Current RAP/PDF – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP

Maria Koshkina

Maria Koshkina — Wed, 01 Apr 2026 21:05:28 +0000

I am a Postdoctoral Fellow in the Sports Analytics Research Group, specializing in automatic video understanding for sports. I hold a PhD from the Department of Electrical Engineering and Computer Science, York University and have over 15 years of experience as a professional software developer.

Personal website: https://mkoshkina.github.io/

Research interests

video understanding, multi-object tracking, action recognition

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Research topics

Sports Analytics
Video Analysis

Amir Nazemi

Amir Nazemi — Thu, 03 Aug 2023 20:43:30 +0000

The longer you look at an object, the more abstract it becomes, and, ironically, the more real.
Lucian Freud

Postdoctoral Fellow Ph.D.

Amir has years of experience in machine learning, computer vision and has been a part of multiple interdisciplinary teams, including a research lab in Korea, a joint research project with Microsoft, and a collaboration with the Faculty of Health at the University of Waterloo. Amir is interested in video analysis and particularly long video object segmentation and continual/lifelong learning.

He is currently a postdoctoral fellow at the Sport Analytic Research Group, which is led by Prof. David Clausi.

He particularly enjoys working with scientists from various fields to develop new skills and face new challenges.

Based on Myers-Briggs Type Indicator (MBTI) he is an INFJ-type type person.

For viewing his full portfolio visit: http://amirnazemi.com

Research interests

Machine learning and artificial intelligence. Computer vision and image processing. Video Object Segmentation. Continual learning.

Xinwei Chen

Xinwei Chen — Tue, 25 Apr 2023 21:42:07 +0000

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

Journal Articles

Conference Papers

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Yuhao Chen

Yuhao Chen — Tue, 25 Apr 2023 17:01:31 +0000

Yuhao Chen is a Research Assistant Professor at the Vision and Image Processing Lab (VIP) in systems design engineering at university of Waterloo. He was a postdoctoral fellow at the VIP lab from 2020-2023. He obtained his B.A.Sc. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University in 2015 and 2019, respectively, while being a member of the Video and Image Processing (VIPER) laboratory. With a strong passion for exploring the cutting-edge technologies, Yuhao’s research has been focused on developing computer vision and artificial intelligence solutions for industrial applications, specifically in the fields of precision health and precision manufacturing. He currently leads projects in food image analysis, medical imaging for covid, efficient Neural Radience Field, data augmentation using diffusion models for food and cancer images, 3d human pose and motion for hockey games, human avatar and motion from 2d images and videos, implicit representation for 3D and 2D geometries, multi-task learning for robotic vision systems.

Yuhao is a chair for IAAI-24. He also co-chaired IAAI-23, CVIS2021, CVIS2022.

Besides research, Yuhao builds and manages GPU-servers for the VIP lab. He enjoys playing board games and ping pong with students.

Personal website: https://yhc-1.github.io/yuhao-chen/

Research interests

Computer vision, machine learning, deep learning, precision agriculture, precision health, precision manufacturing

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Linlin Xu

Linlin Xu — Wed, 29 Mar 2023 19:13:55 +0000

I am a Research Assistant Professor in the Department of Systems Design Engineering, working on AI, machine learning, Earth Observation and Environmental Remote Sensing projects.

In my key research areas, I have demonstrated excellence, leadership and recognition. I, as principal investigator, have successfully secured many competitive grants, including NSERC Discovery Grant. I have published one book chapter, 66 journal papers on high-rank remote sensing journals and 41 conference articles on high-impact conferences.

I have been involved in many invited talks and presentations to different audiences, and I frequently receive reviewer invitations from high-impact remote sensing journals and conferences. I serve as the Associate Editor of Frontiers in Environmental Science (Section: Big Data, AI and the Environment).

LinkedIn: linkedin.com/linlinxu.

Google Scholar: https://scholar.google.com/linlinxu

Email: l44xu@uwaterloo.ca

Research interests

With the explosion of Earth observation (EO) data, fast EO market growth is bottlenecked by the lack of intelligent analytics that can automatically transfer large-volume, ever-increasing, noisy, heterogeneous raw EO data into compact, real-time, value-added information products. I tailor-design cutting-edge AI solutions to enable automatic generation of scalable EO information products in a high-precision, fast and cost-effective manner to better support various key applications in environmental monitoring, resource exploration and climate change studies. I have strong expertise on AI and machine learning (ML), geospatial data science, different remote sensing techniques (i.e., Hyperspectral, Lidar and SAR remote sensing), and their environmental monitoring applications, e.g., land cover/use classification, hyperspectral mapping of biophysical, biochemical, and geochemical parameters, oil spill detection, and high-resolution Pan-Arctic sea/lake ice mapping.

Students

Supervision – Current

PDF

Ph.D

M.A.Sc

Supervision – Completed

PDF

Ph.D

M.A.Sc

Research topics

Computer Vision
Image Segmentation/Classification
Remote Sensing
Stochastic Models

Research demos

Compressed Sensing
Disparate Scene Registration
Grid Seams: A fast superpixel algorithm for real-time applications
MAGIC System
SAR Sea Ice Image Synthesis
Satellite SAR Sea Ice Classification
Texture Classification

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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