Hyunwoo J. Kim

Orcid: 0000-0002-2181-9264

Affiliations:

University of Wisconsin-Madison, Department of Computer Sciences, WI, USA

According to our database¹, Hyunwoo J. Kim authored at least 75 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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Bibliography

2024

Deep Learning-Based Detection for Multiple Cache Side-Channel Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Groupwise Query Specialization and Quality-Aware Multi-Assignment for Transformer-based Visual Relationship Detection.

[BibT_eX]

[DOI]

CoRR, 2024

vid-TLDR: Training Free Token merging for Light-weight Video Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers.

[BibT_eX]

[DOI]

Sanghyeok Lee

Joonmyung Choi

Hyunwoo J. Kim

CoRR, 2024

Stochastic Conditional Diffusion Models for Semantic Image Synthesis.

[BibT_eX]

[DOI]

CoRR, 2024

DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Robust auxiliary learning with weighting function for biased data.

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

Randomly shuffled convolution for self-supervised representation learning.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields.

[BibT_eX]

[DOI]

Injae Kim

Minhyuk Choi

Hyunwoo J. Kim

CoRR, 2023

Large Language Models are Temporal and Causal Reasoners for Video Question Answering.

[BibT_eX]

[DOI]

CoRR, 2023

Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild.

[BibT_eX]

[DOI]

CoRR, 2023

Domain Generalization Emerges from Dreaming.

[BibT_eX]

[DOI]

CoRR, 2023

Recurrent DETR: Transformer-Based Object Detection for Crowded Scenes.

[BibT_eX]

[DOI]

IEEE Access, 2023

Advancing Bayesian Optimization via Learning Correlated Latent Space.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UP-NeRF: Unconstrained Pose Prior-Free Neural Radiance Field.

[BibT_eX]

[DOI]

Injae Kim

Minhyuk Choi

Hyunwoo J. Kim

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Concept Bottleneck with Visual Concept Filtering for Explainable Medical Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Robust Camera Pose Refinement for Multi-Resolution Hash Encoding.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Read-only Prompt Optimization for Vision-Language Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Semantic-Aware Implicit Template Learning via Part Deformation Consistency.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distribution-Aware Prompt Tuning for Vision-Language Models.

[BibT_eX]

[DOI]

Eulrang Cho

Jooyeon Kim

Hyunwoo J. Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Positioning Point-Based Transformer for Point Cloud Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Relation-Aware Language-Graph Transformer for Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Graph Transformer Networks: Learning meta-path graphs to improve GNNs.

[BibT_eX]

[DOI]

Neural Networks, 2022

Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment.

[BibT_eX]

[DOI]

CoRR, 2022

Deformable Graph Transformer.

[BibT_eX]

[DOI]

CoRR, 2022

Improving Object Detection, Multi-object Tracking, and Re-Identification for Disaster Response Drones.

[BibT_eX]

[DOI]

Chongkeun Paik

Hyunwoo J. Kim

CoRR, 2022

Single cell lineage reconstruction using distance-based algorithms and the R package, DCLEAR.

[BibT_eX]

[DOI]

BMC Bioinform., 2022

Explainable Time-Series Prediction Using a Residual Network and Gradient-Based Methods.

[BibT_eX]

[DOI]

IEEE Access, 2022

SageMix: Saliency-Guided Mixup for Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Unsupervised Visual Representation Learning via Mutual Information Regularized Assignment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers.

[BibT_eX]

[DOI]

Hyeong Kyu Choi

Joonmyung Choi

Hyunwoo J. Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Invertible Monotone Operators for Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Video-Text Representation Learning via Differentiable Weak Temporal Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deformable Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Non-Parametric Surrogate Losses With Correlated Gradients.

[BibT_eX]

[DOI]

Seungdong Yoa

Jinyoung Park

Hyunwoo J. Kim

IEEE Access, 2021

Self-Supervised Learning for Anomaly Detection With Dynamic Local Augmentation.

[BibT_eX]

[DOI]

IEEE Access, 2021

Learning to Balance Local Losses via Meta-Learning.

[BibT_eX]

[DOI]

IEEE Access, 2021

Learning Augmentation for GNNs With Consistency Regularization.

[BibT_eX]

[DOI]

IEEE Access, 2021

Search-and-Attack: Temporally Sparse Adversarial Perturbations on Videos.

[BibT_eX]

[DOI]

IEEE Access, 2021

Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Metropolis-Hastings Data Augmentation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Point Cloud Augmentation with Weighted Local Transformations.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

HOTR: End-to-End Human-Object Interaction Detection With Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation.

[BibT_eX]

[DOI]

CoRR, 2020

Monocular 3D object detection for an indoor robot environment.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust Neural Networks Inspired by Strong Stability Preserving Runge-Kutta Methods.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Unpaired Image Translation via Adaptive Convolution-based Normalization.

[BibT_eX]

[DOI]

CoRR, 2019

ANTNets: Mobile Convolutional Neural Networks for Resource Efficient Image Classification.

[BibT_eX]

[DOI]

Yunyang Xiong

Hyunwoo J. Kim

Varsha Hedau

CoRR, 2019

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Graph Transformer Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2019

Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation.

[BibT_eX]

[DOI]

Yunyang Xiong

Hyunwoo J. Kim

Vikas Singh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Efficient Relative Attribute Learning Using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Tensorize, Factorize and Regularize: Robust Visual Relationship Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective.

[BibT_eX]

[DOI]

CoRR, 2017

Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Cover Song Identification with Metric Learning Using Distance as a Feature.

[BibT_eX]

[DOI]

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests on Manifold-Valued Data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Abundant Inverse Regression Using Sufficient Reduction and Its Applications.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Latent Variable Graphical Model Selection Using Harmonic Analysis: Applications to the Human Connectome Project (HCP).

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Manifold-valued Dirichlet Processes.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Interpolation on the Manifold of K Component GMMs.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Canonical Correlation Analysis on Riemannian Manifolds and Its Applications.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Hyunwoo J. Kim

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