Junmo Kim

Orcid: 0000-0002-7174-7932

According to our database1, Junmo Kim authored at least 213 papers between 1999 and 2024.

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Bibliography

2024
Continual learning framework for a multicenter study with an application to electrocardiogram.
BMC Medical Informatics Decis. Mak., December, 2024

A Unified Multi-Modality Fusion Framework for Deep Spatio-Spectral-Temporal Feature Learning in Resting-State fMRI Denoising.
IEEE J. Biomed. Health Informatics, April, 2024

META-EEG: Meta-learning-based class-relevant EEG representation learning for zero-calibration brain-computer interfaces.
Expert Syst. Appl., March, 2024

Towards Understanding Dual BN In Hybrid Adversarial Training.
CoRR, 2024

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object.
CoRR, 2024

EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning.
CoRR, 2024

Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency.
CoRR, 2024

ContextMix: A context-aware data augmentation method for industrial visual inspection systems.
CoRR, 2024

Real-Time Polyp Detection in Colonoscopy using Lightweight Transformer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-scale foreground-background separation for light field depth estimation with deep convolutional networks.
Pattern Recognit. Lett., 2023

Flexible Cross-Modal Steganography via Implicit Representations.
CoRR, 2023

Inspecting Explainability of Transformer Models with Additional Statistical Information.
CoRR, 2023

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning.
CoRR, 2023

Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery.
CoRR, 2023

DropMix: Reducing Class Dependency in Mixed Sample Data Augmentation.
CoRR, 2023

Lightweight Monocular Depth Estimation via Token-Sharing Transformer.
CoRR, 2023

Context-Preserving Two-Stage Video Domain Translation for Portrait Stylization.
CoRR, 2023

I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Test-Time Synthetic-to-Real Adaptive Depth Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Lightweight Monocular Depth Estimation via Token-Sharing Transformer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Training Cartoonization Network without Cartoon.
Proceedings of the IEEE International Conference on Image Processing, 2023

Deep Cross-Modal Steganography Using Neural Representations.
Proceedings of the IEEE International Conference on Image Processing, 2023

Data Poisoning Attack Aiming the Vulnerability of Continual Learning.
Proceedings of the IEEE International Conference on Image Processing, 2023

Generative Approach for Probabilistic Human Mesh Recovery using Diffusion Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Disposable Transfer Learning for Selective Source Task Unlearning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Localization using Multi-Focal Spatial Attention for Masked Face Recognition.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

Video Inference for Human Mesh Recovery with Vision Transformer.
Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

Fix the Noise: Disentangling Source Feature for Controllable Domain Translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Reinforcement Learning-Based Black-Box Model Inversion Attacks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Implicit 3D Human Mesh Recovery using Consistency with Pose and Shape from Unseen-view.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Frequency Selective Augmentation for Video Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Multi-Class Image Classification.
CoRR, 2022

Training Time Adversarial Attack Aiming the Vulnerability of Continual Learning.
CoRR, 2022

AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation.
CoRR, 2022

Stochastic Attribute Modeling for Face Super-Resolution.
CoRR, 2022

Fix the Noise: Disentangling Source Feature for Transfer Learning of StyleGAN.
CoRR, 2022

Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning.
CoRR, 2022

Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth.
CoRR, 2022

Unsupervised Blur Kernel Estimation and Correction for Blind Super-Resolution.
IEEE Access, 2022

Extending Contrastive Learning to Unsupervised Coreset Selection.
IEEE Access, 2022

Projection-Based Point Convolution for Efficient Point Cloud Segmentation.
IEEE Access, 2022

TricubeNet: 2D Kernel-Based Object Representation for Weakly-Occluded Oriented Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Cyclic test time augmentation with entropy weight method.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

UniCLIP: Unified Framework for Contrastive Language-Image Pre-training.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Noisy Label Classification Using Label Noise Selection with Test-Time Augmentation Cross-Entropy and NoiseMix Learning.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Subspace-based Feature Alignment for Unsupervised Domain Adaptation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multi-Scaled and Densely Connected Locally Convolutional Layers for Depth Completion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Enhanced Prototypical Learning for Unsupervised Domain Adaptation in LiDAR Semantic Segmentation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Which Metrics for Network Pruning: Final Accuracy? Or Accuracy Drop?
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Rethinking Efficacy of Softmax for Lightweight Non-local Neural Networks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network.
Proceedings of the Computer Vision - ECCV 2022, 2022

DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Linear Combination Approximation of Feature for Channel Pruning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Closing the Loophole: Rethinking Reconstruction Attacks in Federated Learning from a Privacy Standpoint.
Proceedings of the Annual Computer Security Applications Conference, 2022

