Vision and Machine Learning Laboratory

Welcome to Vision and Machine Learning (VML) Laboratory!

Research Areas

News

2024.12.16 Minji Kim joined our lab.! Welcome!

2024.11.18 Yeon Jae Lee joined our lab.! Welcome!

2024.11.13 Our new paper, "SA-DETR: Saliency Attention-based DETR for Salient Object Detection", is accepted for publication in Pattern Analysis and Applications.

2024.11.03 Our new paper, "Feature-Centric Registration of Large Deformed Images using Transformers and Correlation Distance", is accepted for publication in Computers in Biology and Medicine (JCR 2023 top 2.3%).

2024.10.15 Minyoung Chung has been recognized as a 2024 Distinguished Reviewer (Gold level) for IEEE Transactions on Medical Imaging.

2024.08.10 Our new paper, "Adversarial Example Denoising and Detection based on the Consistency between Fourier-transformed Layers", is accepted for publication in Neurocomputing.

2024.08.06 Our new paper, "UC-Hybrid: Uncertainty-based Contrastive Learning on Hybrid Network for Medical Image Segmentation", is accepted for publication in Computer Methods and Programs in Biomedicine.

2024.06.24 Yunha Seo, Bohyeon Park, Daseul Gi, and Hyewon Shin joined our lab.! Welcome!

2024.02.03 Our new paper, "Point Cloud Registration with Rotation-invariant and Dissimilarity-based Salient Descriptor", is accepted for publication in Multimedia Tools and Applications.

2023.09.20 Frank Moon joined our lab.! Welcome!

2023.08.22 Seung Kwan Jo joined our lab.! Welcome!

2023.05.30 Our new paper, "3DTeethSeg'22: 3D Teeth Scan Segmentation and Labeling Challenge", appeared at arXiv:2305.18277.

2023.03.12 Our new paper, "Robust Kernel-based Feature Representation for 3D Point Cloud Analysis via Circular Convolutional Network", is accepted for publication in Computer Vision and Image Understanding.

2023.03.04 Our new paper, "Automatic Registration of Dental CT and 3D Scanned Model using Deep Split Jaw and Surface Curvature", is accepted for publication in Computer Methods and Programs in Biomedicine.

2023.02.04 Our new paper, "Adversarial Example Detection by Predicting Adversarial Noise in the Fourier Domain", is accepted for publication in Multimedia Tools and Applications.

2023.01.02 Dong Hyun Lee joined our lab.! Welcome!

2022.11.10 Our new paper, "Accurate Depth Image Generation via Overfit Training of Point Cloud Registration using Local Frame Sets", is accepted for publication in Computer Vision and Image Understanding.

2022.09.25 Our new paper, "Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation", is accepted for publication in Computers in Biology and Medicine.

2022.07.25 Our new paper, "Monocular Depth Estimation of Indoor Environments Using Enhanced RGB-D Dataset", appeared at SSRN.

2022.07.14 Our new paper, "Accurate Ground-Truth Depth Image Generation via Overfit Training of Point Cloud Registration using Local Frame Sets", appeared at arXiv:2207.07016. and at SSRN (2022.07.27)

2022.06.19 Our new paper, "Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions", is accepted for publication in Computers in Biology and Medicine.

2022.05.14 Our new paper, "Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation", appeared at arXiv:2205.06987.

2022.01.25 Our new paper, "Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement", is accepted for publication in Multimedia Tools and Applications.

2022.01.07 So Hyun Kim joined our lab.! Welcome!

2021.11.16 Our new paper, "Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation", is accepted for publication in Computer Methods and Programs in Biomedicine.

2021.11.06 Our new paper, "Cephalometric Landmark Detection via Global and Local Patch-wise Attentions", is accepted for publication in Neurocomputing.

2021.09.09 Hyensoo Jang joined our lab.! Welcome!

2021.06.29 Jonghoon An joined our lab.! Welcome!

2021.06.18 Heeyeon Kim joined our lab.! Welcome!

2021.05.28 Our new paper, "Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions", appeared at arXiv:2105.13153.

2021.05.17 Our new paper, "Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation", appeared at arXiv:2105.07672.

2021.03.26 Eight undergraduate students (EunSeok Kim, Kwangwoon Nam, Jeeheon Kim, Jeong Lok Park, Siyual Park, Seokhun Ji, Frank Moon, and Jiwon Lee) joined our lab.! Welcome to everyone!

2021.03.26 Weekly VML lab. seminar has been kicked off!

2021.03.02 Minyoung Chung is now the director of Vision and Machine Learning (VML) laboratory.

2021.02.03 Our new paper, "Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement", appeared at arXiv:2102.01315.

2021.01.18 Our new paper, "Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention", is accepted for publication in Artificial Intelligence in Medicine.

2021.01.11 Our new paper, "Robust Kernel-based Feature Representation for 3D Point Cloud Analysis via Circular Graph Convolutional Network", appeared at arXiv:2012.12215.

2020.11.17 Our new paper, "Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization", is accepted for publication in Artificial Intelligence in Medicine.

2020.10.22 Our new paper, "Multiple Weld Seam Extraction from RGB-depth Images for Automatic Robotic Welding via Point Cloud Registration", is accepted for publication in Multimedia Tools and Applications.

2020.07.01 Our new paper, "Automatic Registration between Dental Cone-Beam CT and Scanned Surface via Deep Pose Regression Neural Networks and Clustered Similarities", is accepted for publication in IEEE Transactions on Medical Imaging.

2020.04.14 Our new paper, "Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization", appeared at arXiv:2004.05543.

2020.03.21 Our new paper, "Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation", is accepted for publication in Computers in Biology and Medicine.

2020.03.13 Our new paper, "Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation", is accepted for publication in Computer Methods and Programs in Biomedicine.

2020.02.14 Our new paper, "Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention", appeared at arXiv:2002.05895.

2020.02.07 Our new paper, "Pose-Aware Instance Segmentation Framework from Cone-Beam CT Images for Tooth Segmentation", appeared at arXiv:2002.02143.