placeholder image
  • Contact Info
Publications in VIVO
 

Gurari, Danna

Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • 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

Publications

selected publications

Teaching

courses taught

  • CSCI 5922 - Neural Networks and Deep Learning
    Primary Instructor - Spring 2022 / Fall 2022 / Spring 2024
    Introduces modern approaches to machine learning using neural networks. Neural nets, popular in the early 1990s, have undergone a resurgence due to significant advances in computing power and the availability of very large data sets. Now rechristened 'deep learning', the field has produced state-of-the-art results in a range of artificial intelligence problems, including vision, speech and natural language processing.
  • CSCI 6950 - Master's Thesis
    Primary Instructor - Fall 2021 / Spring 2022 / Summer 2022 / Fall 2022 / Spring 2023 / Fall 2023 / Spring 2024
    -
  • CSCI 7000 - Current Topics in Computer Science
    Primary Instructor - Fall 2021 / Fall 2023
    Covers research topics of current interest in computer science that do not fall into a standard subarea. May be repeated up to 8 total credit hours.

Background

Other Profiles