I lead the Image and Video Computing (IVC) Group at University of Colorado Boulder. Our aim is to create computing systems that enable and accelerate the analysis of visual information, as a critical precursor to discoveries and innovations that can benefit society at large. Our research involves computer vision, machine learning, crowdsourcing, human computation, human-computer interaction, accessibility, and (bio)medical image analysis. We develop both scalable automated algorithms and crowdsourced human intelligence systems for analyzing images and videos. Research problems addressed by our group include salient object detection, object segmentation, object tracking, (bio)medical image and video analysis, visual question answering, image captioning, assistive technologies for people who are blind and with low vision, image inpainting, and style transfer.
keywords
machine learning, human computation, crowdsourcing, (bio)medical image and video analysis
Assessing Image Quality Issues for Real-World Problems.
Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
3643-3653.
2020
Unconstrained Foreground Object Search.
Proceedings / IEEE International Conference on Computer Vision. IEEE International Conference on Computer Vision.
2030-2039.
2019
CSCI 5922 - Fundamentals of Neural Networks and Deep Learning
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Spring 2022 / Fall 2022 / Spring 2024
This course covers the fundamentals of neural networks and deep learning as well as how they are used to address many artificial intelligence problems in society. Students will learn to design and implement multi-layered neural network architectures, train them on large amounts of data, and evaluate their performance. Included will be examination of popular architectures such as fully connected networks, convolutional neural networks, recurrent neural networks, and transformers, alongside learning strategies such as backpropagation, initialization, and regularization. Students will also gain practical, hands-on experience by applying learned skills to analyze visual data (computer vision) and textual data (natural language processing).
CSCI 6950 - Master's Thesis
Primary Instructor
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Fall 2021 / Spring 2022 / Summer 2022 / Fall 2022 / Spring 2023 / Fall 2023 / Spring 2024
CSCI 7000 - Current Topics in Computer Science
Primary Instructor
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Fall 2021 / Fall 2023 / Fall 2024
Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 18 total credit hours.
