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Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

10.12.2020

Frank Dellaert (Georgia Tech) will give a talk in the TUM AI lecture series on Dec 17th, 4pm! Livestream

15.10.2020

Jon Barron (Google) will give a talk in the TUM AI lecture series on Oct 22nd, 9pm! Livestream

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

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Research Interests

  • Visual odometry (RGB-D cameras and laser scanners)
  • Scene flow estimation and motion-based segmentation (RGB-D cameras)
  • 3D reconstruction and tracking (RGB-D cameras)

Brief Bio

I was born in Loja (Granada, Spain) in 1988. I received a B.Sc-M.Sc in "Ingeniería Industrial" (a very general engineering which covers mechanics, computer science, electronics, electricity, etc.) from the University of Málaga in 2010 with highest honor. I also got a M.Sc in Mechatronics in 2012. I received a grant (DPI2011-25483) from the National (Spanish) Plan of Research to do a 4-year PhD under the supervision of Prof. Javier González-Jiménez, which I started in January 2013. From March to July 2014 I was a guest researcher at the Computer Vision group of the Technical University of Munich, and in February 2015 I became a PhD student at the same University, pursuing a joint doctorate, under the supervision of Prof. Daniel Cremers.

For more details (videos, code, etc.) please visit http://mapir.isa.uma.es/mjaimez

Publications


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Journal Articles
2015
[]Fast Visual Odometry for 3-D Range Sensors (M. Jaimez and J. Gonzalez-Jimenez), In IEEE Transactions on Robotics, volume 31, 2015. ([video]) [bibtex] [pdf]
Conference and Workshop Papers
2018
[]StaticFusion: Background Reconstruction for Dense RGB-D SLAM in Dynamic Environments (R Scona, M Jaimez, YR. Petillot, M Fallon and D Cremers), In 2018 IEEE International Conference on Robotics and Automation, ICRA 2018, Brisbane, Australia, May 21-25, 2018, IEEE, 2018.  [bibtex]
2017
[]An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Subdivision Surface Models (M. Jaimez, T. J. Cashman, A. Fitzgibbon, J. Gonzalez-Jimenez and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([video]) [bibtex] [pdf]
[]Fast Odometry and Scene Flow from RGB-D Cameras based on Geometric Clustering (M. Jaimez, C. Kerl, J. Gonzalez-Jimenez and D. Cremers), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2017. ([video]) [bibtex] [pdf]
2016
[]Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach (M. Jaimez, J. G. Monroy and J. Gonzalez-Jimenez), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2016. ([video]) [bibtex] [pdf]
2015
[]Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images (M. Jaimez, M. Souiai, J. Stueckler, J. Gonzalez-Jimenez and D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2015. ([video]) [bibtex] [pdf]
[]A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow (M. Jaimez, M. Souiai, J. Gonzalez-Jimenez and D. Cremers), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2015. ([video]) [bibtex] [pdf]
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Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
CVG Group DVL Group

News

10.12.2020

Frank Dellaert (Georgia Tech) will give a talk in the TUM AI lecture series on Dec 17th, 4pm! Livestream

15.10.2020

Jon Barron (Google) will give a talk in the TUM AI lecture series on Oct 22nd, 9pm! Livestream

02.10.2020

We have five papers accepted to 3DV 2020!

30.09.2020

Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard.

24.07.2020

Our practical course "Vision-based Navigation" (WS18, SS19) by Dr. Vladyslav Usenko and Nikolaus Demmel was honored as best practical course in the academic year 2018/2019 by the department for Informatics.

More