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 (CVPR, 2014)

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 (ECCV (2), 2014)

Interpolation on the Manifold of K Component GMMs. - Hyunwoo J. Kim; Nagesh Adluru; Monami Banerjee; Baba C. Vemuri; Vikas Singh (ICCV, 2015)

Manifold-valued Dirichlet Processes. - Hyunwoo J. Kim; Jia Xu 011; Baba C. Vemuri; Vikas Singh (ICML, 2015)

Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning. - Jinseok Nam; Eneldo Loza Mencía; Hyunwoo J. Kim; Johannes Fürnkranz (ECML/PKDD (1), 2015)

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 (CVPR, 2016)

Abundant Inverse Regression Using Sufficient Reduction and Its Applications. - Hyunwoo J. Kim; Brandon M. Smith 001; Nagesh Adluru; Charles R. Dyer; Sterling C. Johnson; Vikas Singh (ECCV (3), 2016)

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 (CVPR, 2017)

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 (CVPR Workshops, 2017)

Cover Song Identification with Metric Learning Using Distance as a Feature. - Hoon Heo; Hyunwoo J. Kim; Wan Soo Kim; Kyogu Lee (ISMIR, 2017)

Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification. - Jinseok Nam; Eneldo Loza Mencía; Hyunwoo J. Kim; Johannes Fürnkranz (NIPS, 2017)

Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. - Ronak Mehta; Hyunwoo J. Kim; Shulei Wang; Sterling C. Johnson; Ming Yuan 001; Vikas Singh (CoRR, 2017)

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning. - Seong Jae Hwang; Sathya N. Ravi; Zirui Tao; Hyunwoo J. Kim; Maxwell D. Collins; Vikas Singh (CVPR, 2018)

Efficient Relative Attribute Learning Using Graph Neural Networks. - Zihang Meng; Nagesh Adluru; Hyunwoo J. Kim; Glenn Fung; Vikas Singh (ECCV (14), 2018)

Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation. - Yunyang Xiong; Hyunwoo J. Kim; Vikas Singh (CVPR, 2019)

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. - Yunyang Xiong; Hyunwoo J. Kim; Bhargav Tangirala; Ronak Mehta; Sterling C. Johnson; Vikas Singh (IPMI, 2019)

Graph Transformer Networks. - Seongjun Yun; Minbyul Jeong; Raehyun Kim; Jaewoo Kang; Hyunwoo J. Kim (NeurIPS, 2019)

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 (UAI, 2019)

ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification. - Yunyang Xiong; Hyunwoo J. Kim; Varsha Hedau (CoRR, 2019)

Unpaired Image Translation via Adaptive Convolution-based Normalization. - Wonwoong Cho; Kangyeol Kim; Eungyeup Kim; Hyunwoo J. Kim; Jaegul Choo (CoRR, 2019)

UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection. - Bumsoo Kim; Taeho Choi; Jaewoo Kang; Hyunwoo J. Kim (ECCV (15), 2020)

Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods. - Byungjoo Kim; Bryce Chudomelka; Jinyoung Park; Jaewoo Kang; Youngjoon Hong; Hyunwoo J. Kim (ECCV (9), 2020)

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs. - Dasol Hwang; Jinyoung Park; Sunyoung Kwon; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (NeurIPS, 2020)

Monocular 3D object detection for an indoor robot environment. - Jiwon Kim; GiJae Lee; Jun-Sik Kim 001; Hyunwoo J. Kim; KangGeon Kim (RO-MAN, 2020)

Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation. - Bryce Chudomelka; Youngjoon Hong; Hyunwoo J. Kim; Jinyoung Park (CoRR, 2020)

HOTR: End-to-End Human-Object Interaction Detection With Transformers. - Bumsoo Kim; Junhyun Lee; Jaewoo Kang; Eun-Sol Kim; Hyunwoo J. Kim (CVPR, 2021)

Point Cloud Augmentation with Weighted Local Transformations. - Sihyeon Kim; Sanghyeok Lee; Dasol Hwang; Jaewon Lee; Seong Jae Hwang; Hyunwoo J. Kim (ICCV, 2021)

Metropolis-Hastings Data Augmentation for Graph Neural Networks. - Hyeon-Jin Park; Seunghun Lee 001; Sihyeon Kim; Jinyoung Park; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (NeurIPS, 2021)

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction. - Seongjun Yun; Seoyoon Kim; Junhyun Lee; Jaewoo Kang; Hyunwoo J. Kim (NeurIPS, 2021)

Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos. - Hwan Heo; Dohwan Ko; Jaewon Lee; Youngjoon Hong; Hyunwoo J. Kim (IEEE Access, 2021)

Learning Augmentation for GNNs With Consistency Regularization. - Hyeon-Jin Park; Seunghun Lee 001; Dasol Hwang; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (IEEE Access, 2021)

Learning to Balance Local Losses via Meta-Learning. - Seungdong Yoa; Minkyu Jeon; Youngjin Oh; Hyunwoo J. Kim (IEEE Access, 2021)

Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation. - Seungdong Yoa; Seungjun Lee; Chiyoon Kim; Hyunwoo J. Kim (IEEE Access, 2021)

Learning Non-Parametric Surrogate Losses With Correlated Gradients. - Seungdong Yoa; Jinyoung Park; Hyunwoo J. Kim (IEEE Access, 2021)

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning. - Dasol Hwang; Jinyoung Park; Sunyoung Kwon; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (CoRR, 2021)

Deformable Graph Convolutional Networks. - Jinyoung Park; Sungdong Yoo; Jihwan Park; Hyunwoo J. Kim (AAAI, 2022)

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 (CVPR, 2022)

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 (CVPR, 2022)

k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment. - Minkyu Jeon; Hyeon-Jin Park; Hyunwoo J. Kim; Michael Morley; Hyunghoon Cho (ECCV (21), 2022)

Invertible Monotone Operators for Normalizing Flows. - Byeongkeun Ahn; Chiyoon Kim; Youngjoon Hong; Hyunwoo J. Kim (NeurIPS, 2022)

TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. - Hyeong Kyu Choi; Joonmyung Choi; Hyunwoo J. Kim (NeurIPS, 2022)

Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment. - Dong Hoon Lee; Sungik Choi; Hyunwoo J. Kim; Sae-Young Chung (NeurIPS, 2022)

SageMix: Saliency-Guided Mixup for Point Clouds. - Sanghyeok Lee; Minkyu Jeon; Injae Kim; Yunyang Xiong; Hyunwoo J. Kim (NeurIPS, 2022)

Explainable Time-Series Prediction Using a Residual Network and Gradient-Based Methods. - Hyojung Choi; Chanhwi Jung; Taein Kang; Hyunwoo J. Kim; Il-Youp Kwak (IEEE Access, 2022)

Single cell lineage reconstruction using distance-based algorithms and the R package, DCLEAR. - Wuming Gong; Hyunwoo J. Kim; Daniel J. Garry; Il-Youp Kwak (BMC Bioinform., 2022)

Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones. - Chongkeun Paik; Hyunwoo J. Kim (CoRR, 2022)

Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment. - Dong Hoon Lee; Sung-Ik Choi; Hyunwoo J. Kim; Sae-Young Chung (CoRR, 2022)

Graph Transformer Networks: Learning meta-path graphs to improve GNNs. - Seongjun Yun; Minbyul Jeong; Sungdong Yoo; Seunghun Lee 001; Sean S. Yi; Raehyun Kim; Jaewoo Kang; Hyunwoo J. Kim (Neural Networks, 2022)

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 (AAAI, 2023)

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 (CVPR, 2023)

Self-Positioning Point-Based Transformer for Point Cloud Understanding. - Jinyoung Park; Sanghyeok Lee; Sihyeon Kim; Yunyang Xiong; Hyunwoo J. Kim (CVPR, 2023)

Distribution-Aware Prompt Tuning for Vision-Language Models. - Eulrang Cho; Jooyeon Kim; Hyunwoo J. Kim (ICCV, 2023)

Semantic-Aware Implicit Template Learning via Part Deformation Consistency. - Sihyeon Kim; Juyeon Ko; Minseok Joo; Juhan Cha; Jaewon Lee; Hyunwoo J. Kim (ICCV, 2023)

