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
Captioning Images Taken by People Who Are Blind.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
417-434.
2020
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