2021
Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning.
Sensors, 2021

Target-Style-Aware Unsupervised Domain Adaptation for Object Detection.
IEEE Robotics Autom. Lett., 2021

Integrating Multiple Receptive Fields Through Grouped Active Convolution.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Cut-and-Paste Dataset Generation for Balancing Domain Gaps in Object Instance Detection.
IEEE Access, 2021

Cocktail Glass Network: Fast Depth Estimation Using Channel to Space Unrolling.
IEEE Access, 2021

SAR Image Generation of Ground Targets for Automatic Target Recognition Using Indirect Information.
IEEE Access, 2021

Occlusion Handling by Successively Excluding Foregrounds for Light Field Depth Estimation Based on Foreground-Background Separation.
IEEE Access, 2021

Differentiable Architecture Search Based on Coordinate Descent.
IEEE Access, 2021

De-biasing Neural Networks with Estimated Offset for Class Imbalanced Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

3D Point Cloud Upsampling and Colorization Using GAN.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2021

Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Improving Generalization of Batch Whitening by Convolutional Unit Optimization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Joint Negative and Positive Learning for Noisy Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Patch-Wise Attention Network for Monocular Depth Estimation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Linearly Replaceable Filters for Deep Network Channel Pruning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Densely Distilled Flow-Based Knowledge Transfer in Teacher-Student Framework for Image Classification.
IEEE Trans. Image Process., 2020

Automatic Recognition of Children Engagement from Facial Video Using Convolutional Neural Networks.
IEEE Trans. Affect. Comput., 2020

Deep Active Learning with Augmentation-based Consistency Estimation.
CoRR, 2020

Joint Learning of Generative Translator and Classifier for Visually Similar Classes.
IEEE Access, 2020

RRNet: Repetition-Reduction Network for Energy Efficient Depth Estimation.
IEEE Access, 2020

Deep Architecture With Cross Guidance Between Single Image and Sparse LiDAR Data for Depth Completion.
IEEE Access, 2020

Leveraging Contextual Information for Monocular Depth Estimation.
IEEE Access, 2020

Adjusting Decision Boundary for Class Imbalanced Learning.
IEEE Access, 2020

TiVGAN: Text to Image to Video Generation With Step-by-Step Evolutionary Generator.
IEEE Access, 2020

Single Image Super-Resolution via Similarity Between Spatially Scattered Features.
IEEE Access, 2020

Survival prediction of liver cancer patients from CT images using deep learning and radiomic feature-based regression.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

PBP-Net: Point Projection and Back-Projection Network for 3D Point Cloud Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Delivering Meaningful Representation for Monocular Depth Estimation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Slimming ResNet by Slimming Shortcut.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Weight Decay Scheduling and Knowledge Distillation for Active Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

Continual Learning With Extended Kronecker-Factored Approximate Curvature.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Regularization on Spatio-Temporally Smoothed Feature for Action Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Residual Continual Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Revisiting Gist-PCA Hashing for Near Duplicate Image Detection.
J. Signal Process. Syst., 2019

Randomized Voting-Based Rigid-Body Motion Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2019

Refining background subtraction using consistent motion detection in adverse weather.
J. Electronic Imaging, 2019

Exploring the effects of non-local blocks on video captioning networks.
Int. J. Comput. Vis. Robotics, 2019

EDAS: Efficient and Differentiable Architecture Search.
CoRR, 2019

Balancing Domain Gap for Object Instance Detection.
CoRR, 2019

RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation.
CoRR, 2019

Learning Receptive Field Size by Learning Filter Size.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Treatment Response Prediction of Hepatocellular Carcinoma Patients from Abdominal CT Images with Deep Convolutional Neural Networks.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019

Capturing Long-Range Dependencies in Video Captioning.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Collaborative Method for Incremental Learning on Classification and Generation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

NLNL: Negative Learning for Noisy Labels.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning Not to Learn: Training Deep Neural Networks With Biased Data.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data.
IEEE Trans. Neural Networks Learn. Syst., 2018

Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion.
IEEE Signal Process. Lett., 2018

Computationally Efficient Automatic Coast Mode Target Tracking Based on Occlusion Awareness in Infrared Images.
Sensors, 2018

Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures.
Scientometrics, 2018

ELD-Net: An Efficient Deep Learning Architecture for Accurate Saliency Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Example image-based feature extraction for face recognition.
Multim. Tools Appl., 2018

Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Constructing Fast Network through Deconstruction of Convolution.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Regularizing Feature Distribution Using Sliced Wasserstein Distance for Semi-supervised Learning.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2018

