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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Continuous Localization Using Sparsity Constraints for High-Density Super-Resolution Microscopy
Published in IEEE International Symposium on Biomedical Imaging (ISBI), 2013
A continuous-domain sparsity approach for high-density super-resolution localization microscopy.
Junhong Min, Cédric Vonesch, Nicolas Olivier, Hagai Kirshner, Suliana Manley, Jong Chul Ye, and Michael Unser. "Continuous Localization Using Sparsity Constraints for High-Density Super-Resolution Microscopy." ISBI, 2013.
Improving Resolution of Fluorescent Microscopy Using Speckle Illumination and Joint Sparse Recovery
Published in IEEE International Symposium on Biomedical Imaging (ISBI), 2013
A conference paper on speckle illumination and joint sparse recovery for fluorescent microscopy resolution enhancement.
Jong Chul Ye, Junhong Min, and Jaeduck Jang. "Improving Resolution of Fluorescent Microscopy Using Speckle Illumination and Joint Sparse Recovery." ISBI, 2013.
Fluorescent Microscopy Beyond Diffraction Limits Using Speckle Illumination and Joint Support Recovery
Published in Scientific Reports, 2013
A computational imaging method that combines speckle illumination and joint support recovery for super-resolution microscopy.
Junhong Min, Jaeduck Jang, Dongmin Keum, Seung-Wook Ryu, Chulhee Choi, Ki-Hun Jeong, and Jong Chul Ye. "Fluorescent Microscopy Beyond Diffraction Limits Using Speckle Illumination and Joint Support Recovery." Scientific Reports, 2013.
Fast Maximum Likelihood High-Density Low-SNR Super-Resolution Localization Microscopy
Published in International Conference on Sampling Theory and Applications (SampTA), 2013
A maximum-likelihood approach for high-density, low-SNR super-resolution localization microscopy.
Kyungsang Kim, Junhong Min, Lina Carlini, Michael Unser, Suliana Manley, Daejong Jeon, and Jong Chul Ye. "Fast Maximum Likelihood High-Density Low-SNR Super-Resolution Localization Microscopy." SampTA, 2013.
FALCON: Fast and Unbiased Reconstruction of High-Density Super-Resolution Microscopy Data
Published in Scientific Reports, 2014
A fast continuous-space reconstruction algorithm for high-density super-resolution microscopy.
Junhong Min, Cédric Vonesch, Hagai Kirshner, Lina Carlini, Nicolas Olivier, Seamus Holden, Suliana Manley, Jong Chul Ye, and Michael Unser. "FALCON: Fast and Unbiased Reconstruction of High-Density Super-Resolution Microscopy Data." Scientific Reports, 2014.
3D High-Density Localization Microscopy Using Hybrid Astigmatic/Biplane Imaging and Sparse Image Reconstruction
Published in Biomedical Optics Express, 2014
A 3D high-density localization microscopy system combining hybrid optics and sparse reconstruction.
Junhong Min, Seamus J. Holden, Lina Carlini, Michael Unser, Suliana Manley, and Jong Chul Ye. "3D High-Density Localization Microscopy Using Hybrid Astigmatic/Biplane Imaging and Sparse Image Reconstruction." Biomedical Optics Express, 2014.
Patch Based Low Rank Structured Matrix Completion for Accelerated Scanning Microscopy
Published in IEEE International Symposium on Biomedical Imaging (ISBI), 2015
A structured low-rank matrix completion method for accelerated scanning microscopy.
Kyong Hwan Jin, Junhong Min, and Jong Chul Ye. "Patch Based Low Rank Structured Matrix Completion for Accelerated Scanning Microscopy." ISBI, 2015.
Quantitative Evaluation of Software Packages for Single-Molecule Localization Microscopy
Published in Nature Methods, 2015
A quantitative benchmark of software packages for single-molecule localization microscopy.
Daniel Sage, Hagai Kirshner, Thomas Pengo, Nico Stuurman, Junhong Min, Suliana Manley, and Michael Unser. "Quantitative Evaluation of Software Packages for Single-Molecule Localization Microscopy." Nature Methods, 2015.
