | CVPR | Video-Text Representation Learning via Differentiable Weak Temporal Alignment. | Dohwan Ko, Joonmyung Choi, Juyeon Ko, Shinyeong Noh, Kyoung-Woon On, Eun-Sol Kim, Hyunwoo J. Kim |
| 2022 | CVPR | Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection. | Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim |
| 2022 | ECCV | k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment. | Minkyu Jeon, Hyeon-Jin Park, Hyunwoo J. Kim, Michael G. Morley, Hyunghoon Cho |
| 2021 | CVPR | HOTR: End-to-End Human-Object Interaction Detection With Transformers. | Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim |
| 2021 | ICCV | Point Cloud Augmentation with Weighted Local Transformations. | Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim |
| 2020 | ECCV | UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection. | Bumsoo Kim, Taeho Choi, Jaewoo Kang, Hyunwoo J. Kim |
| 2020 | ECCV | Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods. | Byungjoo Kim, Bryce Chudomelka, Jinyoung Park, Jaewoo Kang, Youngjoon Hong, Hyunwoo J. Kim |
| 2020 | RO-MAN | Monocular 3D object detection for an indoor robot environment. | Jiwon Kim, GiJae Lee, Jun-Sik Kim, Hyunwoo J. Kim, KangGeon Kim |
| 2019 | CVPR | Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. | Yunyang Xiong, Hyunwoo J. Kim, Vikas Singh |
| 2019 | UAI | Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. | Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh |
| 2018 | CVPR | Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. | Seong Jae Hwang, Sathya N. Ravi, Zirui Tao, Hyunwoo J. Kim, Maxwell D. Collins, Vikas Singh |
| 2018 | ECCV | Efficient Relative Attribute Learning Using Graph Neural Networks. | Zihang Meng, Nagesh Adluru, Hyunwoo J. Kim, Glenn Fung, Vikas Singh |
| 2017 | CVPR | Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. | Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh |
| 2017 | CVPR | Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data. | Ligang Zheng, Hyunwoo J. Kim, Nagesh Adluru, Michael A. Newton, Vikas Singh |
| 2016 | CVPR | Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP). | Won Hwa Kim, Hyunwoo J. Kim, Nagesh Adluru, Vikas Singh |
| 2016 | ECCV | Abundant Inverse Regression Using Sufficient Reduction and Its Applications. | Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh |
| 2015 | ICCV | Interpolation on the Manifold of K Component GMMs. | Hyunwoo J. Kim, Nagesh Adluru, Monami Banerjee, Baba C. Vemuri, Vikas Singh |
| 2015 | ICML | Manifold-valued Dirichlet Processes. | Hyunwoo J. Kim, Jia Xu, Baba C. Vemuri, Vikas Singh |
| 2014 | CVPR | Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. | Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh |
| 2014 | ECCV | Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. | Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh |