Dataset – VISION AND IMAGE PROCESSING (VIP) RESEARCH GROUP

Mehrnaz Fani

Mehrnaz Fani — Fri, 01 Sep 2023 07:43:03 +0000

Mehrnaz Fani was an Industrial Postdoctoral Fellow at Vision and Image Processing Lab (VIP) – Systems Design Eng., University of Waterloo, Oct. 2018 – Sept. 2022. She received her Ph.D. in Electrical Eng. – Telecommunication Systems, from Shiraz University, Iran, in 2018. During her postdoc, she co-led a team of graduated students on the development of cutting-edge deep models for Hockey Video Analytics projects. This included collaboration with Stathletes Inc. on NHL data, and conducting research on homography estimation, players detection, tracking, 2D pose estimation, and action recognition from hockey videos. Mehrnaz, currently, works in industry and is focused on the research and development of advanced computer vision solutions for HD mapping for autonomous driving, from aerial images.

Email: fani.mehrnaz@gmail.com

Linkedin: https://www.linkedin.com/in/mehrnaz-fani/

Github: https://github.com/MehrnazFani

Supervisors

Alexander Wong, David Clausi, John Zelek

Research interests

My research interests are mainly in AI and machin learning, particularly deep learning and computer vision. I am especially interested in working with video and image data and designing novel solutions to address the real-world problems.

Research topics

Computer Vision
Image Segmentation/Classification
Sports Analytics
Video Analysis

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Xiaodan (Charlotte) Hu

vipadmin — Fri, 28 Apr 2023 17:28:17 +0000

My current research primarily focuses on content-adaptive projector resolution enhancement.

Supervisors

Paul Fieguth

Research interests

Projector Display, Image Processing

Research topics

Computer Vision

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Mohamed Naiel

vipadmin — Fri, 28 Apr 2023 17:17:05 +0000

Dr. Mohamed Naiel received the PhD degree in Electrical and Computer Engineering from Concordia University, Montreal, Canada, in May 2017. He did part of his research in human action recognition in videos, object detection and multi-object tracking. Currently, he is a Postdoctoral Fellow at the Systems Design Engineering Department, University of Waterloo, and Vision and Image Processing Lab, Waterloo, Canada. He did part of his research in several joint academic-industrial collaborative projects in the fields of Computer Vision, Image Processing and Machine Learning that involved many partners, such as Nile University, Concordia University, University of Waterloo, Microsoft’s Advanced Technology Lab in Cairo, MakerBloks Inc., Ville de Montreal, Christie Digital Systems, ATS Automation Inc, and Xiris Automation Inc. His research interests include signal, image and video processing, computer vision, machine learning and pattern recognition. Dr. Naiel is a recipient of numerous honors and awards, including the Mitacs Accelerate Fellowship in 2015, and Concordia Full Tuition Recruitment Award in 2011. He has served as a reviewer for many journals and conferences, including, IEEE Transactions on Intelligent Transportation Systems (TITS) and IEEE International Symposium on Circuits and Systems (ISCAS). He was the chair of the Industry Relations Committee of the IEEE Montreal Section from May 2016 to May 2018. During this role, he co-founded the IEEE Research Boost event in 2016.

Personal Webpage

Research interests

Multi-object tracking, Object detection, Human action recognition

Research topics

Video Analysis

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Audrey Chung

Audrey Chung — Fri, 31 Mar 2023 17:52:10 +0000

I am a Ph.D. student researching evolutionary learning in deep networks. I am especially interested in biomedical imaging.

Supervisors

Alexander Wong, Paul Fieguth

Research interests

My research interests include image processing and computer vision, with specific emphasis on biomedical imaging. My current research primarily focuses on computer-aided prostate cancer detection and grading via multi-parametric MRI. Other projects include lung nodule segmentation, video photoplethysmography, and illumination-robust feature detection.

Research topics

Biomedical Imaging
Computer Vision
Discovery Radiomics
Evolutionary Deep Intelligence
Image Segmentation/Classification
Stochastic Models

Publications

Journal Articles / Conference Papers

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Conference Papers

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Francis Li

vipadmin — Thu, 23 Mar 2023 19:25:24 +0000

I am a M.A.Sc. student researching low-cost 3D reconstruction.

Supervisors

Alexander Wong, John Zelek

Research interests

My research interests are in 3D computer vision, image processing, and object recognition. I’m currently working on 3D reconstruction using low-cost hardware.

Research topics

Computer Vision

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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Brendan Chwyl

Brendan Chwyl — Thu, 23 Mar 2023 19:23:26 +0000

I am a M.A.Sc. student researching photoplethysmography imaging and its applications.

Supervisors

Alexander Wong, David Clausi

Research interests

My research interests include topics in image processing and computer vision. I am primarily interested in photopletyhsmography imaging and its application to the analysis of remote heart rate, respiratory rate, and cognitive stress. In addition, I am interested in affect recognition and illumination robust keypoint detection.

Research topics

Biomedical Imaging
Computer Vision

Publications

Journal Articles / Conference Papers

Journal Articles

Conference Papers

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VIP-HARPET Dataset

vipadmin — Tue, 21 Mar 2023 18:55:19 +0000

The VIP-HARPET dataset is a dataset of hockey action recognition and pose estimation in temporal space (HARPET) which consists of sequences of 3 images. Each sequence is pose annotated with respective classes labeled.

Downloads

VIP-HARPET.zip

Related people

Directors

Students

Alumni

Related research areas

Computer Vision

Image Segmentation/Classification

Sports Analytics

VIP-HARPE Dataset

vipadmin — Tue, 21 Mar 2023 18:51:46 +0000

The VIP-HARPE is a custom dataset of static images for hockey action recognition and pose estimation (HARPE). The dataset consists of images of hand annotated images of 18 joints locations which include, head, thorax, hips, elbows, stick, etc., and grouped into classes such as skating, firm-feet, shooting and passing.

Downloads

VIP-HARPET.zip

Related people

Directors

Students

Alumni

Related research areas

Computer Vision

Image Segmentation/Classification

Sports Analytics

VIP-Sal Dataset

vipadmin — Tue, 21 Mar 2023 18:48:40 +0000

The VIP-Sal is a custom dataset of objects against a non-uniform background, under 3 drastic lighting conditions. Ground truth was obtained through manual segmentation.

Downloads

VIP-Sal.zip

Related people

Directors

Students

Alumni

Related research areas

Computer Vision

Image Segmentation/Classification

VIP-LowLight Dataset

vipadmin — Tue, 21 Mar 2023 18:47:28 +0000

The VIP-LowLight dataset is a set of natural images captured in very low-light conditions. The dynamic range of the images were scaled to show the image content and the corresponding amplification of the ISO noise.