Michael Tanner

Michael Tanner joined the Oxford Robotics Institute in 2014 in pursuit of his DPhil. He researched methods to fuse data from a variety of sensors (LIDAR, stereo or monocular cameras, etc.) to create large-scale, 3D dense reconstructions for autonomous vehicle applications.

In 2009, he completed his M.S. in Computer Engineering at the Air Force Institute of Technology in Dayton, Ohio in the United States where he leveraged the emerging general-purpose computing capabilities of graphics processors to accelerate multiple-target tracking systems.  Following his M.S., he developed next-generation, low-power/high-performance computer clusters for airborne applications.

In his free time, Michael explores the English countryside with his wife and three children.

2018

•  M. Tanner, S. Saftescu, A. Bewley, and P. Newman, “Meshed Up: Learnt Error Correction in 3D Reconstructions,” in 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018, p. 3201–3206.
  [Bibtex]

  @inproceedings{tanner2018meshed,
  title={Meshed Up: Learnt Error Correction in 3D Reconstructions},
  author={Tanner, Michael and Saftescu, Stefan and Bewley, Alex and Newman, Paul},
  booktitle={2018 IEEE International Conference on Robotics and Automation (ICRA)},
  pages={3201--3206},
  year={2018},
  organization={IEEE},
  url = {https://arxiv.org/abs/1801.09128},
  pdf = {https://arxiv.org/pdf/1801.09128.pdf}
  }

2017

• G. Pascoe, W. Maddern, M. Tanner, P. Pinies, and P. Newman, “NID-SLAM: Robust Monocular SLAM using Normalised Information Distance,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017.
  [Bibtex]

  @InProceedings{PascoeCVPR2017,
  author = {Pascoe, Geoffrey and Maddern, Will and Tanner, Michael and Pinies, Pedro and Newman, Paul},
  title = {{NID-SLAM}: Robust Monocular {SLAM} using Normalised Information Distance},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
  address = {Honolulu, HI},
  month = {July},
  pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/2017CVPR_pascoe.pdf},
  }

2016

• M. Tanner, P. Piniés, L. M. Paz, and P. Newman, “Keep Geometry in Context: Using Contextual Priors for Very-Large-Scale 3D Dense Reconstructions,” in Robotics: Science and Systems, Workshop on Geometry and Beyond: Representations, Physics, and Scene Understanding for Robotics, 2016.
  [Bibtex]

  @InProceedings{TannerRSS2016,
  author = {Tanner, Michael and Pini{\'e}s, Pedro and Paz, Lina Maria and Newman, Paul},
  title = {{Keep Geometry in Context: Using Contextual Priors for Very-Large-Scale 3D Dense Reconstructions}},
  booktitle = {Robotics: Science and Systems, Workshop on Geometry and Beyond: Representations, Physics, and Scene Understanding for Robotics},
  year = {2016},
  month = June,
  pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/RSS2016_Tanner.v3.camera_ready.pdf},
  }

• M. Tanner, P. Piniés, L. M. Paz, and P. Newman, “DENSER Cities: A System for Dense Efficient Reconstructions of Cities,” ArXiv e-prints, 2016.
  [Bibtex]

  @Article{TannerArXiv2016,
  author = {Tanner, Michael and Pini{\'e}s, Pedro and Paz, Lina Maria and Newman, Paul},
  title = {{DENSER Cities: A System for Dense Efficient Reconstructions of Cities}},
  journal = {ArXiv e-prints},
  year = {2016},
  month = apr,
  adsnote = {Provided by the SAO/NASA Astrophysics Data System},
  adsurl = {http://adsabs.harvard.edu/abs/2016arXiv160403734T},
  archiveprefix = {arXiv},
  eprint = {1604.03734},
  pdf = {http://arxiv.org/pdf/1604.03734v1.pdf},
  keywords = {Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics},
  primaryclass = {cs.CV},
  }

• M. Tanner, P. Piniés, L. M. Paz, and P. Newman, “What Lies Behind: Recovering Hidden Shape in Dense Mapping,” in Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden, 2016.
  [Bibtex]

  @InProceedings{TannerICRA2016,
  author = {Tanner, Michael and Pini{\'e}s, Pedro and Paz, Lina Maria and Newman, Paul},
  title = {{W}hat {L}ies {B}ehind: {R}ecovering {H}idden {S}hape in {D}ense {M}apping},
  booktitle = {{P}roceedings of the {IEEE} {I}nternational {C}onference on {R}obotics and {A}utomation ({ICRA})},
  year = {2016},
  address = {Stockholm, Sweden},
  month = {May},
  pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/ICRA2016BORG2_Tanner.v6.camera_ready.pdf},
  }

2015

• M. Tanner, P. Piniés, L. M. Paz, and P. Newman, “BOR2G: Building Optimal Regularised Reconstructions with GPUs (in cubes),” in International Conference on Field and Service Robotics (FSR), Toronto, ON, Canada, 2015.
  [Bibtex]

  @InProceedings{TannerFSR2015,
  author = {Tanner, Michael and Pini{\'e}s, Pedro and Paz, Lina Maria and Newman, Paul},
  title = {{BOR2G}: {B}uilding {O}ptimal {R}egularised {R}econstructions with {GPU}s (in cubes)},
  booktitle = {{I}nternational {C}onference on {F}ield and {S}ervice {R}obotics ({FSR})},
  year = {2015},
  address = {Toronto, ON, Canada},
  month = {June},
  pdf = {http://www.robots.ox.ac.uk/~mobile/Papers/FSR2015BORG_Tanner.v2.final_publication.pdf},
  }