Fast Live Cell Imaging at Nanometer Scale Using Annihilating Filter-Based Low-Rank Hankel Matrix Approach
Published in SPIE Wavelets and Sparsity XVI, 2015
A low-rank Hankel matrix approach for fast, high-density super-resolution live-cell imaging.
Junhong Min, Lina Carlini, Michael Unser, Suliana Manley, and Jong Chul Ye. "Fast Live Cell Imaging at Nanometer Scale Using Annihilating Filter-Based Low-Rank Hankel Matrix Approach." SPIE Wavelets and Sparsity XVI, 2015.
A Deep Convolutional Neural Network Using Directional Wavelets for Low-Dose X-Ray CT Reconstruction
Published in Medical Physics, 2017
A wavelet-domain CNN for low-dose CT reconstruction, developed from the 2016 AAPM Low-Dose CT Grand Challenge work.
Eunhee Kang, Junhong Min, and Jong Chul Ye. "A Deep Convolutional Neural Network Using Directional Wavelets for Low-Dose X-Ray CT Reconstruction." Medical Physics, 2017.
Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy
Published in IEEE Transactions on Image Processing, 2018
A grid-free localization algorithm based on low-rank Hankel matrix structure for high-density super-resolution microscopy.
Junhong Min, Kyong Hwan Jin, Michael Unser, and Jong Chul Ye. "Grid-Free Localization Algorithm Using Low-Rank Hankel Matrix for Super-Resolution Microscopy." IEEE Transactions on Image Processing, 2018.
Hierarchical 6-DoF Grasping with Approaching Direction Selection
Published in IEEE International Conference on Robotics and Automation (ICRA), 2020
A hierarchical grasping method that selects approaching directions for 6-DoF manipulation in cluttered scenes.
Yunho Choi, Hogun Kee, Kyungjae Lee, JaeGoo Choy, Junhong Min, Sohee Lee, and Songhwai Oh. "Hierarchical 6-DoF Grasping with Approaching Direction Selection." ICRA, 2020.
Sim-to-real Object Pose Estimation for Random Bin Picking
Published in IEEE International Conference on Robotics and Automation (ICRA), 2024
A sim-to-real object pose estimation method for robotic random bin picking in industrial settings.
Boyoung Kim and Junhong Min. "Sim-to-real Object Pose Estimation for Random Bin Picking." ICRA, 2024.
Confidence Aware Stereo Matching for Realistic Cluttered Scenario
Published in IEEE International Conference on Image Processing (ICIP), 2024
A confidence-aware stereo matching approach and real-world stereo dataset for cluttered industrial scenes.
Junhong Min and Youngpil Jeon. "Confidence Aware Stereo Matching for Realistic Cluttered Scenario." ICIP, 2024.
S²M²: Scalable Stereo Matching Model for Reliable Depth Estimation
Published in IEEE/CVF International Conference on Computer Vision (ICCV), 2025
A scalable global stereo matching architecture for robust depth estimation across resolutions, disparity ranges, and benchmarks.
Junhong Min, Youngpil Jeon, Jimin Kim, and Minyong Choi. "S²M²: Scalable Stereo Matching Model for Reliable Depth Estimation." ICCV, 2025.
Comprehensive Survey on Advances and Challenges in RGB-D Semantic Segmentation
Published in Pattern Recognition, 2026
A survey of recent advances, models, datasets, and open challenges in RGB-D semantic segmentation.
Soyun Choi, Eunnam Cho, Aecheon Jung, Byungchul Min, Junhong Min†, and Sungeun Hong†. "Comprehensive Survey on Advances and Challenges in RGB-D Semantic Segmentation." Pattern Recognition, 2026.
DepthFocus: Controllable Depth Estimation for See-Through Scenes
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
A steerable stereo depth estimation model for resolving layered geometry in transparent and reflective scenes.
Junhong Min, Jimin Kim, Minwook Kim, Cheol-Hui Min, Youngpil Jeon, and Minyong Choi. "DepthFocus: Controllable Depth Estimation for See-Through Scenes." CVPR, 2026.