Michael Firman
Michael Firman
Senior Research Scientist at Niantic, Inc.
Verified email at nianticlabs.com - Homepage
Title
Cited by
Cited by
Year
Digging into self-supervised monocular depth estimation
C Godard, O Mac Aodha, M Firman, GJ Brostow
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
684*2019
RGBD datasets: Past, present and future
M Firman
Proceedings of the IEEE conference on computer vision and pattern …, 2016
1602016
Structured prediction of unobserved voxels from a single depth image
M Firman, O Mac Aodha, S Julier, GJ Brostow
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1422016
Bat detective—Deep learning tools for bat acoustic signal detection
O Mac Aodha, R Gibb, KE Barlow, E Browning, M Firman, R Freeman, ...
PLoS computational biology 14 (3), e1005995, 2018
1162018
Self-supervised monocular depth hints
J Watson, M Firman, GJ Brostow, D Turmukhambetov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
692019
CityNet—Deep learning tools for urban ecoacoustic assessment
AJ Fairbrass, M Firman, C Williams, GJ Brostow, H Titheridge, KE Jones
Methods in ecology and evolution 10 (2), 186-197, 2019
352019
Learning stereo from single images
J Watson, O Mac Aodha, D Turmukhambetov, GJ Brostow, M Firman
European Conference on Computer Vision, 722-740, 2020
142020
Learning to discover objects in RGB-D images using correlation clustering
M Firman, D Thomas, S Julier, A Sugimoto
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
122013
Diversenet: When one right answer is not enough
M Firman, NDF Campbell, L Agapito, GJ Brostow
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
112018
Footprints and free space from a single color image
J Watson, M Firman, A Monszpart, GJ Brostow
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
92020
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth
J Watson, O Mac Aodha, V Prisacariu, G Brostow, M Firman
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22021
Panoptic segmentation forecasting
C Graber, G Tsai, M Firman, G Brostow, AG Schwing
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22021
RecurBot: Learn to Auto-complete GUI Tasks From Human Demonstrations
T Intharah, M Firman, GJ Brostow
Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018
22018
‘Misspelled’ visual words in unsupervised range data classification: The effect of noise on classification performance
M Firman, S Julier
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
22011
Single Image Depth Prediction With Wavelet Decomposition
M Ramamonjisoa, M Firman, J Watson, V Lepetit, D Turmukhambetov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
12021
Self-supervised training of a depth estimation system
C Godard, O Mac Aodha, M Firman, GJ Brostow
US Patent App. 16/413,907, 2019
12019
Shazam for bats: Internet of Things for continuous real‐time biodiversity monitoring
S Gallacher, D Wilson, A Fairbrass, D Turmukhambetov, M Firman, ...
IET Smart Cities, 2021
2021
Determining traversable space from single images
J Watson, MD Firman, A Monszpart, GJ Brostow
US Patent App. 17/193,878, 2021
2021
Self-supervised training of a depth estimation model using depth hints
J Watson, MD Firman, GJ Brostow, D Turmukhambetov
US Patent App. 17/213,634, 2021
2021
Single Image Depth Estimation using Wavelet Decomposition
M Ramamonjisoa, M Firman, J Watson, V Lepetit, D Turmukhambetov
arXiv preprint arXiv:2106.02022, 2021
2021
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