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We are a lab led by Prof. WonSook Lee working on 2D images and 3D graphics. We use not only traditional methods of image processing and 3D data, but also recent machine/deep learning methods.
News!
Congratulations to
Dongyoung Kim for acceptance of his paper "Separated and Independent Contrastive Learning on Labeled and Unlabeled Samples: Boosting Performance on Long-tail Semi-supervised Learning" to the Thirty Fifth British Machine Vision Conference BMVC 2024. BMVC is one of the major international conferences on computer vision and related areas
Maryam Tavakol Elahi for acceptance of her paper “Swef-UNet: Toward an Efficient Pure Transformer-based Medical Image Segmentation” to Conference: 2024 International Conference on Machine Learning and Applications (ICMLA)
Reza Sadeghian for acceptance of his paper “Transformer-Based Fusion of RGB and LiDAR Data for Enhanced 2D Object Detection“ to the International Conference on Pattern Recognition (ICPR)
Jungmin Hwang for acceptance of his paper "QSD: Query-Selection Denoising score for Image Editing in Latent Diffusion Model” to AIM: Advances in Image Manipulation workshop and challenges at ECCV 2024
Jungmin Hwang for acceptance of his paper "Query-Selected Global Attention for Text guided Image Style Transfer using Diffusion Model” to IEEE CAI 2024 (IEEE Conference on Artificial Intelligence)
Cristopher McIntyre-Garcia for acceptance of his paper "Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach" to 2024 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)
Maryam Tavakol Elahi for acceptance of her paper "SAttisUNet: UNet-like Swin Transformer with Attentive Skip Connections for Enhanced Medical Image Segmentation" in IEEE ICMLA 2023. (Acceptance rate: less than 32%)
Maryam Tavakol Elahi for acceptance of her paper "Toward Macrostructural and Microstructural Investigation of the Cervical Spinal Cord Through Quantitative Analysis of T2-weighted And Diffusion-Weighted Imaging" in ASIA 2022 (American Spinal Injury Association)
(May 16, 2024) Jungmin Hwang for successfully defending his Master thesis - "Rapid Content-aware Image Style Transfer Using Attention Map Guidance and Diffusion Model"
(Aug 29, 2023) Zhao Zhang (Herbert) for successfully defending his Master thesis - "3D face reconstruction from a front image by pose extension in latent space"
Yuchuan Li for acceptance of his paper "A feasibility study on translation of RGB images to thermal images: Development of a machine learning algorithm" to SN Computer Science. It is in collaboration with NRC (Dr. Yoon Ko)
Maryam Tavakol Elahi for acceptance of her paper "Toward macrostructural and microstructural investigation of the cervical spinal cord through quantitative analysis of T2-weighted and diffusion-weighted imaging" to Canadian Journal of Surgery. It is in collaboration with Ottawa Hospital (Dr. Philippe Phan.
Dr. Yunhee Woo for acceptance of her paper "Automatic Sleep Stage Classification Using Deep Learning Algorithm for Multi-Institutional Database" in IEEE Access.
(Nov 2, 2022) Ali Sekhavati for successfully defending his Master thesis - "Multi-Template Temporal Siamese Network for Visual Object Tracking"
(July 8, 2022) Prof WonSook Lee for the KOFST Scientist of the Year Award from Korean Federation of Science & Technology Societies that is the biggest non-govement organization in Korea for science and technology. The awards are given to four recipientsin Canada in 2022.
(June 21, 2022) Yuehua Song for successfully defending her Master thesis - "TwinLossGAN: Domain Adaptation Learning for Semantic Segmentation"
(May 5, 2022) Yansong Li for successfully defending his Master thesis - "Query-centric personalized-graph based recommendation system"
(May 20, 2022) Kun Yuan for the Joseph De Koninck Thesis Prize from the University of Ottawa. This prize is awarded annually for an outstanding master’s thesis in an interdisciplinary or collaborative program.
(April 21, 2022) Junhao Yao for successfully defending his Master thesis - "Domain Adaptation on Semantic Segmentation with Separate Affine Transformation in Batch Normalization"
(April 6, 2022) Chao Sun for successfully defending her PhD thesis - "3D Hair Reconstruction based on Hairstyle Attributes Learning from Single-view Hair Image using Deep Learning"
(Dec 9, 2021) Yuehua Song for acceptance of her paper "MixedGAN: Facilitating GAN for Domain Adaptation Learning based on Mixing Different Domain Images for Semantic Segmentation" submitted to IEEE ICSC 2021 : International Conference on Semantic Computing. It will be held in Laguna Hills, CA during 2022-01-26 - 2022-01-28. - (Impact Score 2.21 and Google Scholar H5-index 23)
(Dec 13, 2021) Chanho Kim for successfully defending his Master thesis - "Adversarial Framework with Temperature as a Regularizer for Semantic Segmentation"
(Dec 6, 2021) Kun Yuan for successfully defending his Master thesis. He is also nominated for thesis prize.- "Surgical Workflow Anticipation using Instrument Interaction"
(Oct 4, 2021) Iffa Hujaleh for successfully defending her Master thesis.- "3D Printed Patient Specific Surgical Guide for Spine Registration During Minimally Invasive Surgery"
(Oct 1, 2021) Kun Yuan who won the young scientist award in the MICCAI 2021 conference, which was given to a first student author of a paper "Surgical Workflow Anticipation using Instrument Interaction".