BCD-NET: A novel method for cartilage segmentation of knee MRI via deep segmentation networks with bone-cartilage-complex modeling.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Sequential Knowledge Transfer in Teacher-Student Framework Using Densely Distilled Flow-Based Information.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Generating a Fusion Image: One's Identity and Another's Shape.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Highway Driving Dataset for Semantic Video Segmentation.
Proceedings of the British Machine Vision Conference 2018, 2018

Unconstrained Control of Feature Map Size Using Non-integer Strided Sampling.
Proceedings of the British Machine Vision Conference 2018, 2018

Less-Forgetful Learning for Domain Expansion in Deep Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Uncorrelated Component Analysis-Based Hashing.
IEEE Trans. Image Process., 2017

Tunnel Effect in CNNs: Image Reconstruction From Max Switch Locations.
IEEE Signal Process. Lett., 2017

Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization.
SIAM J. Imaging Sci., 2017

Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models.
CoRR, 2017

Why Do Deep Neural Networks Still Not Recognize These Images?: A Qualitative Analysis on Failure Cases of ImageNet Classification.
CoRR, 2017

Deep generative-contrastive networks for facial expression recognition.
CoRR, 2017

Mimicking Ensemble Learning with Deep Branched Networks.
CoRR, 2017

3D face recognition via discriminative keypoint selection.
Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017

Improving Deep Neural Networks by Adding Auxiliary Information.
Proceedings of the Robot Intelligence Technology and Applications 5, 2017

Improved InfoGAN: Generating High Quality Images with Learning Disentangled Representation.
Proceedings of the Robot Intelligence Technology and Applications 5, 2017

Selective Filter Transfer.
Proceedings of the Robot Intelligence Technology and Applications 5, 2017

An Exploration of the Power of Max Switch Locations in CNNs.
Proceedings of the Robot Intelligence Technology and Applications 5, 2017

Cephalometric landmark detection in dental x-ray images using convolutional neural networks.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Contextual convolutional neural networks for lung nodule classification using Gaussian-weighted average image patches.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Refine pedestrian detections by referring to features in different ways.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Detection and segmentation of small renal masses in contrast-enhanced CT images using texture and context feature classification.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Active Convolution: Learning the Shape of Convolution for Image Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deep Pyramidal Residual Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support.
IEEE Trans. Image Process., 2016

HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks.
CoRR, 2016

Less-forgetting Learning in Deep Neural Networks.
CoRR, 2016

Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Seed growing for interactive image segmentation with geodesic voting.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Real-time personalized facial expression recognition system based on deep learning.
Proceedings of the IEEE International Conference on Consumer Electronics, 2016

Deep Saliency with Encoded Low Level Distance Map and High Level Features.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Segmentation of Overlapping Cervical Cells in Microscopic Images with Superpixel Partitioning and Cell-Wise Contour Refinement.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Thinning deep neural networks for sketch recognition.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2016

Supervised Hashing via Uncorrelated Component Analysis.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Markov Network-Based Unified Classifier for Face Recognition.
IEEE Trans. Image Process., 2015

Entropy Minimization for Groupwise Planar Shape Co-alignment and its Applications.
IEEE Signal Process. Lett., 2015

Face recognition using Extended Curvature Gabor classifier bunch.
Pattern Recognit., 2015

Deep Temporal Appearance-Geometry Network for Facial Expression Recognition.
CoRR, 2015

Making a More Reliable Classifier via Random Crop Pooling.
Proceedings of the Robot Intelligence Technology and Applications 4, 2015

Facial age estimation via extended curvature Gabor filter.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Entropy Minimization for Convex Relaxation Approaches.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A new control owner switching system for multiple TV viewers via face recognition.
Proceedings of the IEEE International Conference on Consumer Electronics, 2015

Development of deep learning-based facial expression recognition system.
Proceedings of the 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, 2015

Rotating your face using multi-task deep neural network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

On the Equivalence of Linear Discriminant Analysis and Least Squares.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Segmentation of anterior cruciate ligament in knee MR images using graph cuts with patient-specific shape constraints and label refinement.
Comput. Biol. Medicine, 2014

Face Verification Across Pose via Look-Alike Ranked List Comparison.
Proceedings of the Robot Intelligence Technology and Applications 3, 2014

Image Classification Using Convolutional Neural Networks With Multi-stage Feature.
Proceedings of the Robot Intelligence Technology and Applications 3, 2014

Randomized decision bush: Combining global shape parameters and local scalable descriptors for human body parts recognition.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Salient Region Detection via High-Dimensional Color Transform.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Convex Relaxation of the Ambrosio-Tortorelli Elliptic Functionals for the Mumford-Shah Functional.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Rigid Motion Segmentation Using Randomized Voting.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

