Andrea Scott – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP https://vip.uwaterloo.ca The University of Waterloo's Vision and Image Processing Lab Tue, 10 Mar 2026 19:40:38 +0000 en-CA hourly 1 https://wordpress.org/?v=6.7 https://vip.uwaterloo.ca/wp-content/uploads/2023/04/cropped-favicon-32x32.png Andrea Scott – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP https://vip.uwaterloo.ca 32 32 Junfeng Lei https://vip.uwaterloo.ca/junfeng-lei/ Tue, 24 Sep 2024 04:00:56 +0000 https://vip.uwaterloo.ca/?p=4014 Junfeng is currently pursuing a M.A.Sc degree in Systems Design Engineering at the University of Waterloo, Canada. His research interests include machine learning and image processing with applications in remote sensing.

Email: junfeng.lei@uwaterloo.ca
Github: https://github.com/Junf137

Supervisors
David Clausi, Andrea Scott
Research interests
Image Processing, Machine Learning, Remote Sensing.
Research topics
Computer Vision
Image Segmentation/Classification
Remote Sensing
Publications
Journal Articles

Conference Papers

]]> Lily de Loë https://vip.uwaterloo.ca/l-de-loe/ Mon, 24 Jun 2024 18:19:50 +0000 https://vip.uwaterloo.ca/?p=3903 Lily is a Master of Applied Science (MASc) candidate in Systems Design Engineering, under the supervision of Dr. David Clausi and Dr. Andrea Scott. She is a member of the Vision and Image Processing (VIP) Lab’s Remote Sensing Group, where her research focuses on deep learning approaches for fusing visible and infrared measurements with Synthetic Aperture Radar (SAR) and passive microwave (PM) data. This work investigates if incorporating visible infrared measurements can enhance multi-task sea ice parameter estimation in regions that pose challenges for SAR and PM data.

Lily graduated from Queen’s University in 2023, where she completed a Bachelor of Applied Science (BASc) in Engineering Physics Computing.

Email: lcbdeloe@uwaterloo

Supervisors
David Clausi, Andrea Scott
Research interests
Machine Learning, Remote Sensing, Sea Ice Classification.
Research topics
Computer Vision
Image Segmentation/Classification
Remote Sensing
]]> Fernando J. Pena Cantu https://vip.uwaterloo.ca/f-pena/ Mon, 01 May 2023 21:49:32 +0000 https://vip.uwaterloo.ca/?p=3286 Hi! My name is Fernando J. Pena Cantu and I am a MASc student with the VIP Lab’s Remote Sensing Group. My current research focuses on investigating the relationship between textural features and the incidence angle in synthetic aperture radar (SAR) imagery for sea ice classification. This topic has important implications for understanding the effects of SAR imaging parameters on sea ice detection and classification.

I am also involved in research on deep learning for sea ice segmentation and small object detection for whale surveying.

My research interests span a variety of topics in remote sensing, including synthetic aperture radar, textural features, deep learning, sea ice segmentation, domain adaptation, feature selection, and diffusion models. I am excited to continue exploring these areas and contributing to the advancement of remote sensing technologies.

Email: fjpenaca@uwaterloo.ca

Supervisors
David Clausi, Andrea Scott
Research interests
My current research interest are: Remote Sensing , Synthetic Aperture Radar, Textural Features, Deep Learning, Sea Ice Segmentation, Domain Adaptation, Feature Selection, Diffusion Models
Research topics
Computer Vision
Image Segmentation/Classification
Remote Sensing
Research demos
Satellite SAR Sea Ice Classification
Texture Classification
]]> Neil Brubacher https://vip.uwaterloo.ca/n-brubacher/ Wed, 26 Apr 2023 14:45:48 +0000 https://vip.uwaterloo.ca/?p=2528 Neil is pursuing a MASc degree within the VIP Lab’s Remote Sensing group, continuing his Systems Design Engineering journey after having earned a BASc in SYDE in 2021. His research investigates deep learning methods for automating the interpretation of satellite and aerial imagery towards operational applications such as community sea ice safety and marine mammal surveying. His interests span remote sensing, arctic research, oceanography and deep learning methdologies, with specialization in Synthetic Aperture Radar (SAR) image processing & interpretation.

Email: ncbrubac@uwaterloo.ca

Supervisors
David Clausi, Andrea Scott
Research interests
SAR image analysis, small-object detection, ice/water classification
Research topics
Computer Vision
Image Segmentation/Classification
Remote Sensing
Research demos
Satellite SAR Sea Ice Classification

]]> Xinwei Chen https://vip.uwaterloo.ca/x-chen/ Tue, 25 Apr 2023 21:42:07 +0000 https://vip.uwaterloo.ca/?p=2482 Xinwei Chen received the B.Eng. degree in information engineering from the South China University of Technology, Guangzhou, China, in 2017, and the Ph.D. degree in electrical engineering from the Memorial University of Newfoundland, St. John’s, NL, Canada, in 2021. He is currently a Post-Doctoral Fellow with the Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada. His research interests include machine learning and computer vision with applications in remote sensing.

email: xinwei.chen@uwaterloo.ca

Google scholar: https://scholar.google.ca/citations?user=fJ0IHRUAAAAJ&hl=en&authuser=1

Supervisors
David Clausi, Andrea Scott
Research interests
Computer vision, deep learning, remote sensing, SAR, sea ice
Research topics
Computer Vision
Image Segmentation/Classification
Remote Sensing
Publications
Journal Articles

Conference Papers

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