Minsik Lee

Orcid: 0000-0003-4941-4311

Affiliations:
  • Hanyang University, Division of Electrical Engineering, Korea


According to our database1, Minsik Lee authored at least 46 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
EnSiam: Self-Supervised Learning With Ensemble Representations.
CoRR, 2023

2021
Point Cloud Resampling by Simulating Electric Charges on Metallic Surfaces.
Sensors, 2021

Reconstruct as Far as You Can: Consensus of Non-Rigid Reconstruction from Feasible Regions.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Differentiable Forward and Backward Fixed-Point Iteration Layers.
IEEE Access, 2021

2020
Nonparametric Estimation of Probabilistic Membership for Subspace Clustering.
IEEE Trans. Cybern., 2020

Graph-matching-based correspondence search for nonrigid point cloud registration.
Comput. Vis. Image Underst., 2020

Differentiable Fixed-Point Iteration Layer.
CoRR, 2020

Nonconvex Sparse Representation With Slowly Vanishing Gradient Regularizers.
IEEE Access, 2020

Spatially Variant Convolutional Autoencoder Based on Patch Division for Pill Defect Detection.
IEEE Access, 2020

Procrustean Regression Networks: Learning 3D Structure of Non-rigid Objects from 2D Annotations.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Variational Inference for 3-D Localization and Tracking of Multiple Targets Using Multiple Cameras.
IEEE Trans. Neural Networks Learn. Syst., 2019

Face Recognition in SSPP Problem Using Face Relighting Based on Coupled Bilinear Model.
Sensors, 2019

Building a Compact Convolutional Neural Network for Embedded Intelligent Sensor Systems Using Group Sparsity and Knowledge Distillation.
Sensors, 2019

A Scalable Framework for Data-Driven Subspace Representation and Clustering.
Pattern Recognit. Lett., 2019

Deep pose consensus networks.
Comput. Vis. Image Underst., 2019

Neuro-Optimization: Learning Objective Functions Using Neural Networks.
CoRR, 2019

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Unsupervised 3D Reconstruction Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation.
IEEE Trans. Image Process., 2018

Non-rigid surface recovery with a robust local-rigidity prior.
Pattern Recognit. Lett., 2018

2017
Procrustean Normal Distribution for Non-Rigid Structure from Motion.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Single image 3D human pose estimation using a procrustean normal distribution mixture model and model transformation.
Comput. Vis. Image Underst., 2017

2016
Robust Elastic-Net Subspace Representation.
IEEE Trans. Image Process., 2016

Complex Non-rigid 3D Shape Recovery Using a Procrustean Normal Distribution Mixture Model.
Int. J. Comput. Vis., 2016

Consensus of Non-rigid Reconstructions.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Efficient l<sub>1</sub>-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method.
IEEE Trans. Neural Networks Learn. Syst., 2015

Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Elastic-net regularization of singular values for robust subspace learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Incremental (N) -Mode SVD for Large-Scale Multilinear Generative Models.
IEEE Trans. Image Process., 2014

Robust action recognition using local motion and group sparsity.
Pattern Recognit., 2014

Rapid Implementation of 3D Facial Reconstruction from a Single Image on an Android Mobile Device.
KSII Trans. Internet Inf. Syst., 2014

Real-time facial shape recovery from a single image under general, unknown lighting by rank relaxation.
Comput. Vis. Image Underst., 2014

3D facial model reconstruction on mobile devices using cloud.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2014

A Procrustean Markov Process for Non-rigid Structure Recovery.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Robust Albedo Estimation From a Facial Image With Cast Shadow Under General Unknown Lighting.
IEEE Trans. Image Process., 2013

Generalized mean for feature extraction in one-class classification problems.
Pattern Recognit., 2013

A robust real-time algorithm for facial shape recovery from a single image containing cast shadow under general, unknown lighting.
Pattern Recognit., 2013

Arbitration Interframe Space-controlled Medium Access Control: a medium access control protocol guaranteeing absolute priority in wireless local area networks.
Int. J. Commun. Syst., 2013

EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modeling.
Comput. Vis. Image Underst., 2013

Procrustean Normal Distribution for Non-rigid Structure from Motion.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
Period-controlled MAC for high performance in wireless networks.
IEEE/ACM Trans. Netw., 2011

Fast facial shape recovery from a single image with general, unknown lighting by using tensor representation.
Pattern Recognit., 2011

Robust albedo estimation from a facial image with cast shadow.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2009
Facial Shape Recovery from a Single Image with an Arbitrary Directional Light Using Linearly Independent Representation.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009


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