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 (ICCV, 2023)

Read-only Prompt Optimization for Vision-Language Few-shot Learning. - Dongjun Lee; Seokwon Song; Jihee Suh; Joonmyeong Choi; Sanghyeok Lee; Hyunwoo J. Kim (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)

Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification. - Injae Kim; Jongha Kim; Joonmyung Choi; Hyunwoo J. Kim (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. - Hyeong Kyu Choi; Seunghun Lee 001; Jaewon Chu; Hyunwoo J. Kim (NeurIPS, 2023)

UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field. - Injae Kim; Minhyuk Choi; Hyunwoo J. Kim (NeurIPS, 2023)

Advancing Bayesian Optimization via Learning Correlated Latent Space. - Seunghun Lee 001; Jaewon Chu; Sihyeon Kim; Juyeon Ko; Hyunwoo J. Kim (NeurIPS, 2023)

Recurrent DETR: Transformer-Based Object Detection for Crowded Scenes. - Hyeong Kyu Choi; Chong Keun Paik; Hyun Woo Ko; Min-Chul Park; Hyunwoo J. Kim (IEEE Access, 2023)

Domain Generalization Emerges from Dreaming. - Hwan Heo; Youngjin Oh; Jaewon Lee; Hyunwoo J. Kim (CoRR, 2023)

Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild. - Jaewon Lee; Injae Kim; Hwan Heo; Hyunwoo J. Kim (CoRR, 2023)

Large Language Models are Temporal and Causal Reasoners for Video Question Answering. - Dohwan Ko; Ji Soo Lee; Woo-Young Kang; Byungseok Roh; Hyunwoo J. Kim (CoRR, 2023)

UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields. - Injae Kim; Minhyuk Choi; Hyunwoo J. Kim (CoRR, 2023)

Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models. - Jinyoung Park; Ameen Patel; Omar Zia Khan; Hyunwoo J. Kim; Joo-Kyung Kim (CoRR, 2023)

Randomly shuffled convolution for self-supervised representation learning. - Youngjin Oh; Minkyu Jeon; Dohwan Ko; Hyunwoo J. Kim (Inf. Sci., 2023)

Robust auxiliary learning with weighting function for biased data. - Dasol Hwang; Sojin Lee; Joonmyung Choi; Je-Keun Rhee; Hyunwoo J. Kim (Inf. Sci., 2023)

vid-TLDR: Training Free Token merging for Light-Weight Video Transformer. - Joonmyung Choi; Sanghyeok Lee; Jaewon Chu; Minhyuk Choi; Hyunwoo J. Kim (CVPR, 2024)

Retrieval-Augmented Open-Vocabulary Object Detection. - Jooyeon Kim; Eulrang Cho; Sehyung Kim; Hyunwoo J. Kim (CVPR, 2024)

Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-Based Visual Relationship Detection. - Jongha Kim; Jihwan Park; Jinyoung Park; Jinyoung Kim 007; Sehyung Kim; Hyunwoo J. Kim (CVPR, 2024)

Multi-Criteria Token Fusion with One-Step-Ahead Attention for Efficient Vision Transformers. - Sanghyeok Lee; Joonmyung Choi; Hyunwoo J. Kim (CVPR, 2024)

Prompt Learning via Meta-Regularization. - Jinyoung Park; Juyeon Ko; Hyunwoo J. Kim (CVPR, 2024)

Understanding Multi-compositional Learning in Vision and Language Models via Category Theory. - Sotirios Panagiotis Chytas; Hyunwoo J. Kim; Vikas Singh (ECCV (48), 2024)

Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems. - Sojin Lee; Dogyun Park; Inho Kong; Hyunwoo J. Kim (ECCV (53), 2024)

Generative Subgraph Retrieval for Knowledge Graph-Grounded Dialog Generation. - Jinyoung Park; Minseok Joo; Joo-Kyung Kim; Hyunwoo J. Kim (EMNLP, 2024)

DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations. - Dogyun Park; Sihyeon Kim; Sojin Lee; Hyunwoo J. Kim (ICLR, 2024)

Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis. - Juyeon Ko; Inho Kong; Dogyun Park; Hyunwoo J. Kim (ICML, 2024)

