Teaching
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2024, Winter
CSC420: Intro to Image Understanding
Undergraduate course, UTM campus
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection?
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2023, Winter
CSC420: Intro to Image Understanding
Undergraduate course, UTM campus
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection?
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2022, Winter
CSC420: Intro to Image Understanding
Undergraduate course, UTM campus
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection?
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2021, Winter
CSC420: Intro to Image Understanding
Undergraduate course, UTM campus
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection?
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2019, Fall
CSC420: Intro to Image Understanding
Undergraduate course, UTM campus
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection?
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2019, Winter
CSC420: Intro to Image Understanding
Undergraduate course, UTM campus
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection?
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2018, Winter
CSC2548: Machine Learning in Computer Vision
Graduate seminar course
Course Webpage Abstract
In recent years, Deep Learning has become a dominant Machine Learning tool for a wide variety of domains. One of its biggest successes has been in Computer Vision where the performance in problems such object and action recognition has been improved dramatically. In this course, we will be reading up on various Computer Vision problems, the state-of-the-art techniques involving different neural architectures and brainstorming about promising new directions.
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2018, Winter
CSC420: Intro to Image Understanding
Undergraduate course, UTM campus
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection, e.g. find all shots in which Tom Cruise is chasing a bad guy?
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2017, Winter
CSC2539: Visual Recognition with Text
Graduate seminar course
Course Webpage Abstract
Images do not appear in isolation. For example, on the web images are typically surrounded by informative text in the form of tags (e.g., on Flickr), captions (short summaries conveying something about the picture), and blogs/news articles, etc. In robotics, language is the most convenient way to teach an autonomous agent novel concepts or to communicate the mistakes it is making. For example, when providing a novel task to a robot, such as "pass me the stapler", we could provide additional information, e.g., "it is next to the beer bottle on the table". This information could be used to greatly simplify the parsing task. Conversely, it also crucial that the agent communicates its understanding of the scene to the human, e.g., "I can't, I am watching tv on a sofa, next to the wine bottle."
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2017, Winter
CSC420: Intro to Image Understanding
Undergraduate course, UTM campus
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection, e.g. find all shots in which Tom Cruise is chasing a bad guy?
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2016, Winter
CSC411: Machine Learning and Data Mining
Undergraduate course
Course Webpage Abstract
All you wanted to know about ML: Linear Regression, Linear Classifiers, Logistic Regression, Nonparametric Methods, Decision Trees, Multi-class Classifiers, Probabilistic Classifiers, Neural Networks, Clustering, Mixtures of Gaussians and EM, Principal Components Analysis, Kernels and Margins, Support Vector Machines, Ensemble Methods, Bayesian Methods, Reinforcement Learning.
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2016, Winter
CSC2523: Deep Learning in Computer Vision
Graduate seminar course
Course Webpage Abstract
In recent years, Deep Learning has become a dominant Machine Learning tool for a wide variety of domains. One of its biggest successes has been in Computer Vision where the performance in problems such object and action recognition has been improved dramatically. In this course, we will be reading up on various Computer Vision problems, the state-of-the-art techniques involving different neural architectures and brainstorming about promising new directions.
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2015, Fall
CSC420: Intro to Image Understanding
Undergraduate course
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection, e.g. find all shots in which Tom Cruise is chasing a bad guy?
2014 / 2015
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2014, Fall
CSC420: Intro to Image Understanding
Undergraduate course
Course Webpage Abstract
Everyone has large photo collections these days. How can you intelligently find all pictures in which your dog appears? How can you find all pictures in which you are frowning? Can we make cars smart, e.g., can the car drive you to school while you finish your last homework? How can a home robot understand the environment, e.g., switch on a tv when being told so and serve you dinner? If you take a few pictures of your living room, can you reconstruct it in 3D (which allows you to render it from any new viewpoint and thus allows you to create a "virtual tour" of your room)? Can you reconstruct it from one image alone? How can you efficiently browse your home movie collection, e.g. find all shots in which Tom Cruise is chasing a bad guy?
2015, Winter
CSC 2523: Visual Recognition with Text
Graduate seminar course
Course Webpage Abstract
Images do not appear in isolation. For example, on the web images are typically surrounded by informative text in the form of tags (e.g., on Flickr), captions (short summaries conveying something about the picture), and blogs/news articles, etc. In robotics, language is the most convenient way to teach an autonomous agent novel concepts or to communicate the mistakes it is making. For example, when providing a novel task to a robot, such as "pass me the stapler", we could provide additional information, e.g., "it is next to the beer bottle on the table". This information could be used to greatly simplify the parsing task. Conversely, it also crucial that the agent communicates its understanding of the scene to the human, e.g., "I can't, I am watching tv on a sofa, next to the wine bottle."