(Sep 28, 2021) Kun Yuan for being featured his work on the MICCAI Daily of Tuesday 28. The article is about the oral presentation: Surgical Workflow Anticipation using Instrument Interaction in MICCAI 2021 conference. https://www.rsipvision.com/MICCAI2021-Tuesday/10/
(Sep 2, 2021) Qing Ma for successfully defending his Master thesis. - "Synthetic X-ray Image Generation from CT data and its Super-Resolution"
(Aug 30, 2021) Yuchuan Li for successfully defending his Master thesis. - "Image-based Flashover Prediction System Design"
(July 28, 2021) Qing Ma for acceptance and publication of his paper "A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution" submitted to MLMIR 2021 - The fourth international workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2021, will be held in conjunction with MICCAI 2021, in Strasbourg, France, in October 2021
(June 28, 2021) Reza Hajari for acceptance and publication of his paper "Advances in Gamification in Education" submitted to eLmL 2021 : The 13th International Conference on Mobile, Hybrid, and On-line Learning. Jul 18, 2021 - Jul 22, 2021 in Nice, France
(June 28, 2021) Chanho Kim for acceptance and publication of his paper "Temperature as a Regularizer for Semantic Segmentation" submitted to the ESANN 2021, The 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. (Impact Score 2.15 and Google Scholar H5-index 18 - one of top conferences in Computational Theory and Mathematics / Machine Learning & Artificial Intelligence.
(June 12, 2021) Kun Yuan for acceptance and publication of his paper "Surgical Workflow Anticipation using Instrument Interaction" to the MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer Assisted Intervention, will be held from September 27th to October 1st 2021 (H5-index 61 and impact factor 9.73) - ranking 1 conference in Biomedical & Medical Informatics and ranking 6 in Image Processing & Computer Vision.
(May 9, 2021) Chao Sun for acceptance and publication of her paper "Single-View Procedural Braided Hair Modeling through Braid Unit Identification in Computer Animation and Virtual Worlds" to the International Conference of Computer Animation & Social Agents 2021 and in the special issue of Wiley’s Computer Animation and Virtual Worlds (CAVW). The paper is found at http://doi.org/10.1002/cav.2007
(Feb 12, 2021) Md Aminur Rab Ratul and Kun Yuan for acceptance of their paper "CCX-RAYNET: A CLASS CONDITIONED CONVOLUTIONAL NEURAL NETWORK FOR BIPLANAR X-RAYS TO CT VOLUME " to International Symposium on Biomedical Imaging (ISBI) (H5-index 43, Impact Score 6.6) - one of top conferences in Image Processing & Computer Vision
it has been selected for oral presentation. Double congratulations!
(Dec 16, 2020) Md Aminur Rab Ratul for successfully defending his Master thesis. - "A Class-Conditioned Network to Reconstruct CT Volumes from X-Rays: Depth-Aware Connection and Adaptive Feature Fusion"
(Sep 22, 2020) M. Hamed Mozaffari for acceptance of his paper "Semantic segmentation with peripheral vision" to ISVC : International Symposium on Visual Computing (ISVC2020) (H5-index 15) - one of top conferences in Image Processing & Computer Vision
(Sep 11, 2020) Md Aminur Rab Ratul, Maryam Tavakol Elahi and M. Hamed Mozaffari for acceptance of their paper "PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure" to International Conference on Digital Image Computing Techniques and Applications (DICTA2020) (H5-index 14) - one of top conferences in Image Processing & Computer Vision
(Sep 16, 2020) Md Aminur Rab Ratul, Maryam Tavakol Elahi and Kun Yuan for acceptance of their paper "RAM-Net: A Residual Attention MobileNet to Detect COVID-19 Cases from Chest X-Ray Images" to International Conference on Machine Learning and Applications (ICMLA2020) (H5-index 22) - one of top conferences in Image Processing & Computer Vision
(Sep 9, 2020) Kang Wang for successfully defending his Master thesis - "Image Transfer Between Magnetic Resonance Images and Speech Diagrams"
(Aug 28, 2020) Jiawei Li for successfully defending his Master thesis and his thesis has been nominated for a thesis price - "High-resolution Semantic Interpolation for CT images and Application"
(May 15, 2020) Jiawei Li for acceptance of his paper "HRINET: ALTERNATIVE SUPERVISION NETWORK FOR HIGH-RESOLUTION CT IMAGE INTERPOLATION" to IEEE International Conference on Image Processing (ICIP2020) (H5-index 52, Impact Score 7.59) - one of top conferences in Image Processing & Computer Vision
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