Inversion-based Latent Bayesian Optimization. - Jaewon Chu; Jinyoung Park; Seunghun Lee 001; Hyunwoo J. Kim (NeurIPS, 2024)

LLaMo: Large Language Model-based Molecular Graph Assistant. - Jinyoung Park; Minseong Bae; Dohwan Ko; Hyunwoo J. Kim (NeurIPS, 2024)

Constant Acceleration Flow. - Dogyun Park; Sojin Lee; Sihyeon Kim; Taehoon Lee 004; Youngjoon Hong; Hyunwoo J. Kim (NeurIPS, 2024)

Stochastic Conditional Diffusion Models for Semantic Image Synthesis. - Juyeon Ko; Inho Kong; Dogyun Park; Hyunwoo J. Kim (CoRR, 2024)

Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and Proximity-based Modality Ensemble. - Juhan Cha; Minseok Joo; Jihwan Park; Sanghyeok Lee; Injae Kim; Hyunwoo J. Kim (CoRR, 2024)

SoccerNet 2024 Challenges Results. - Anthony Cioppa; Silvio Giancola; Vladimir Somers; Victor Joos; Floriane Magera; Jan Held; Seyed Abolfazl Ghasemzadeh; Xin Zhou 024; Karolina Seweryn; Mateusz Kowalczyk; Zuzanna Mróz; Szymon Lukasik; et al. (CoRR, 2024)

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. - Xiaoqian Shen; Yunyang Xiong; Changsheng Zhao 002; Lemeng Wu; Jun Chen 021; Chenchen Zhu; Zechun Liu; Fanyi Xiao; Balakrishnan Varadarajan; Florian Bordes; Zhuang Liu; Hu Xu 001; et al. (CoRR, 2024)

Deep Learning-Based Detection for Multiple Cache Side-Channel Attacks. - Hodong Kim; Changhee Hahn; Hyunwoo J. Kim; Youngjoo Shin; Junbeom Hur (IEEE Trans. Inf. Forensics Secur., 2024)

Super-Class Guided Transformer for Zero-Shot Attribute Classification. - Sehyung Kim; Chanhyeong Yang; Jihwan Park; Taehoon Song; Hyunwoo J. Kim (AAAI, 2025)

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 (AAAI, 2025)

EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality. - Sanghyeok Lee; Joonmyung Choi; Hyunwoo J. Kim (CVPR, 2025)

Latent Bayesian Optimization via Autoregressive Normalizing Flows. - Seunghun Lee 001; Jinyoung Park; Jaewon Chu; Minseo Yoon; Hyunwoo J. Kim (ICLR, 2025)

ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language Models. - Dohwan Ko; Sihyeon Kim; Yumin Suh; Vijay Kumar B. G; Minseo Yoon; Manmohan Chandraker; Hyunwoo J. Kim (CoRR, 2025)

DeepVideo-R1: Video Reinforcement Fine-Tuning via Difficulty-aware Regressive GRPO. - Jinyoung Park; Jeehye Na; Jinyoung Kim 007; Hyunwoo J. Kim (CoRR, 2025)

Efficient multi-view training for 3D Gaussian Splatting. - Minhyuk Choi; Injae Kim; Hyunwoo J. Kim (CoRR, 2025)

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 (CoRR, 2025)

ReCo: Reminder Composition Mitigates Hallucinations in Vision-Language Models. - Sotirios Panagiotis Chytas; Miso Choi; Hyunwoo J. Kim; Vikas Singh (CoRR, 2025)

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 (CoRR, 2025)

Deformable Graph Transformer. - Jinyoung Park; Seongjun Yun; Hyeon-Jin Park; Jaewoo Kang; Jisu Jeong; Kyung-Min Kim; Jung-Woo Ha 001; Hyunwoo J. Kim (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Representation Shift: Unifying Token Compression with FlashAttention. - Joonmyung Choi; Sanghyeok Lee; Byungoh Ko; Eunseo Kim; Jihyung Kil; Hyunwoo J. Kim (CoRR, 2025)

Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization. - Jihwan Park; Taehoon song; Sanghyeok Lee; Miso Choi; Hyunwoo J. Kim (CoRR, 2025)