jirisedlar.github.io

Jiri Sedlar

Thesis topics:

• Analysis of Molecular Dynamic Simulations for Alzheimer’s Disease Research using VAMPnet Neural Networks
• Self-supervised learning for solving geometric construction problems from images
• All thesis and internship topics at ELLIS Prague

E-mail: Jiri dot Sedlar at cvut dot cz
Office: CIIRC B-636 (building B, 6th floor)

Intelligent Machine Perception Project (IMPACT)
Czech Institute of Informatics, Robotics, and Cybernetics (CIIRC)
Czech Technical University in Prague

• 2017-present Czech Technical University, Prague, Czech Republic (Computer Vision and Machine Learning)
• 2014-2017 Mayo Clinic, Rochester MN, USA (Medical Image Processing)
• 2013-2014 Flinders University, Adelaide SA, Australia (Medical Image Analysis)
• PhD 2013 Charles University / Czech Academy of Sciences, Prague, Czech Republic (Computer Science)

Selected publications:

• Z Li, J Sedlar, J Carpentier, I Laptev, N Mansard, J Sivic
  Estimating 3D Motion and Forces of Human-Object Interactions from Internet Videos
  International Journal of Computer Vision (IJCV) (2022) - PDF - Project page
• J Macke, J Sedlar, M Olsak, J Urban, J Sivic
  Learning to solve geometric construction problems from images
  Conference on Intelligent Computer Mathematics (CICM) (2021) - PDF - Project page
• Z Li, J Sedlar, J Carpentier, I Laptev, N Mansard, J Sivic
  Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019) - Best paper finalist - PDF - Project page
• H Taira, I Rocco, J Sedlar, M Okutomi, J Sivic, T Pajdla, T Sattler, A Torii
  Is This the Right Place? Geometric-Semantic Pose Verification for Indoor Visual Localization
  IEEE International Conference on Computer Vision (ICCV) (2019) - PDF - Project page
• Z Akkus, I Ali, J Sedlar, J P Agrawal, I F Parney, C Giannini, B J Erickson
  Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence
  Journal of Digital Imaging (2017) - PDF
• Z Akkus, J Sedlar, L Coufalova, P Korfiatis, T L Kline, J D Warner, J Agrawal, B J Erickson
  Semi-automated segmentation of pre-operative low grade gliomas in magnetic resonance imaging
  Cancer Imaging (2015) - PDF
• A Novozamsky, J Sedlar, A Zita, F Sroubek, J Flusser, J G Svec, J Vydrova, B Zitova
  Image analysis of videokymographic data
  IEEE International Conference on Image Processing (ICIP) (2015) - PDF
• M Caon, J Sedlar, M Bajger, G Lee
  Computer-assisted segmentation of CT images by statistical region merging for the production of voxel models of anatomy for CT dosimetry
  Australasian Physical & Engineering Sciences in Medicine (2014) - PDF
• J Sedlar, B Zitova, J Kopecek, J Flusser, T Todorciuc, I Kratochvilova
  Automatic determination of the size of elliptical nanoparticles from AFM images
  Journal of Nanoparticle Research (2013) - PDF