I am Michael Firman, a staff research scientist at Niantic, Inc., where I work on machine learning and computer vision research to help people explore the world around them.
Previously, I worked at UCL in the Vision and Graphics group as a postdoc on the Engage project, making machine learning tools accessible to scientists across different disciplines. This work was with Prof. Mike Terry at the University of Waterloo, Dr. Gabriel Brostow at UCL and Prof. Kate Jones at UCL.
My PhD was supervised by Dr. Simon Julier and Dr. Jan Boehm. During my PhD I predominantly worked on the problem of inferring a full volumetric reconstruction of a scene, given only a single depth image as input. This problem has many applications in robotics, computer graphics and augmented reality.
During the summer of 2012 I worked at the National Institute of Informatics, Tokyo, under the supervision of Prof. Akihiro Sugimoto.
I have also served as a reviewer for CVPR, ECCV, ICCV, IROS, BMVC, ICRA, IJCV, CVIU, 3DV and ISMAR. I received CVPR's `outstanding reviewer' award in 2018, 2020 and 2022.
European Conference on Computer Vision (ECCV) 2024
European Conference on Computer Vision (ECCV) 2024
Computer Vision and Patern Recognition (CVPR) 2024
Computer Vision and Patern Recognition (CVPR) 2024
Computer Vision and Patern Recognition (CVPR) 2023
Paper (.pdf) // Code // Website
Computer Vision and Patern Recognition (CVPR) 2023
Paper (.pdf) // Code // Website
Computer Vision and Patern Recognition (CVPR) 2023
Computer Vision and Patern Recognition (CVPR) 2023
Winter Conference on Applications of Computer Vision (WACV) 2023
Winter Conference on Applications of Computer Vision (WACV) 2023
European Conference on Computer Vision (ECCV) 2022
Paper (.pdf) // Code // Website
European Conference on Computer Vision (ECCV) 2022
Paper (.pdf) // Code // Website
European Conference on Computer Vision (ECCV) 2022
European Conference on Computer Vision (ECCV) 2022
Computer Vision and Pattern Recognition (CVPR) 2021
Computer Vision and Pattern Recognition (CVPR) 2021
Computer Vision and Pattern Recognition (CVPR) 2021
Computer Vision and Pattern Recognition (CVPR) 2021
Computer Vision and Pattern Recognition (CVPR) 2021
Computer Vision and Pattern Recognition (CVPR) 2021
European Conference on Computer Vision (ECCV) 2020 (Oral)
European Conference on Computer Vision (ECCV) 2020 (Oral)
Computer Vision and Pattern Recognition (CVPR) 2020 (Oral)
Computer Vision and Pattern Recognition (CVPR) 2020 (Oral)
International Conference of Computer Vision (ICCV) 2019
International Conference of Computer Vision (ICCV) 2019
International Conference of Computer Vision (ICCV) 2019
International Conference of Computer Vision (ICCV) 2019
Computer Vision and Pattern Recognition (CVPR) 2018
Computer Vision and Pattern Recognition (CVPR) 2018
Methods in Ecology and Evolution 2019
Methods in Ecology and Evolution 2019
PLoS Computational Biology 2018
PLoS Computational Biology 2018
CHI 2018: Late Breaking Work 2018
CHI 2018: Late Breaking Work 2018
CVPR Workshop on Large Scale 3D Data: Acquisition, Modelling and Analysis 2016
CVPR Workshop on Large Scale 3D Data: Acquisition, Modelling and Analysis 2016
Computer Vision and Pattern Recognition (CVPR) 2016 (Oral)
Paper (.pdf) // Supplementary (.pdf) // Project page // BibTeX (.bib)
Computer Vision and Pattern Recognition (CVPR) 2016 (Oral)
Paper (.pdf) // Supplementary (.pdf) // Project page // BibTeX (.bib)
International Conference on Intelligent Robots and Systems (IROS) 2013
International Conference on Intelligent Robots and Systems (IROS) 2013
International Conference on Intelligent Robots and Systems (IROS) 2011
International Conference on Intelligent Robots and Systems (IROS) 2011
There are many great lists of computer vision datasets on the web but no dedicated source for datasets captured by Kinect or similar devices. I created this list in an attempt to remedy the situation.
2023 update: Unfortunately I am no longer maintaining this list. Please consider it a snapshot of datasets up to around 2017.
During my PhD I was a teaching assistant on COMPM054/COMPGI14 Machine Vision. Teaching materials are available on the Moodle page.
A digital copy of Dr. Simon Prince's book 'Computer Vision: Models, Learning, and Inference', which forms a core of the syllabus, can be downloaded from www.computervisionmodels.com