RoVatar: semi-autonomous robot boxing game by miniature avatars.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Burstiness-aware I/O scheduler for MapReduce framework on virtualized environments.
Proceedings of the International Conference on Big Data and Smart Computing, BIGCOMP 2014, 2014

Real-time 3D human pose recognition from reconstructed volume via voxel classifiers.
Proceedings of the Three-Dimensional Image Processing, 2014

2013
Automatic Salient Object Detection Using Principal Component Analysis.
Proceedings of the Robot Intelligence Technology and Applications 2, 2013

An efficient lane detection algorithm for lane departure detection.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

A novel method for salient object detection via compactness measurement.
Proceedings of the IEEE International Conference on Image Processing, 2013

Markov network-based multiple classifier for face image retrieval.
Proceedings of the IEEE International Conference on Image Processing, 2013

Markov Network-Based Unified Classifier for Face Identification.
Proceedings of the IEEE International Conference on Computer Vision, 2013

High-definition video-based multi-channel top-view vehicle surrounding monitoring system for mobile navigation devices.
Proceedings of the IEEE International Conference on Consumer Electronics, 2013

Speaker dependent visual speech recognition using Extended Curvature Gabor filters.
Proceedings of the IEEE International Conference on Consumer Electronics, 2013

2012
Achievable Rates of Multi-Antenna Downlink Channels with Peak Power Constraints.
IEEE Trans. Commun., 2012

Automatic Image Segmentation Using Saliency Detection and Superpixel Graph Cuts.
Proceedings of the Robot Intelligence Technology and Applications 2012, 2012

Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment.
Proceedings of the Robot Intelligence Technology and Applications 2012, 2012

Block Poisson Method and its application to large scale image editing.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Groupwise Shape Registration Based on Entropy Minimization.
Proceedings of the Pattern Recognition, 2012

Anterior Cruciate Ligament Segmentation from Knee MR Images Using Graph Cuts with Geometric and Probabilistic Shape Constraints.
Proceedings of the Computer Vision, 2012

2011
Face Recognition System Using Multiple Face Model of Hybrid Fourier Feature Under Uncontrolled Illumination Variation.
IEEE Trans. Image Process., 2011

Face recognition system using Extended Curvature Gabor classifier bunch for low-resolution face image.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Are we transiting from an industrial policy to a technology policy era?: a theoretical and empirical analysis.
Int. J. Technol. Manag., 2010

Balancing industry outlooks and technology policy as response.
Int. J. Technol. Manag., 2010

Rate Enhancement for the Gaussian Z-Interference Channel with Transmitter Cooperation.
IEEE Commun. Lett., 2010

Two-User Multi-Antenna Downlink Channels with Peak Power Constraints.
Proceedings of the Global Communications Conference, 2010

2009
Face recognition using gender information.
Proceedings of the International Conference on Image Processing, 2009

2008
An exit for the IT industry?: Market saturation and the convergence of ubiquitous technology for manufacturing and service sectors.
Int. J. Technol. Manag., 2008

From consortium to e-science: an evolutionary track of organising technology development.
Int. J. Technol. Manag., 2008

Resource Partitioning with Beamforming for the Decode-Forward Relay Networks.
EURASIP J. Wirel. Commun. Netw., 2008

2007
Nonparametric shape priors for active contour-based image segmentation.
Signal Process., 2007

Why 'design' does not work well for cluster policy: with the implications for Science and Technology (S&T) manpower policy.
Int. J. Technol. Manag., 2007

Will technology fusion induce the paradigm change of university education?
Int. J. Technol. Manag., 2007

2005
Nonparametric statistical methods for image segmentation and shape analysis.
PhD thesis, 2005

A Nonparametric Statistical Method for Image Segmentation Using Information Theory and Curve Evolution.
IEEE Trans. Image Process., 2005

Recovering from science: how far can we push?
Int. J. Technol. Manag., 2005

Are industries destined toward "productivity paradox"? An empirical case of Korea.
Int. J. Technol. Manag., 2005

2003
Incorporating complex statistical information in active contour-based image segmentation.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
A curve evolution-based variational approach to simultaneous image restoration and segmentation.
Proceedings of the 2002 International Conference on Image Processing, 2002

Nonparametric methods for image segmentation using information theory and curve evolution.
Proceedings of the 2002 International Conference on Image Processing, 2002

2000
Incorporating Spatial Priors into an Information Theoretic Approach for <i>f</i>MRI Data Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2000

1999
Analysis of Functional MRI Data Using Mutual Information.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999


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