Minsu Cho

Orcid: 0000-0002-9442-9232

According to our database1, Minsu Cho authored at least 150 papers between 2007 and 2024.

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Bibliography

2024
Enhancing healthcare process analysis through object-centric process mining: Transforming OMOP common data models into object-centric event logs.
J. Biomed. Informatics, 2024

Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review.
Expert Syst. Appl., 2024

3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction.
CoRR, 2024

Online Temporal Action Localization with Memory-Augmented Transformer.
CoRR, 2024

Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation.
CoRR, 2024

Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform.
CoRR, 2024

Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences.
CoRR, 2024

Optical Flow Domain Adaptation via Target Style Transfer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Self-supervised Learning of Semantic Correspondence Using Web Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Efficient Semantic Matching with Hypercolumn Correlation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

3D Geometric Shape Assembly via Efficient Point Cloud Matching.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Classification Matters: Improving Video Action Detection with Class-Specific Attention.
Proceedings of the Computer Vision - ECCV 2024, 2024

Towards More Practical Group Activity Detection: A New Benchmark and Model.
Proceedings of the Computer Vision - ECCV 2024, 2024

In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2024, 2024

NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image.
Proceedings of the Computer Vision - ECCV 2024, 2024

Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MoReVQA: Exploring Modular Reasoning Models for Video Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Correlation Structures for Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Burst Image Super-Resolution with Base Frame Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Contrastive Mean-Shift Learning for Generalized Category Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Model Predictive Control of Autonomous Vehicles With Integrated Barriers Using Occupancy Grid Maps.
IEEE Robotics Autom. Lett., April, 2023

PriViT: Vision Transformers for Fast Private Inference.
CoRR, 2023

Locality-Aware Generalizable Implicit Neural Representation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Activity Grammars for Temporal Action Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning.
Proceedings of the International Conference on Machine Learning, 2023

Learning Rotation-Equivariant Features for Visual Correspondence.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generalizable Implicit Neural Representations via Instance Pattern Composers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Relational Context Learning for Human-Object Interaction Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Devil's on the Edges: Selective Quad Attention for Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
OncoDB: an interactive online database for analysis of gene expression and viral infection in cancer.
Nucleic Acids Res., 2022

Sphynx: A Deep Neural Network Design for Private Inference.
IEEE Secur. Priv., 2022

Sequential Brick Assembly with Efficient Constraint Satisfaction.
CoRR, 2022

Revisiting Self-Distillation.
CoRR, 2022

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness.
CoRR, 2022

Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Combinatorial Bayesian optimization with random mapping functions to convex polytopes.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

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

Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PeRFception: Perception using Radiance Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GPU-Parallelized Iterative LQR with Input Constraints for Fast Collision Avoidance of Autonomous Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Learning to Assemble Geometric Shapes.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Selective Network Linearization for Efficient Private Inference.
Proceedings of the International Conference on Machine Learning, 2022

Towards Sequence-Level Training for Visual Tracking.
Proceedings of the Computer Vision - ECCV 2022, 2022

Reflection and Rotation Symmetry Detection via Equivariant Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fast Point Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Autoregressive Image Generation using Residual Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Contrastive Regularization for Semi-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Self-Supervised Equivariant Learning for Oriented Keypoint Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransforMatcher: Match-to-Match Attention for Semantic Correspondence.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Detector-Free Weakly Supervised Group Activity Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Taught Metric Learning without Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Integrative Few-Shot Learning for Classification and Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Future Transformer for Long-term Action Anticipation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Development of ROS-based Small Unmanned Platform for Acquiring Autonomous Driving Dataset in Various Places and Weather Conditions.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Sphynx: ReLU-Efficient Network Design for Private Inference.
CoRR, 2021

Hypercorrelation Squeeze for Few-Shot Segmentation.
CoRR, 2021

Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition.
CoRR, 2021

Learning to Distill Convolutional Features into Compact Local Descriptors.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Relational Self-Attention: What's Missing in Attention for Video Understanding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Learning to Discover Reflection Symmetry via Polar Matching Convolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hypercorrelation Squeeze for Few-Shot Segmenation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Hough Voting for Robust Global Registration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Relational Embedding for Few-Shot Classification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Calibrating Neural Radiance Fields.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

IntegralAction: Pose-Driven Feature Integration for Robust Human Action Recognition in Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Convolutional Hough Matching Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Embedding Transfer With Label Relaxation for Improved Metric Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Learning of Image Scale and Orientation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Developing data-driven clinical pathways using electronic health records: The cases of total laparoscopic hysterectomy and rotator cuff tears.
Int. J. Medical Informatics, 2020

Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope.
CoRR, 2020

Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery.
CoRR, 2020

ESPN: Extremely Sparse Pruned Networks.
CoRR, 2020

Combinatorial 3D Shape Generation via Sequential Assembly.
CoRR, 2020

Freeze Discriminator: A Simple Baseline for Fine-tuning GANs.
CoRR, 2020

CircleGAN: Generative Adversarial Learning across Spherical Circles.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record Data.
Proceedings of the Process Mining Workshops, 2020

Diversified Mutual Learning for Deep Metric Learning.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Learning to Compose Hypercolumns for Visual Correspondence.
Proceedings of the Computer Vision - ECCV 2020, 2020

MotionSqueeze: Neural Motion Feature Learning for Video Understanding.
Proceedings of the Computer Vision - ECCV 2020, 2020

Local-Global Video-Text Interactions for Temporal Grounding.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Proxy Anchor Loss for Deep Metric Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Editorial.
Pattern Recognit. Lett., 2019

SPair-71k: A Large-scale Benchmark for Semantic Correspondence.
CoRR, 2019

One-Shot Neural Architecture Search via Compressive Sensing.
CoRR, 2019

An Evidence-Based Decision Support Framework for Clinician Medical Scheduling.
IEEE Access, 2019

Mining GOLD Samples for Conditional GANs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

InstaGAN: Instance-aware Image-to-Image Translation.
Proceedings of the 7th International Conference on Learning Representations, 2019

Temporal U-Nets for Video Summarization with Scene and Action Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity.
Proceedings of the IEEE International Conference on Acoustics, 2019

Unsupervised Image Matching and Object Discovery as Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Relational Knowledge Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Deep Metric Learning Beyond Binary Supervision.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Developing Process Performance Indicators for Emergency Room Processes.
Proceedings of the Business Process Management Workshops, 2019

Regularizing Neural Networks via Stochastic Branch Layers.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
First Person Action Recognition via Two-stream ConvNet with Long-term Fusion Pooling.
Pattern Recognit. Lett., 2018

Proposal Flow: Semantic Correspondences from Object Proposals.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Robust Guided Image Filtering Using Nonconvex Potentials.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion.
Proceedings of the 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, 2018

Attentive Semantic Alignment with Offset-Aware Correlation Kernels.
Proceedings of the Computer Vision - ECCV 2018, 2018

Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection.
Proceedings of the Computer Vision - ACCV 2018, 2018

Universal Bounding Box Regression and Its Applications.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques.
Decis. Support Syst., 2017

SCNet: Learning Semantic Correspondence.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Multi-object Tracking with Quadruplet Convolutional Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A New Framework for Defining Realistic SLAs: An Evidence-Based Approach.
Proceedings of the Business Process Management Forum, 2017

Text-Guided Attention Model for Image Captioning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Assessment of hospital processes using a process mining technique: Outpatient process analysis at a tertiary hospital.
Int. J. Medical Informatics, 2016

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization.
Proceedings of the Computer Vision - ECCV 2016, 2016

Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

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

2015
Feature description using local neighborhoods.
Pattern Recognit. Lett., 2015

A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting.
CoRR, 2015

Unsupervised object discovery and localization in images and videos.
Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

Unsupervised Object Discovery and Tracking in Video Collections.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Robust image filtering using joint static and dynamic guidance.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A system architecture for manufacturing process analysis based on big data and process mining techniques.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

A Systematic Methodology for Outpatient Process Analysis Based on Process Mining.
Proceedings of the Asia Pacific Business Process Management, 2014

2013
Co-recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and Its Applications.
Proceedings of the Advanced Topics in Computer Vision, 2013

Multi-object reconstruction from dynamic scenes: An object-centered approach.
Comput. Vis. Image Underst., 2013

Learning Graphs to Match.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Graph Matching via Sequential Monte Carlo.
Proceedings of the Computer Vision - ECCV 2012, 2012

Mode-seeking on graphs via random walks.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Progressive graph matching: Making a move of graphs via probabilistic voting.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Mood Classfication from Musical Audio Using User Group-Dependent Models.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Hyper-graph matching via reweighted random walks.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Co-recognition of Actions in Video Pairs.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Graph Matching Algorithm Using Data-Driven Markov Chain Monte Carlo Sampling.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Reweighted Random Walks for Graph Matching.
Proceedings of the Computer Vision - ECCV 2010, 2010

Unsupervised detection and segmentation of identical objects.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Authority-shift clustering: Hierarchical clustering by authority seeking on graphs.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Feature correspondence and deformable object matching via agglomerative correspondence clustering.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Bilateral Symmetry Detection via Symmetry-Growing.
Proceedings of the British Machine Vision Conference, 2009

2008
Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration.
Proceedings of the Computer Vision, 2008

2007
Partially Occluded Object-Specific Segmentation in View-Based Recognition.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007


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