Research

Projects

  1. ARtwin – Solutions for Industry and construction 4.0
  2. EU/MSMT IMPACT Project
  3. R4I – Robotics for Industry 4.0 Project
  4. Research with Continental AG
  5. MAGIK Eye – CTU Laboratory

Internal Seminars and Reading Groups

Our seminar page.

Publications, Code & Datasets

·T Duff, K Kohn, A Leykin, T Pajdla. PLMP – Point-Line Minimal Problems in Complete Multi-View Visibility. ICCV 2019 | pdf (ORAL)

· F Arrigoni, T Pajdla. Robust Motion Segmentation From Pairwise Matches. ICCV 2019 | pdf

· 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 . ICCV 2019 | pdf

· Z Li, J Sedlar, J Carpentier, I Laptev, N Mansard, J Sivic. Estimating 3D Motion and Forces of Person-Object Interactions From Monocular Video. CVPR 2019 | pdf

· D Zhukov, J-B Alayrac, R G Cinbis, D Fouhey, I Laptev, J Sivic. Cross-Task Weakly Supervised Learning From Instructional Videos. CVPR 2019 | pdf

· M Dusmanu, I Rocco, T Pajdla, M Pollefeys, J Sivic, A Torii, T Sattler. D2-Net: A Trainable CNN for Joint Description and Detection of Local Features. CVPR 2019 | pdf | supp

· C Albl, Z Kukelova, V Larsson, T Pajdla. Rolling Shutter Camera Absolute Pose. IEEE PAMI 2019 | pdf

· K Stepanova, T Pajdla, M Hoffmann. Robot Self-Calibration Using Multiple Kinematic Chains—A Simulation Study on the iCub Humanoid Robot. IEEE Robotics and Automation Letters 2019 (4) | pdf

· I Rocco, M Cimpoi, R Arandjelović, A Torii, T Pajdla, J Sivic. Neighbourhood Consensus Networks. NIPS 2018 | arXiv

· Z Kukelova, C Albl, A Sugimoto, T Pajdla. Linear solution to the minimal absolute pose rolling shutter problem. ACCV 2018 | pdf

· J Pritts, Z Kukelova, V Larsson, O Chum. Rectification from Radially-Distorted Scales. ACCV 2018 | arXiv

· L Magerand, A Del Bue. Revisiting Projective Structure for Motion: A Robust and Efficient Incremental Solution. IEEE PAMI 2018 | pdf

· F Arrigoni, A Fusiello. Bearing-based Network Localizability: a Unifying View. IEEE PAMI 2018pdf

· V Larsson, M Oskarsson, K Åström, A Wallis, Z Kukelova, T Pajdla. Beyond Gröbner Bases: Basis Selection for Minimal Solvers. CVPR 2018 pdf | arXiv

·  H Taira, M Okutomi, T Sattler, M Cimpoi, M Pollefeys, J Sivic, T Pajdla, A Torii. InLoc: Indoor Visual Localization with Dense Matching and View Synthesis. CVPR 2018 pdf | arXiv

· T Sattler, W Maddern, C Toft, A Torii, L Hammarstrand, E Stenborg, D Safari, M Okutomi, M Pollefeys, J Sivic, F Kahl, T Pajdla. Benchmarking 6DOF Urban Visual Localization in Changing Conditions. CVPR 2018 pdf | arXiv

· A Torii, R Arandjelovic, J Sivic, M Okutomi, T Pajdla. 24/7 Place Recognition by View Synthesis.IEEE TPAMI 2018 pdf | CVPR 2015 pdf | Project page+data+code

· R Arandjelovic, P Gronat, A Torii, T Pajdla and J Sivic. NetVLAD: CNN architecture for weakly supervised place recognition. IEEE PAMI 2018 pdfCVPR 2016 (oral) pdfProject page | video

·  M Polic, T Pajdla. Camera Uncertainty Computation in Large 3D Reconstruction. 3DV 2017 pdf | Project page

·  M Lukac, D Sykora, K Sunkavalli, E Shechtman, O Jamriska, N Carr, T Pajdla. Nautilus: recovering regional symmetry transformations for image editingSIGGRAPH 2017 | ACM TOG Journal PDF | Project page

· T Sattler, A Torii, J Sivic, M Pollefeys, H Taira, M Okutomi, T Pajdla. Are Large-Scale 3D Models Really Necessary for Accurate VisualLocalization? CVPR 2017 | pdf | Project page

· C Albl, Z Kukelova, A Fitzgibbon, J Heller, M Smid, T Pajdla. On the Two-View Geometry of Unsynchronized CamerasCVPR 2017 | pdf | Supplementary

· Z Kukelova, J Kileel, B Sturmfels, T Pajdla. A clever elimination strategy for efficient minimal solversCVPR 2017 | pdf | Supplementary | arXiv

· J Kileel, Z Kukelova, T Pajdla, B Sturmfels. Distortion varieties. Foundations of Computational Mathematics | arXiv

· C Albl, A Sugimoto, T Pajdla. Degeneracies in rolling shutter SfMECCV 2016 | LNCS | pdf

· J Heller, M Havlena, T Pajdla. Globally optimal hand-eye calibration using branch-and-boundIEEE TPAMI 2016 | pdf

· P Gronat, J Sivic, G Obozinski, T Pajdla. Learning and Calibrating Per-Location Classifiers for Visual Place RecognitionIJCV 2016 pdf | CVPR 2013 pdf

· J Heller, T Pajdla. GpoSolver: a Matlab/C++ toolbox for global polynomial optimization. Optimization Methods and Software 2016 | pdf | Software

Past Activities

  1. EU H2020 LADIO Project