University of Waterloo

Category: Computer Vision

  • Farnoud Kazemzadeh

    Farnoud Kazemzadeh

    Design, build, and application of scientific multispectroscopic, hyperspectroscopic, and interferometric imaging systems for various sensing applications: up-looking (astronomy) and down-looking (space instrumentation, Earth sciences, biomedicine, security, military).

  • Sunil Sinha

    Sunil Sinha

    I am a Ph.D. student at the VIP lab working under Professor Paul Fieguth. My research involves image segmentation and scientific imaging. Specifically, automated visual inspection of underground pipes.

  • Zohreh Azimifar

    Zohreh Azimifar

    Research interests include statistical learning of generative and discriminative models for massive data sources with particular attention in statistical computer vision and pattern recognition.

  • Akshaya Mishra

    Akshaya Mishra

    Akshaya has been working in the field of image processing, pattern recognition and computer vision for nine years. He has been publishing and serving as an reviewer for several key image processing and computer vision conferences and journals.

  • Ying Liu

    Ying Liu

    My research interests lie in multidimensional signal processing, statistical modeling, and machine learning. My work is focused on the developing methodology and application algorithms for multivariate data analysis, multiresolution representation and estimation, in particular, for image and video processing, remote sensing and scientific sensing data modeling and analysis.

  • Amir H. Shabani

    Amir H. Shabani

    My main research interests are in the field of computer vision, pattern recognition, and machine learning for video analytics with the focus on human tracking and event/activity recognition in video. I developed several algorithms for image and video analysis including detection and tracking of humans in video, motion estimation, multi-resolution video processing, biologically-inspired spatio-temporal filtering,…

  • Li Shen

    Li Shen

    My research is focused on pattern recognition and machine learning theory and algorithms to make an optimal decision such as identifying or classifying objects in remote sensing (RS) imageries for natural disaster reduction. Currently, I’m mainly concentrating on how to apply the probabilistic topic models to conduct semantc analysis on RS imageries.

  • Shimon Schwartz

    Shimon Schwartz

    My research interests are in the fields of image processing, machine learning and computer vision with an emphasis on Compressive Sensing for efficient signal acquisition.

  • Justin Eichel

    Justin Eichel

    Ultra High Resolution Optical Coherence Tomography (UHROCT) Reconstruction, Corneal Imaging, Tracking Systems, Controls, Statistical Modelling, Systems Integration, Real-Time Communications, Computational Intelligence.

  • Daniel S. Cho

    Daniel S. Cho

    My research interests are in image processing, medical image registration and reconstruction and I am currently working on computer-aided melanoma (one type of skin cancer) diagnosis through the modeling of physiological characteristics of skin lesions using multi-spectral imagery.